ai engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; AI Engineer (Islamabad Candidates Only)</h1>
Job Title: AI Engineer 
Job Grade: Manager 
Division: Information Technology 
Department: IT Development 
Location: Islamabad (On-site) 
Line Manager: Senior Software Engineer / AI Engineering Lead 
 
Note : Please read the JD carefully before Applying<h2 class="jobSectionHeader"> 
Position Summary</h2>
The AI Engineer will be responsible for designing, developing, and deploying AI-powered applications and intelligent systems that integrate seamlessly with Android, iOS, and web platforms. This role focuses on applied machine learning, automation, and data-driven enhancements to elevate customer experience and operational efficiency. The ideal candidate will possess strong proficiency in mobile development, backend engineering with Python, and web technologies, with the ability to build, test, and scale AI-driven solutions.<h2 class="jobSectionHeader"> 
Duties and Responsibilities</h2><ul><li>
Design, develop, and maintain AI-driven functionalities for mobile (Android/iOS) and web platforms.</li><li>
Collaborate with mobile, backend, UX/UI, product, and data teams to integrate AI modules such as recommendation engines, chatbots, fraud detection, and personalization systems.</li><li>
Develop machine learning models, perform data preprocessing, and deploy models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Write modular, maintainable, and scalable code using industry best practices (SOLID, Clean Architecture).</li><li>
Build APIs and microservices for AI features using Flask/FastAPI or Node.js.</li><li>
Work closely with UX/UI and product counterparts to translate data insights into intelligent user experiences.</li><li>
Conduct A/B tests, performance optimization, and real-world validation of AI models.</li><li>
Integrate AI components with cloud platforms such as AWS, GCP, or Azure, ensuring compliance with security and governance standards.</li><li>
Participate actively in code reviews, knowledge-sharing sessions, and agile ceremonies.</li><li>
Stay updated with emerging AI, ML, and GenAI tools, recommending innovative solutions for Easypaisa&rsquo;s digital products.</li><li>
Demonstrate Behaviors&mdash;Be Respectful, Keep Promises, Always Explore, Create Together&mdash;across all work activities.</li></ul><h2 class="jobSectionHeader"> 
Knowledge and Experience</h2><h3 class="jobSectionHeader">
Education:</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><h3 class="jobSectionHeader">
Experience:</h3><ul><li>
Minimum 4+ years in software development with hands-on exposure to AI/ML projects.</li><li>
Proven experience with Android/iOS development, Python, and modern web technologies</li></ul><h2 class="jobSectionHeader"> 
Behavioral Skills:</h2><ul><li>
Effective Communication</li><li>
Teamwork &amp; Collaboration</li><li>
Decision Making</li><li>
Accountability</li><li>
Learning Agility</li><li>
Analytical Problem Solving</li><li>
Innovation &amp; Creativity</li></ul><h2 class="jobSectionHeader"> 
Technical Competencies:</h2><ul><li>
AI/ML Development: Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Programming: Python, Swift, Kotlin, JavaScript/TypeScript</li><li>
Cloud &amp; DevOps: AWS/GCP, Docker, CI/CD</li><li>
Version Control: Git</li><li>
Data Engineering: Pandas, NumPy, SQL, data pipeline development</li><li>
Mobile &amp; Web Development: Android Studio, Xcode, React/Next.js, Flutter (optional)</li><li>
Backend &amp; APIs: REST, GraphQL, Flask/FastAPI, Node.js</li><li>
Security &amp; Compliance: Secure coding, data privacy frameworks</li></ul>
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AI Engineer

ING Türkiye

<div>
 
 We are building a new
 
 AI for Tech Chapter
 
 focused on developing internal AI agents, automation workflows, and an AI orchestration platform that will support the productivity of our engineers across the organization.
 
 
 
 
 
 We are looking for an
 
 AI Engineer (Junior/Mid)
 
 who is passionate about building with LLMs, learning new technologies, and experimenting with modern agentic AI architectures.
 
