junior ai engineer

Kumaran Systems

<div>
 
 
 Job Description &ndash; AI/ML Engineer Job Title: AI/ML Engineer
 
 
 
 
 Experience: 1&ndash;2 Years
 
 
 
 
 Location: Chennai
 
 
 
 
 Employment Type: Full-Time
 
 
 
 
 
 
 
 Job Summary
 
 
 
 We are looking for a motivated AI/ML Engineer with 1&ndash;2 years of experience to join our technology team in Chennai. The ideal candidate should have strong programming skills in Python and hands-on experience in Generative AI. The candidate will work on developing, integrating, and deploying AI/ML solutions and contribute to real-world GenAI initiatives.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and implement AI/ML solutions using Python.
 </li>
 <li>
 Work on Generative AI applications, including LLM-based solutions.
 </li>
 <li>
 Develop and integrate AI models and APIs into business applications.
 </li>
 <li>
 Work with LLMs, prompt engineering, embeddings, and vector databases.
 </li>
 <li>
 Build and test AI/ML models and evaluate their performance.
 </li>
 <li>
 Assist in developing RAG (Retrieval-Augmented Generation) based applications.
 </li>
 <li>
 Perform data preprocessing, feature engineering, model evaluation, and optimization.
 </li>
 <li>
 Collaborate with software engineers, data engineers, and business stakeholders to integrate AI solutions.
 </li>
 <li>
 Debug, test, and optimize AI/ML applications for performance and reliability. Stay updated with the latest developments in Generative AI, LLMs, and AI/ML technologies.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills
 
 
 <ul>
 <li>
 1&ndash;2 years of professional experience in AI/ML Engineering or a related role.
 </li>
 <li>
 Strong hands-on programming experience in Python.
 </li>
 <li>
 Mandatory hands-on experience in Generative AI.
 </li>
 <li>
 Good understanding of Large Language Models (LLMs).
 </li>
 <li>
 Experience with Prompt Engineering. Understanding of RAG architecture and applications.
 </li>
 <li>
 Knowledge of AI/ML concepts, algorithms, and model evaluation.
 </li>
 <li>
 Experience working with REST APIs and integrating AI models into applications.
 </li>
 <li>
 Good problem-solving and analytical skills
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Open AI, Azure OpenAI, Gemini, Claude, or similar LLM platforms.
 </li>
 <li>
 Experience with LangChain or LlamaIndex. Knowledge of vector databases such as FAISS, Pinecone, Chroma, or Weaviate. Exposure to Hugging Face and open-source LLMs.
 </li>
 <li>
 Basic knowledge of Docker, Git, and cloud platforms such as AWS/Azure/GCP.
 </li>
 <li>
 Exposure to AI Agents, fine-tuning, embeddings, or MLOps.
 </li>
 </ul>
 
 
</div>

Junior AI Engineer

Infosys

<div>
 Python programming (strong fundamentals, OOP, writing APIs, debugging). Hands-on experience building GenAI/LLM solutions: RAG / embeddings / vector DB / prompt engineering. Experience with FastAPI or Flask (building and serving APIs). Understanding of LLM application lifecycle (prompting, evaluation, versioning, deployment basics). Knowledge of at least one cloud platform: AWS or Azure. Basic understanding of Git, code reviews, and deployment workflows.
 
 
 ✅ Key Responsibilities GenAI / LLM Engineering Build LLM-powered applications (chatbots, copilots, summarization, knowledge assistants) using OpenAI/Azure OpenAI/Anthropic/Gemini or open-source LLMs. Implement RAG pipelines: data ingestion &rarr; chunking &rarr; embeddings &rarr; vector search &rarr; prompt assembly &rarr; response generation. Improve response quality using prompt engineering, retrieval tuning (hybrid search, metadata filters), and basic RAG evaluation practices. ML Engineering (non-platform) Develop and deploy ML components (classification, NLP, forecasting) using scikit-learn / PyTorch / TensorFlow as needed. Package AI/LLM solutions into production-grade services using FastAPI/Flask. Write clean, reusable Python modules and follow engineering best practices (testing, logging, code quality). Deployment &amp; Operations (LLMOps exposure) Support deployment to cloud environments: AWS (SageMaker/ECS/Lambda) or Azure (Azure ML/AKS/App Services). Implement basic observability: logs, error handling, latency tracking, token usage tracking (where applicable). Assist in quality, safety, and governance practices: PII redaction, content filtering, prompt-injection mitigation, secure access controls.
 
