java full stack ai engineer (senior software engineer)

python developer– generative ai & cloud (agentic ai)

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java full stack ai engineer (senior software engineer) Jobs in Tampa

python developer– generative ai & cloud (agentic ai) Jobs in Tampa

senior generative ai developer-1 Jobs in Tampa

senior generative ai developer-1

python developer generative ai cloud agentic ai

Realign

<div>Tampa, Florida 33592 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
Role - Python Developer&ndash; Generative AI &amp; Cloud (Agentic AI) 
Location - Tampa, FL and Jersey City, NJ (3 Days onsite/week) 
FTE 
Job Description:<ul><li>Strong hands‑on experience in Python development for AI/ML workloads</li><li>Practical exposure to Generative AI models (LLMs, transformers, diffusion models)</li><li>Understanding/practical knowledge on Agentic AI frameworks</li><li>Experience working with cloud‑native AI services on GCP/AWS/Azure</li><li>Understanding of privacy‑preserving ML techniques and responsible AI practices</li><li>Experience working with prompt engineering including tool calling and guardrails</li><li>Familiarity with MLOps pipelines, model deployment, and monitoring</li><li>Ability to design scalable, production‑ready AI solutions</li></ul>
Key Responsibilities:<ul><li>Design, develop, and optimize Python‑based AI/ML applications</li><li>Build, fine‑tune, and deploy Generative AI solutions using modern frameworks</li><li>Integrate AI models with cloud platforms and managed AI services</li><li>Develop scalable APIs and microservices supporting AI workloads</li><li>Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions</li><li>Implement CI/CD pipelines ensuring code quality, testing, and security</li><li>Monitor and optimize performance, reliability, and cost of cloud AI deployments</li><li>Ensure compliance with data privacy, security, and responsible AI guidelines</li></ul>
Required Skills
CLOUD DEVELOPER SQL APPLICATION DEVELOPER</div>

Python Developer– Generative AI & Cloud (Agentic AI)

<div>Tampa, Florida 33592 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Title: Senior Generative AI Developer 
Location &ndash; Irving, TX / Tampa, FL / Jersey City, NJ (3 Days onsite/week) 
FTE</div><div> 
 
Job Description: 
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.</div><div></div><div> 
Key Responsibilities: 
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. 
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance. 
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines. 
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. 
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases. 
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP). 
Conduct performance tuning and optimization of AI models and APIs. 
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.</div><div> 
Required Skills &amp; Qualifications 
8+ years of professional experience in software development and system design. 
Strong proficiency in Python and experience with FastAPI for API development. 
Hands-on experience with Generative AI frameworks and RAG architectures. 
Solid understanding of system and architecture design principles for distributed applications. 
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP). 
Familiarity with vector databases, embedding models, and retrieval pipelines. 
Strong problem-solving skills and ability to work in a fast-paced environment.</div><div> 
Preferred Qualifications 
Experience with LLM fine-tuning, prompt engineering, and model evaluation. 
Knowledge of containerization (Docker) and orchestration (Kubernetes). 
Exposure to CI/CD pipelines and DevOps practices.</div> 