 
 
 
 
 
 
 
 
 What you will do;
 
 
 
 
 
 
 
 Build and prototype AI agents
 
 - Develop internal AI agents and automations for engineering workflows including SDLC processes, documentation generation, and code analysis, etc.
 
 <ul>
 <li>
 Work with LLM APIs (OpenAI, Azure OpenAI, etc.) and orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen&hellip;)
 </li>
 <li>
 Collaborate on RAG pipelines, vector databases, evaluation workflows, and platform components
 </li>
 <li>
 Integrate agents with internal systems (ServiceNow, Azure DevOps, observability tools, etc.)
 </li>
 <li>
 Research new AI tools, frameworks, and agent patterns &mdash; and present findings to the team
 </li>
 </ul>
 
 
 Develop backend services
 
 - Write clean Python code for APIs, workflow logic, and agent orchestration while learning software engineering fundamentals from the team
 
 
 
 Build quality and reliability practices
 
 - Help establish monitoring, logging, testing, and observability standards for production AI systems
 
 
 
 Document and share knowledge
 
 - Contribute to internal documentation, technical playbooks, and best practices that help the team scale
 
 
 
 
 
 
 What we are looking for;
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
 
 </li>
 <li>
 
 Strong academic foundation in Machine Learning, NLP, or Generative AI
 
 through coursework, thesis, or research projects
 </li>
 <li>
 
 Up-to-date with latest AI/ML research and trends
 
 - you actively read papers and follow developments in LLMs, agents, RAG, and emerging techniques
 </li>
 <li>
 
 Demonstrated ML/GenAI project experience
 
 through university research, thesis, internships, hackathons, or personal GitHub repositories
 </li>
 <li>
 
 Solid software development fundamentals programming skills
 
 with ability to write clean, functional code (Python preferred, but Java/Go/.NET acceptable)
 </li>
 <li>
 Familiarity with at least one of these is a plus:
 </li>
 <li>
 &bull; Vector databases (Pinecone, Chroma, Weaviate...)
 </li>
 <li>
 &bull; LangChain / LlamaIndex / AutoGen / CrewAI
 </li>
 <li>
 &bull; Prompt engineering, RAG, embeddings
 
 
 </li>
 <li>
 
 Basic hands-on experience with LLMs
 
 - you've experimented with OpenAI, Claude, or similar APIs and understand prompt engineering
 </li>
 <li>
 
 Ability to read academic papers
 
 and translate research concepts into practical code implementations
 </li>
 <li>
 
 Fast learner
 
 with strong problem-solving abilities and eagerness to master production engineering practices
 </li>
 <li>
 
 Excellent communication skills
 
 - can explain complex AI concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 
 Collaborative mindset
 
 - comfortable learning from senior engineers and contributing fresh perspectives from academia
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 
 Software engineering fundamentals
 
 : CI/CD, Git, APIs, Docker, or backend development basics
 </li>
 <li>
 
 Agent framework exposure
 
 (LangChain, LlamaIndex, CrewAI) or RAG/vector database experimentation
 </li>
 <li>
 
 Master's thesis or research publications
 
 in LLMs, NLP, Generative AI, or related ML areas
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
 
 
</div>

Suffolk Construction

<div>Overview:

About Suffolk<div><div>
Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.</div></div><div></div><div><div> 
Suffolk &ndash; America&rsquo;s Contractor &ndash; is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR&rsquo;s list of &ldquo;Top CM-at-Risk Contractors.&rdquo; For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.</div></div><div></div><div><div> 
At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That&rsquo;s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.</div></div><div></div><div><div> 
Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, click here.</div></div><div> 
Role</div><div>
Join Suffolk&rsquo;s AI Studio in Boston as a core engineer transforming how AI powers construction management. Partnering with Product Managers, Site AI Engineers and Data Engineers, you&rsquo;ll solve pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. You&rsquo;ll focus on building secure, scalable, and high-performance AI agents using modern technologies including AWS Bedrock, and Databricks &mdash; shaping the backbone of Suffolk&rsquo;s &ldquo;Construction Site of the Future.&rdquo;</div><div></div><div> 
The AI Engineer (AI Studio) builds the foundation that enables jobsite AI to scale. You&rsquo;ll focus on technical excellence, platform reliability, and scalable agent frameworks, enabling field teams to transform how construction projects are executed.</div>
Responsibilities:
<div>
AI Product Engineering &amp; Deployment</div><ul><li>
Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.</li><li>
Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search.</li><li>
Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency.</li><li>
Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows.</li><li>
Own full lifecycle delivery &mdash; design, development, testing, deployment, monitoring, and maintenance.</li></ul><div>
Full-Stack &amp; Backend Development</div><ul><li>
Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs.</li><li>
Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.).</li><li>
Develop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints.</li></ul><div>
Data Engineering &amp; Integration</div><ul><li>
Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse.</li><li>
Ensure efficient data access, caching, and vectorization for low-latency AI response.</li><li>
Build tools to monitor and improve data quality, latency, and observability.</li></ul><div>
DevOps &amp; Platform Automation</div><ul><li>
Use Terraform, AWS CDK, and GitHub Actions to automate infrastructure and deployments.</li><li>
Implement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning.</li><li>
Enforce security, governance, and access standards in line with enterprise policies.</li></ul><div>
Collaboration &amp; Communication</div><ul><li>
Work closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints.</li><li>
Communicate technical progress clearly to non-technical stakeholders; contribute to internal AI playbooks and templates.</li></ul>
Qualifications:
<ul><li>4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar). Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases.</li><li>
Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS.</li><li>
Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions</li><li>
Experience training, retraining and performing transfer learning on ML models desirable.</li><li>
Bachelor&rsquo;s in Computer Science, Engineering, Physics, or a related field; Master&rsquo;s preferred.</li><li>
Prior hands-on work in construction or heavy process industries (manufacturing, oil &amp; gas, chemicals) is a significant plus.</li><li>
Excellent collaboration and communication skills &mdash; able to work cross-functionally but not dependent on business-side facilitation.</li><li>
Integration &amp; ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.</li></ul><div>
#LI-JG1</div>
Working Conditions:
<div>
While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.</div>
EEO Statement:
<div>
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.</div>
Compensation Information:
<div>
The expected salary range for this position (AI Engineer) in Boston, MA is between $114,000 and $160,000 USD. This represents the typical salary range for this position and is just one component of Suffolk&rsquo;s total compensation package for employees. Actual salaries may be based on several factors including, but not limited to, an employee&rsquo;s/ candidate's skill set, experience, education and other qualifications, including budgetary objectives. Suffolk offers a comprehensive benefits package as part of its overall compensation strategy. Salary ranges may differ by geography and are reviewed regularly to reflect market trends.</div></div>