 
 Vector databases: Pinecone / Qdrant / Chroma / Weaviate / FAISS. Frameworks: LangChain / LangGraph / LlamaIndex / Semantic Kernel. Evaluation tools: RAGAS / TruLens / DeepEval, prompt testing frameworks. Containerization: Docker (Kubernetes is optional). CI/CD exposure: GitHub Actions / Azure DevOps / Jenkins. Data pipelines: Airflow / Prefect / Databricks. Safety tooling: Presidio, content safety filters, access control patterns.
</div>

Chubb Insurance

<div>About Chubb
Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com .
About Chubb India
At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work&reg; for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.
With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
Position Details:
<ul><li>Function/Department : Advanced Analytics
</li><li>Location : Bangalore, India
</li><li>Employment Type: Full-time
</li><li>Role Overview &ndash; AI Engineer 
</li></ul>The Data Analytics team at Chubb is seeking a AI Engineer with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for delivering generative AI solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.
As an AI Engineer for Data Analytics focusing on Generative AI capabilities, you will develop solutions to complex business problems which combine industry standard practices with innovation. You will focus on building pipelines and designing architecture to facilitate generative AI capabilities. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet analytic challenges head-on as you develop and refine generative AI data processes for Chubb
Responsibilities:
<ul><li>Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process.
</li><li>Work closely with team of data scientists to implement and test machine learning models to solve complex business challenges on Azure platform.
</li><li>Research &amp; implement state of the art modelling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
</li><li>Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
</li><li>Integrate with data / document sources using APIs and / or data pipelines.
</li><li>Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.
</li><li>Effectively communicate with key stakeholders in written, oral and presentation formats.</li></ul></div>
 <div><ul><li>3+ years&rsquo; experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
</li><li>Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
</li><li>Experience with designing scalable end-to-end Machine Learning/NLP systems.
</li><li>Experience on distributed, high throughput and low latency architecture.
</li><li>Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
</li><li>Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
</li><li>Familiarity with Continuous Integration tools such as Jenkins.
</li><li>Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.
</li><li>Ability to multi-task, learn new things quickly, and have excellent problem solving &amp; communication skills.
</li><li>A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends.
</li><li>Appetite for learning and keeping up to date on the latest generative AI technologies and processes
</li></ul>Preferred:
<ul><li>Comfortable with command line (Linux, Windows) scripting.
</li><li>Familiarity with Prompt Engineering
</li><li>Familiarity with generative AI techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other generative models.
</li></ul>Nice to have:
<ul><li>Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++).
</li><li>Exposure to technologies such as DBT, Apache AirFlow or Luigi.
</li><li>Working knowledge of containers, specifically Dockerizing APIs.
</li><li>Exposure to CI-CD pipelines.
</li><li>Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).
</li></ul>Education
<ul><li>Bachelor&rsquo;s / Master&rsquo;s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).
</li></ul>We look forward to welcoming an experienced Software Engineer who is ready to tackle exciting challenges and contribute to our innovative projects. If you meet the qualifications and are passionate about development and Support, we encourage you to apply
Why Chubb?
Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
<ul><li>Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
</li><li>A Great Place to work: Chubb India has been recognized as a Great Place to Work&reg; for the years 2023-2024 and 2024-2025
</li><li>Laser focus on excellence : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
</li><li>Start-Up Culture : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
</li><li>Growth and success : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience , enabling them to advance their careers in a conducive environment
</li></ul>Employee Benefits
Our company offers a comprehensive benefits package designed to support our employees&rsquo; health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
<ul><li>Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
</li><li>Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
</li><li>Health and Welfare Benefits: We care about our employees&rsquo; well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
 </li></ul>Join Us
With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion , and are ready to make a difference, we invite you to be part of Chubb India&rsquo;s journey .
Apply Now : Chubb India Career page</div>