Required Skills
CLOUD DEVELOPER SQL APPLICATION DEVELOPER</div>

Senior Generative AI Developer-1

The Hearst Corporation

<div>The Software Engineer Intern will support the design, development, and maintenance of scalable software solutions that enable enterprise data processing, system integrations, reporting capabilities, and emerging intelligent automation features. This role contributes to the implementation of ETL workflows, API-based integrations, file-based data exchanges, and backend services supporting business-critical applications. The intern may also assist in integrating AI-powered services into data workflows and APIs under the guidance of senior engineers.
In this role, the intern will gain hands-on experience working in a production environment and contributing to real-world integration solutions. This opportunity offers meaningful exposure to Java, Python, SQL, REST API development, AWS cloud technologies, and AI-assisted development practices while collaborating with experienced engineers in an Agile delivery environment.
This 10-week internship (June 1 - August 14, 2026) will work thirty (30) hours per week to provide practical experience with modern software engineering practices within a fast-paced, team-oriented setting.
Hourly rate: $20./hour.
What You Will Gain
<ul><li>Hands-on experience with enterprise-scale ETL and data integration workflows
</li><li>Exposure to REST API design, configuration, and documentation best practices
</li><li>Practical experience with Java, Python, SQL, and AWS cloud services
</li><li>Understanding of secure data exchange and production deployment processes
</li><li>Exposure to integrating AI-powered APIs into enterprise data processing and system integration workflows
</li><li>Experience working in an Agile, team-based development environment
</li><li>Insight into delivering scalable, client-facing technical solutions
</li></ul>Key Responsibilities
<ul><li>Assist in the design, development, and maintenance of ETL pipelines and file-based data integration processes (imports/exports).
</li><li>Support the configuration, testing, and documentation of RESTful APIs for internal and external system integrations.
</li><li>Perform data mapping, transformation, and validation between source and target systems.
</li><li>Contribute to API endpoint configuration, request/response handling, and schema validation.
</li><li>Participate in debugging, testing, and troubleshooting integration and data workflow issues.
</li><li>Write and optimize SQL queries to support data extraction, reporting, and validation activities.
</li><li>Support reporting, data extracts, and data warehousing initiatives.
</li><li>Leverage AI-assisted development tools responsibly to improve productivity while adhering to coding standards, documentation practices, and secure data handling procedures.
</li><li>Collaborate with cross-functional engineering and product teams in an Agile development environment.
</li></ul>Education Required :
<ul><li>Currently working toward a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Information Systems, or other relevant technical discipline.
</li></ul>Qualifications Required :
<ul><li>Foundational programming knowledge in Java or Python.
</li><li>Basic understanding of relational databases and SQL.
</li><li>Familiarity with REST APIs and web service concepts.
</li><li>Strong analytical and problem-solving skills.
</li><li>Effective communication and collaboration abilities.
</li><li>Ability to collaborate in our Tampa office on a hybrid schedule (Tuesday, Wednesday, Thursday).
</li></ul><h2 class="jobSectionHeader">Qualifications Preferred:
</h2><ul><li>Basic exposure to ETL concepts or data transformation workflows.
</li><li>Some experience writing SQL queries and working with relational databases (e.g., MySQL, Oracle)
</li><li>Familiarity with JSON, XML, or similar structured data formats.
</li><li>Coursework or project experience involving APIs, integrations, or cloud platforms.
</li><li>Introductory exposure to artificial intelligence, machine learning, or generative AI concepts through coursework or projects.
</li><li>Familiarity with LLM-based APIs (e.g., Anthropic, Claude Code, OpenAI, AWS Bedrock, or similar generative AI services) is a plus.
</li><li>Introductory exposure to AWS services.
</li></ul>At MHK we help health plans and pharmacy benefit managers deliver optimal care management across every member&rsquo;s health journey. We do this through state-of-the-art technology that provides critical insights from member enrollment and maintenance through every stage of care and compliance. We believe that long-term partnerships are built on trust. Our team members are expected to build trusted advisory relationships&mdash;with MHK clients and one another&mdash;through responsive, transparent communication, while honoring commitments, and tying that trust to outcomes.
EQUAL OPPORTUNITY EMPLOYER - VETERANS/DISABLED. Always be aware of Recruitment Fraud</div>
 Degree Level : Some College