Flexilant works pvt Ltd

Role: Data &amp; AI EngineerWe are seeking a talented and detail-oriented Data &amp; AI Engineer to develop and deploy cutting-edge artificial intelligence solutions focused on regulatory compliance. You will play a critical role in leveraging Large Language Models (LLMs) and AWS Bedrock to transform how we manage and interpret critical regulatory data. You should possess excellent communication and collaboration skills, working in a fast-paced agile development environment.Key ResponsibilitiesAI Solution Development: Design, develop, and deploy AI solutions, specifically utilizing AWS Bedrock and other LLMs, to achieve regulatory compliance and enhance data insights.Data Preparation &amp; Embedding: Develop advanced parsing and chunking strategies to handle diverse data sources (Files, APIs, Newsletters, Email Lists, Web pages). Implement processes to embed documents into vector databases efficiently.Vector Database Management: Manage and maintain vector databases, including adding and utilizing custom metadata to optimize retrieval and relevance.RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) systems, focusing on continuous prompt engineering and experimentation to maximize output quality and accuracy.System Integration: Integrate AI/ML studios and various LLM APIs into our core platform infrastructure and software development workflow.MLOps and Optimization: Monitor and continuously optimize RAG model performance. Manage and experiment with MLOps workflows using Amazon SageMaker.Data Storage &amp; Governance: Design and implement robust data storage solutions for sensitive regulatory data, ensuring data integrity, security, availability, and scalability.Required Skills and QualificationsMinimum 5 years of industry experience in software development, with significant time spent in cloud infrastructure and DevOps areas.AI/LLM Expertise: Proven experience developing and deploying solutions using Large Language Models (LLMs) and platforms like AWS Bedrock.RAG Proficiency: Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) systems.Programming Languages: Strong proficiency in Python is essential. Experience with JS and data processing using PySpark is highly desirable.Vector Databases: Direct experience with administering and utilizing Vector Databases such as Qdrant or OpenSearch.Data Management: Expertise in SQL for data querying and management.Tools: Familiarity with Jupyter Notebooks for development and experimentation.MLOps: Experience with MLOps tools and methodologies.AI Development Studios: Experience using the latest AI-assisted software development IDEs like Cursor, GitHub Copilot, etc.Job Type: Full-timePay: &#8377;1,500,000.00 - &#8377;2,000,000.00 per yearWork Location: In person

Netscape labs

Job Title: AI Engineer / NLP &amp; LLM Integration Specialist Experience Required: 2&ndash;4 yearsAbout the RoleWe are seeking a highly motivated AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&amp;A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures.This is a hands-on, research-to-deployment role. You will play a key part in shaping the product&rsquo;s intelligence and language capabilities &mdash; from designing conversation flows to building semantic search systems and custom logic engines.Key Responsibilities<ul><li>Design and implement AI-driven chatbots and Q&amp;A systems using NLP and LLMs.</li><li>Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models.</li><li>Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases.</li><li>Build and integrate information retrieval and semantic search features.</li><li>Apply intent classification, category detection, and dialogue management techniques.</li><li>Deploy and optimize backend services that serve AI responses through APIs.</li><li>Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations.</li><li>(Optional) Integrate or build astrology-based models or rule-based prediction engines.</li></ul>Required Skills<ul><li>Strong experience in Natural Language Processing (NLP).</li><li>Familiarity with LLM integration, prompt engineering, and RAG architectures.</li><li>Practical knowledge of Machine Learning / Deep Learning.</li><li>Strong programming skills in Python.</li><li>Experience working with structured and unstructured data (CSV, JSON, Excel).</li><li>Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems).</li><li>Understanding of information retrieval, semantic search, and vector embeddings.</li><li>Ability to write clean, production-ready code and deploy services using Flask/FastAPI.</li><li>Solid understanding of user intent classification and conversational flow design.</li></ul>Preferred Qualifications<ul><li>Experience building chatbots, virtual assistants, or AI-driven user interfaces.</li><li>Prior exposure to astrology or rule-based prediction engines (a plus but not required).</li><li>Familiarity with knowledge graphs or domain-specific ontologies.</li><li>Hands-on experience with vector stores (e.g., Pinecone, FAISS, Weaviate) and embedding techniques.</li><li>Ability to work independently and communicate ideas clearly and effectively.</li></ul>Job Type: Full-timePay: &#8377;15,000.00 - &#8377;60,000.00 per monthBenefits:<ul><li>Paid sick time</li></ul>Experience:<ul><li>AI: 1 year (Preferred)</li></ul>Location:<ul><li>Mohali, Punjab (Preferred)</li></ul>Work Location: In person