Software Engineer Intern

Information Technology Senior Management Forum

<div><div>Posted Date
2/23/2026
</div><div>Description
<div>We are seeking a skilled and passionate GenAI Engineer to join our team in Tampa, FL, and contribute to advancing our AI/ML capabilities within Citi Finance projects. This position focuses on the development and implementation of GenAI solutions, including chatbot development, and working with both structured and unstructured data. The successful candidate will implement cutting-edge GenAI applications for various financial use cases, leveraging strong Python skills and experience in areas like RAG pipelines, vector databases, prompt engineering, LLMs (Llama, Gemini, GPT-4), and dynamic SQL.
Responsibilities<ul><li>
Design, develop, and deploy end-to-end GenAI solutions, including chatbot development, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting. Experience in real-world project implementation is essential.</li><li>
Process and analyze both structured and unstructured data to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation.</li><li>
Collaborate effectively with a team of AI/ML engineers, contributing to expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development.</li><li>
Implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications.</li><li>
Collaborate with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows.</li><li>
Utilize text-to-SQL to efficiently query and retrieve data from relational databases, integrating this data into GenAI pipelines.</li><li>
Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions.</li><li>
Contribute directly to the codebase and participate in technical decision-making, demonstrating hands-on technical expertise in GenAI implementation.</li><li>
Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI.</li></ul>
Required Skills and Qualifications<ul><li>
Bachelor's or Master&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
5-8 years of software engineering experience with a strong focus on AI/ML solutions.</li><li>
2+ years of real-world experience in implementing GenAI solutions, including demonstrable experience deploying production-ready GenAI and Chatbot applications.</li><li>
Understanding of GenAI models and architectures, with practical experience applying these models to real-world problems.</li><li>
Strong Python programming skills with extensive experience using relevant packages for GenAI and chatbot development.</li><li>
Experience processing and analyzing both structured and unstructured data, utilizing techniques like NLP and information retrieval.</li><li>
Ability to design and implement RAG pipelines.</li><li>
Hands-on experience with LLMs like Llama, Gemini, and GPT-4.</li><li>
Proficiency in text-to-SQL implementation leveraging LLMs for data extraction and insight generation from relational databases.</li><li>
Experience with cloud platforms and MLOps tools.</li><li>
Good understanding of Agentic AI concepts with POC exposure as an added advantage.</li><li>
Strong understanding of software engineering principles.</li><li>
Excellent communication, collaboration, and problem-solving skills.</li><li>
Experience in utilizing AI tools for development and deployment.</li></ul>
Preferred Qualifications<ul><li>
Experience with financial data and applications.</li><li>
Familiarity with specific GenAI applications in finance.</li><li>
Contributions to open-source projects related to GenAI or machine learning.</li></ul>
Technology Stack<ul><li>
Programming Languages: Python (strong proficiency required), potentially Java or Scala.</li><li>
Python Packages: Transformers, LangChain, LangGraph, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, Requests, Beautiful Soup, SQLAlchemy, and other relevant packages for data processing, web development, chatbot development, and database interaction.</li><li>
Deep Learning Frameworks: TensorFlow, PyTorch</li><li>
GenAI Libraries/Frameworks: Transformers (Hugging Face), LangChain, LangGraph</li><li>
LLMs: Llama, Gemini, GPT-4</li><li>
Vector Databases: PostgresDB</li><li>
Cloud Platforms: AWS, Azure, or GCP</li><li>
MLOps Tools: MLflow, Kubeflow</li><li>
Data Science Libraries: Pandas, NumPy, Scikit-learn</li><li>
Containerization: Docker, Kubernetes</li><li>
Version Control: Git</li><li>
Databases: SQL databases (e.g., PostgreSQL, MySQL, SQL Server) &ndash; experience with text-to-SQL is essential.</li></ul>
Job Description: GenAI Engineer/ AI/ML Engineer - Citi Finance Tech (Tampa, FL, USA)
Role Overview
We are seeking a skilled and passionate GenAI Engineer to join our team in Tampa, FL, and contribute to advancing our AI/ML capabilities within Citi Finance projects. This position focuses on the development and implementation of GenAI solutions, including chatbot development, and working with both structured and unstructured data. The successful candidate will implement cutting-edge GenAI applications for various financial use cases, leveraging strong Python skills and experience in areas like RAG pipelines, vector databases, prompt engineering, LLMs (Llama, Gemini, GPT-4), and dynamic SQL.
Responsibilities<ul><li>
Design, develop, and deploy end-to-end GenAI solutions, including chatbot development, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting. Experience in real-world project implementation is essential.</li><li>
Process and analyze both structured and unstructured data to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation.</li><li>
Collaborate effectively with a team of AI/ML engineers, contributing to expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development.</li><li>
Implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications.</li><li>
Collaborate with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows.</li><li>
Utilize text-to-SQL to efficiently query and retrieve data from relational databases, integrating this data into GenAI pipelines.</li><li>
Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions.</li><li>
Contribute directly to the codebase and participate in technical decision-making, demonstrating hands-on technical expertise in GenAI implementation.</li><li>
Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI.</li></ul>
Required Skills and Qualifications<ul><li>
Bachelor's or Master&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
5-8 years of software engineering experience with a strong focus on AI/ML solutions.</li><li>
2+ years of real-world experience in implementing GenAI solutions, including demonstrable experience deploying production-ready GenAI and Chatbot applications.</li><li>
Understanding of GenAI models and architectures, with practical experience applying these models to real-world problems.</li><li>
Strong Python programming skills with extensive experience using relevant packages for GenAI and chatbot development.</li><li>
Experience processing and analyzing both structured and unstructured data, utilizing techniques like NLP and information retrieval.</li><li>
Ability to design and implement RAG pipelines.</li><li>
Hands-on experience with LLMs like Llama, Gemini, and GPT-4.</li><li>
Proficiency in text-to-SQL implementation leveraging LLMs for data extraction and insight generation from relational databases.</li><li>
Experience with cloud platforms and MLOps tools.</li><li>
Good understanding of Agentic AI concepts with POC exposure as an added advantage.</li><li>
Strong understanding of software engineering principles.</li><li>
Excellent communication, collaboration, and problem-solving skills.</li><li>
Experience in utilizing AI tools for development and deployment.</li></ul>
Preferred Qualifications<ul><li>
Experience with financial data and applications.</li><li>
Familiarity with specific GenAI applications in finance.</li><li>
Contributions to open-source projects related to GenAI or machine learning.</li></ul>
Technology Stack<ul><li>
Programming Languages: Python (strong proficiency required), potentially Java or Scala.</li><li>
Python Packages: Transformers, LangChain, LangGraph, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, Requests, Beautiful Soup, SQLAlchemy, and other relevant packages for data processing, web development, chatbot development, and database interaction.</li><li>
Deep Learning Frameworks: TensorFlow, PyTorch</li><li>
GenAI Libraries/Frameworks: Transformers (Hugging Face), LangChain, LangGraph</li><li>
LLMs: Llama, Gemini, GPT-4</li><li>
Vector Databases: PostgresDB</li><li>
Cloud Platforms: AWS, Azure, or GCP</li><li>
MLOps Tools: MLflow, Kubeflow</li><li>
Data Science Libraries: Pandas, NumPy, Scikit-learn</li><li>
Containerization: Docker, Kubernetes</li><li>
Version Control: Git</li><li>
Databases: SQL databases (e.g., PostgreSQL, MySQL, SQL Server) &ndash; experience with text-to-SQL is essential.</li></ul>
Location
Tampa, FL
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Tampa Florida United States
-
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Feb 27, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
96,960.00 - 145,440.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