i- Pangram Digital Services LLP

We are currently hiring a highly skilled and motivated AI Engineer to join our talented engineering team. As a AI Engineer , you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services.Responsibilities<ul><li>Develop and deploy machine learning models and algorithms.</li><li>Collaborate with cross-functional teams to identify and solve business problems using machine learning techniques.</li><li>Develop and implement cutting-edge AI/ML models and algorithms to solve complex business problems.</li><li>Design and train machine learning models using state-of-the-art techniques and frameworks such as TensorFlow, PyTorch, or scikit-learn.</li><li>Stay updated with the latest advancements and research in the field of AI/ML, and apply them to enhance existing models or develop new approaches.</li><li>Designing, developing, and implementing generative AI models and algorithms utilizing stateofthe-art techniques such as GPT, VAE, and GANs.</li><li>Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.</li><li>Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.</li><li>Optimizing existing generative AI models for improved performance, scalability, and efficiency.</li><li>Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.</li><li>Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.</li><li>Contributing to the establishment of best practices and standards for generative AI development within the organization.</li></ul>Requirements<ul><li>Must have 0-2 years of experience in AI/ML</li><li>You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.</li><li>You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.</li><li>You have strong knowledge of data structures, algorithms, and software engineering principles.</li><li>You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.</li><li>You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.</li><li>You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.</li><li>You have knowledge of software development methodologies, such as Agile or Scrum.</li><li>You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.</li><li>You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.</li><li>You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.</li><li>In-depth knowledge of JavaScript, React JS, etc.</li></ul>Job Type: Full-timePay: &#8377;15,000.00 - &#8377;20,000.00 per monthBenefits:<ul><li>Leave encashment</li><li>Provident Fund</li></ul>Work Location: In person

Digixvalley LLC

We are looking for a passionate and proactive Junior AI Engineer &ndash; Conversational AI &amp; RAG Systems with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to building intelligent conversational systems, RAG pipelines, and AI-powered customer service automation. You will assist in developing chatbots, managing vector databases, integrating LLMs, and optimizing real-time AI responses.Key Responsibilities:<ul><li>Assist in the development, testing, and deployment of AI chatbots using local and cloud-based LLMs.</li><li>Support in building RAG (Retrieval-Augmented Generation) systems, including vector search and semantic retrieval.</li><li>Work with Qdrant and embedding models to manage collections, vectors, and similarity search.</li><li>Help develop FastAPI endpoints for AI services and WhatsApp/other messaging integrations.</li><li>Participate in processing training data, embeddings, and conversation history pipelines.</li><li>Implement and refine LLM-based intent detection, response ranking, and fallback systems.</li><li>Collaborate on model optimization, prompt tuning, and improving response accuracy.</li><li>Assist in deploying real-time AI systems for customer service automation.</li><li>Contribute to knowledge base creation, FAQ structuring, and dynamic response generation.</li><li>Write clean, maintainable, and well-documented code for AI modules.</li><li>Stay updated on conversational AI, RAG methodologies, LLM improvements, and vector database innovations.</li><li>Support integrating AI services into cloud environments and multi-tenant architectures.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>0.5 &ndash; 2 years of experience working on AI/ML or chatbot projects.</li><li>Hands-on experience with LLMs (OpenAI, Ollama, Hugging Face) and prompt engineering.</li><li>Understanding of vector databases such as Qdrant, Pinecone, or ChromaDB.</li><li>Experience working with embedding models, semantic search, or RAG pipelines.</li><li>Proficiency in Python, especially FastAPI, async workflows, and API development.</li><li>Familiarity with supervised/unsupervised ML concepts and evaluation techniques.</li><li>Understanding of REST APIs, Git, and version control workflows.</li><li>Good analytical, debugging, and problem-solving skills.</li><li>Ability to work in a collaborative, fast-paced engineering environment.</li><li>Exposure to cloud platforms (AWS/GCP/Azure) for deploying AI applications.</li><li>Basic understanding of MLOps, retraining pipelines, or model monitoring.</li></ul>Job Type: Full-timeWork Location: In person

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