GenAI/ML Engineer Finance Tech - Associate Vice President

<div><div>Posted Date
2/23/2026
</div><div>Description
<div>The GenAI Solutions Architect/Lead Engineer is a senior level position responsible for establishing and implementing new or revised GenAI application systems and programs in coordination with the Technology team. The overall objective of this role is to be highly hands-on with a capacity to manage the team for applications systems analysis and programming activities.
We are seeking a highly skilled and motivated GenAI Solutions Architect/Lead Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Proven real-world experience implementing GenAI solutions, particularly those involving Large Language Models (LLMs), Retrieval Augmented Generation (RAG) implementations, and chatbot development for both structured and unstructured data, is essential. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Highly Hands-on GenAI Development: Actively design, develop, and implement complex AI/ML models and algorithms, with a strong focus on Generative AI techniques (e.g., LLMs, GANs, VAEs) for financial applications. This includes hands-on coding, prototyping, and deploying GenAI solutions.</li><li>
RAG Implementation Expertise: Lead the design and implementation of Retrieval Augmented Generation (RAG) systems to enhance the accuracy and contextuality of GenAI outputs, particularly in handling financial data and domain-specific queries.</li><li>
Chatbot Development (Structured &amp; Unstructured Data): Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text). This includes leveraging GenAI for natural language understanding and generation in complex conversational flows.</li><li>
Document Processing &amp; OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.</li><li>
Dynamic SQL Generation using LLM: Develop and deploy solutions leveraging Large Language Models to dynamically generate SQL queries from natural language requests, facilitating data access and analysis from structured databases.</li><li>
Python Development &amp; Ecosystem Mastery: Utilize advanced Python programming skills to build, optimize, and deploy GenAI solutions. This includes extensive experience with relevant Python packages (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, numpy, FastAPI).</li><li>
Large Language Model (LLM) Application: Deep practical experience with various LLM architectures, fine-tuning, prompt engineering, and their application to solve complex financial challenges like natural language understanding, text generation, summarization, and question answering.</li><li>
Data Analysis &amp; Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate for data augmentation or synthetic data generation.</li><li>
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference.</li><li>
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to understand requirements, translate them into technical solutions, and incorporate GenAI possibilities into the discussion, ensuring appropriate integration of functions to meet goals.</li><li>
System Enhancements &amp; Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI components seamlessly.</li><li>
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI where it can offer innovative solutions.</li><li>
Tool &amp; Technology Evaluation: Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks, libraries, and cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).</li><li>
Documentation &amp; Monitoring: Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI implementations. Manage and monitor the performance, efficiency, and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.</li><li>
Mentorship &amp; Leadership: Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary and fostering a culture of innovation and continuous learning in GenAI.</li><li>
Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, especially concerning responsible AI and GenAI ethics.</li></ul>
Qualifications:<ul><li>
Experience: 10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions.
</li><li>Technical Proficiency:<ul><li>
Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development.</li><li>
Proven mastery of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies.</li><li>
Hands-on experience with Retrieval Augmented Generation (RAG) implementations, including vector databases (e.g., Pinecone, FAISS, ChromaDB), embedding models, and efficient retrieval mechanisms.</li><li>
Strong experience in chatbot development, particularly in building conversational AI systems that interact with both structured and unstructured data sources.</li><li>
Experience with document processing, information extraction, and OCR technologies for integrating unstructured data into GenAI workflows.</li><li>
Proficiency in leveraging LLMs for dynamic SQL generation and natural language to code tasks.</li><li>
Proficiency with key Python AI/ML libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, and numpy.</li><li>
Experience with MLOps practices, version control (Git), and collaborative development environments.</li></ul></li><li>
Project Management: Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework.</li><li>
Subject Matter Expertise: Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred.</li><li>
Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li>
Communication: Consistently demonstrates clear and concise written and verbal communication, capable of articulating complex technical concepts to both technical and non-technical stakeholders.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree/University degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent experience.</li><li>
Master&rsquo;s degree or Ph.D. preferred, especially with a focus on Artificial Intelligence, Machine Learning, or Natural Language Processing.</li></ul>
We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Design, develop, and implement AI/ML models and algorithms, including exploring and applying GenAI techniques, for financial applications.</li><li>
Analyze large datasets, identify patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate.</li><li>
Build and maintain data pipelines for data ingestion, processing, and transformation, considering the specific requirements of GenAI models.</li><li>
Collaborate with business stakeholders to understand requirements and translate them into technical solutions, incorporating GenAI possibilities into the discussion.</li><li>
Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks and libraries.</li><li>
Develop and maintain documentation for AI/ML models and systems, specifically addressing GenAI implementations.</li><li>
Manage and monitor the performance of deployed AI/ML models, including evaluating the effectiveness and efficiency of GenAI components.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Tampa Florida United States
-
Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Feb 27, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
113,840.00 - 170,760.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

GenAI Solutions Architect Lead Engineer - Vice President

LTIMindtree

<div>Role description 
Title: Java Full Stack - AI Engineer

Location: Tampa, FL

Join our pioneering team as a Full Stack AI Engineer and be at the forefront of building the next generation of intelligent AI powered products that redefine user experiences and solve complex business challenges This pivotal role empowers you to own the entire solution stack from intuitive frontend interfaces to robust backend infrastructure and cutting edge agentic AI systems You will play a critical role in designing developing and deploying high impact AI driven solutions driving engineering excellence and influencing our software architecture Were seeking a passionate problem solver who thrives in a collaborative agile environment dedicated to crafting innovative solutions and contributing to vibrant technical community.

Key Responsibilities
<ul><li> Pioneer Full Stack AI Application Development Design develop and deploy transformative end-to-end applications leveraging modern web frameworks React Next.js Fast API, Python Java with Large Language Models LLMs at their core</li></ul>
<ul><li> Architect Agentic AI Systems Lead the design and implementation of sophisticated autonomous agents capable of multistep reasoning planning and dynamic task execution using frameworks like LangChain LangGraph or AutoGen</li></ul>
<ul><li> Innovate RAG Pipeline Design Architect and optimize production grade Retrieval Augmented Generation RAG pipelines focusing on advanced embedding strategies efficient vector database management Pinecone Milvus Chroma and superior retrieval performance</li></ul>
<ul><li> Build Scalable Backend API Integrations Develop highly performant asynchronous backend services that seamlessly integrate LLMs external APIs and tools ensuring exceptional reliability and ultralow latency</li></ul>
<ul><li> Optimize Data Database Management Strategically manage structured and unstructured data overseeing both traditional SQL NoSQL databases and advanced vector databases to enable context aware and intelligent AI systems</li></ul>
<ul><li> Champion Engineering Excellence Agile Delivery Drive best practices in code quality unit testing CICD and security Act as a strong contributor within an Agile software delivery team collaborating to achieve sprint goals and actively participating in the broader technical community and Agile Scrum processes</li></ul>

Required Qualifications:
<ul><li> 5 years of progressive professional software engineering experience with a minimum of 2 years dedicated to building and deploying Ai powered solutions</li></ul>
<ul><li> Expert proficiency in Python Java or Typescript JavaScript coupled with a profound understanding of Data Structures and Object Oriented Principles</li></ul>
<ul><li> Extensive hands on experience with Large Language Models LLMs eg OpenAI GPT Anthropic Claude Gemini Llama including finetuning techniques and advanced prompt engineering</li></ul>
<ul><li> Proven expertise in designing and implementing RAG architectures encompassing embedding strategies vector stores and semantic search</li></ul>
<ul><li> Deep experience with microservices designing and implementing RESTful, Graph QL, APIs and practical application of containerization technologies Docker, Kubernetes, OpenShift</li></ul>
<ul><li> Demonstrated experience with modern web stacks React Next.js Tailwind CSS JavaScript TypeScript etc</li></ul>
<ul><li> Practical experience with Agentic frameworks LangChain, LangGraph, AutoGen Crew AI etc including designing implementing and orchestrating multiagent systems</li></ul>
<ul><li> Solid understanding and practical application of frameworks such as Spring Boot Fast API Express etc</li></ul>
<ul><li> Significant experience working within agile and iterative software delivery methodologies SAFe SCRUM Kanban</li></ul>
<ul><li> Proficiency in various database technologies including advanced SQL and vector databases Oracle PostgreSQL MongoDB Aurora Pinecone pg vector etc</li></ul>
<ul><li> Experience with event driven design and architecture eg: SQS SNS Kinesis Kafka Spark Flink RabbitMQ</li></ul>
<ul><li> BTech BE Eng degree or equivalent work experience</li></ul>
<ul><li> Preferred Qualifications</li></ul>
<ul><li> Experience in designing and implementing complex multiagent collaboration architectures</li></ul>
<ul><li> Familiarity with AI driven development tools eg: Cursor Claude Copilot to enhance productivity</li></ul>
<ul><li> Proven architectural experience in building horizontally scalable highly available highly resilient and low latency applications</li></ul>
<ul><li> Experience with both on premise and public cloud infrastructure eg: OpenShift AWS including Infrastructure as Code tools eg: Terraform CloudFormation</li></ul>
<ul><li> Knowledge of Security Observability and Monitoring tools eg: Grafana Prometheus Splunk ELK CloudWatch</li></ul>
<ul><li> Prior experience mentoring and providing technical leadership to teams of 5 or more developers</li></ul>
<ul><li> Familiarity with Job Schedulers eg Apache Workflow Autosys CloudWatch</li></ul> 
Skills 
Mandatory Skills : AI/GenAI Research, Java, React, Spring 
Other details 
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $79,851.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Java Full Stack AI Engineer (Senior Software Engineer)

<div>Role description 
Title: Full Stack Developer &ndash; React

Location: Tampa, FL

Job Description:
We are looking for experienced full stack software engineers who are passionate about solving business problems through innovation and engineering practices This role will be responsible for writing code pairing with other developers as appropriate decomposing acceptance criteria to understand team backlog deliverables complexities and risk while working as a strong contributor on an agile team From a technical standpoint the Software Engineer has full stack coding and implementation responsibilities and adheres to best practice principles including modern cloud based software development agile and scrum code quality and tool usage The Software Engineer works to understand and influence software architecture while contributing to technical user base

Responsibilities
<ul><li> Apply depth of knowledge and expertise to all aspects of the software development lifecycle as well as partner continuously with stakeholders on a regular basis</li></ul>
<ul><li> Develop and engineer solutions within an Agile software delivery team working to collaboratively deliver sprint goals write code and participate in the broader Citi technical community and team level Agile and Scrum processes</li></ul>
<ul><li> Contribute to the design documentation and development of worldclass enterprise applications leveraging the latest technologies and software design patterns</li></ul>
<ul><li> Leverage technical knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues as necessary</li></ul>
<ul><li> Follow and contribute to defining technical and team standards</li></ul>
<ul><li> Collaborate technical leadership to achieve established goals in line with our broader technical strategy</li></ul>
<ul><li> AIDriven Development Leverage AI tools such as GitHub Copilot to enhance development efficiency accelerate delivery timelines and optimize software solutions</li></ul>
<ul><li> AI Landscape Awareness Maintain awareness of the rapidly evolving AI landscape and proactively propose innovative approaches to implement product features</li></ul>
<ul><li> Problem Solving and Troubleshooting Possess the expertise to analyze and effectively troubleshoot complex coding application performance and design challenges</li></ul>
<ul><li> Root Cause Analysis Capable of conducting thorough research to identify the root causes of development and performance issues as well as devising and implementing effective defect resolutions</li></ul>
<ul><li> Technical Acumen Demonstrate a profound understanding of the technical requirements pertinent to the solutions under development</li></ul>
<ul><li> Containerization and Orchestration Utilize Docker for application containerization and Kubernetes for efficient service orchestration</li></ul>
<ul><li> Communication and Risk Management Effectively communicate progress proactively anticipate bottlenecks provide skilled escalation management and adeptly identify assess track and mitigate issues and risks across various levels</li></ul>
<ul><li> Process Optimization Streamline automate or eliminate redundant processes within architecture build delivery production operations or business areas where similar efforts or issues recur annually</li></ul>

Requirements
<ul><li> Extensive Experience Minimum of 8 years of proven software development experience specializing in Java JavaScript framework like React Spring Boot and Oracle</li></ul>
<ul><li> Modern Application Development</li></ul>
<ul><li> In depth knowledge of modern application architecture principles</li></ul>
<ul><li> Clear understanding of Data Structures and Object-Oriented Principles using Java</li></ul>
<ul><li> Practical experience with Artificial Intelligence AI tools for enhancing development workflows</li></ul>
<ul><li> Proficiency in Microservices frameworks eg Spring Boot Event Driven Services and Cloud Native Application Development</li></ul>
<ul><li> Multiple years of experience on Service Oriented and Microservices architectures including REST and Graph QL implementations</li></ul>
<ul><li> Full Stack Proficiency Demonstrated ability to design develop and maintain both frontend and backend components of robust web applications</li></ul>
<ul><li> Front-end Development Strong expertise in developing intuitive user interfaces using contemporary JavaScript frameworks eg React HTML5 and CSS</li></ul>
<ul><li> Backend Development Solid experience in developing server side logic and APIs using languages such as Java Python or similar</li></ul>
<ul><li> Database Expertise Comprehensive knowledge of SQL and PLSQL with a deep understanding of Relational Database Management Systems RDBMS particularly Oracle</li></ul>
<ul><li> API Development Proven capability in designing developing and implementing high performance RESTful APIs leveraging appropriate frameworks and technologies</li></ul>
<ul><li> CICD and DevOps</li></ul>
<ul><li> Proficiency with Continuous Integration Continuous Deployment CICD pipelines and tools for building eg Maven Gradle and deploying code eg Docker Jenkins OpenShift.</li></ul>
<ul><li> Experience with AWS is considered a significant advantage</li></ul>
<ul><li> Agile Methodologies Practical experience working within Agile development methodologies and utilizing project management tools such as JIRA</li></ul> 
Skills 
Mandatory Skills : Java, React 
Other details 
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $83,912.00 to $128,080.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Full Stack Developer – React (Specialist - Software Engineering)

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