Junior AI/ML Engineer

NCR Atleos

<div>About NCR Atleos
NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.
Title: Junior Software Engineer (x2)
Location: Dundee (hybrid)
Grade: 9
We have 2x Junior Software Engineer opportunities within our Triage and Data Science teams:
Junior Software Engineer (Triage)
Key Areas of Responsibility<ul><li>
Support, develop, and maintain enterprise Triage systems used to process and enrich service requests.</li><li>
Collaborate with business stakeholders, product owners, and engineering teams to understand requirements and deliver software solutions.</li><li>
Develop, test, and troubleshoot application features to improve automation, data validation, and workflow efficiency.</li><li>
Support the implementation of cloud-based workflows, serverless functions, and integration services where applicable.</li><li>
Work with REST APIs, databases, and enterprise systems to enable seamless integration and data exchange.</li><li>
Contribute to CI/CD processes, source control management, and automated testing activities.</li><li>
Create and maintain technical documentation, support procedures, and knowledge articles to aid long-term maintainability.</li><li>
Learn and apply software engineering best practices related to security, scalability, performance, and operational excellence.</li><li>
Participate in application modernization initiatives and support the adoption of emerging cloud and software technologies.</li></ul>
Essential Qualifications<ul><li>
Minimum bachelor&rsquo;s Level Degree in Computer Science, Engineering, or related field.</li><li>
Experience with cloud platforms, preferably Microsoft Azure, and an understanding of cloud-native technologies.</li><li>
Experience with relational databases and NoSQL.</li><li>
Familiarity with source control systems such as Git and collaborative development practices.</li><li>
Understanding of software development lifecycle (SDLC) methodologies and Agile development practices.</li></ul>
Desirable Qualifications<ul><li>
Exposure to Microsoft Azure services such as Azure Functions, Logic Apps, App Services, Storage Accounts, or API Management.</li><li>
Experience working with RESTful APIs and JSON/XML data formats.</li><li>
Knowledge of CI/CD tools and practices, such as Azure DevOps or GitHub Actions.</li><li>
Exposure to AI-assisted development tools, automation, or modern software engineering practices.</li></ul>
Junior Software Engineer (Data Science)
Key Areas of Responsibility<ul><li>
Design, develop, and maintain scalable ETL/ELT processes to ingest, transform, and integrate data from multiple internal and external sources.</li><li>
Contribute to data pipeline modernization and migration projects, ensuring seamless transition, data integrity, and minimal business disruption.</li><li>
Analyse large and complex datasets to identify trends, patterns, and actionable business insights.</li><li>
Develop, train, evaluate, and deploy machine learning/deep learning models to support predictive analytics and automation initiatives.</li><li>
Explore and implement Generative AI and Large Language Model (LLM) solutions to improve business processes and decision-making.</li><li>
Implement CI/CD pipelines, automated testing, and DevOps best practices to ensure reliable and efficient deployments.</li><li>
Support, enhance, and modernize Triage systems by leveraging AI, machine learning, and cloud-native technologies to improve automation, scalability, and operational efficiency.</li><li>
Collaborate with business stakeholders, product owners, and engineering teams to understand requirements and deliver software solutions.</li><li>
Develop, test, and troubleshoot application features to improve automation, data validation, and workflow efficiency.</li></ul>
Essential Qualifications<ul><li>
Bachelor&rsquo;s degree in data science/AI, computer science, Engineering, or a related discipline.</li><li>
Experience with AI/ML libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, Keras, or similar technologies.</li><li>
Understanding of Generative AI and Large Language Models (LLMs), including prompt engineering, model fine-tuning, and enterprise AI applications.</li><li>
Experience with relational databases and NoSQL.</li><li>
Familiarity with source control systems such as Git and collaborative development practices.</li><li>
Understanding of software development lifecycle (SDLC) methodologies and Agile development practices.</li></ul>
Desirable Qualifications<ul><li>
Good foundation in statistics, data structures, and problem-solving.</li><li>
Experience with LLMs, prompt engineering, vector search, and RAG frameworks.</li><li>
Exposure to AI-assisted development tools, automation, or modern software engineering practices.</li></ul>
Offers of employment are conditional upon passage of screening criteria applicable to the job.
EEO Statement 
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. 
Statement to Third Party Agencies
To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.</div>

Junior Software Engineer

Ocho

<div>
 
 
 Lead AI Engineer | Belfast (Remote-First) | AI Centre of Excellence
 
 
 
 
 
 
 
 At a Glance
 
 
 <ul>
 <li>
 Sits within a dedicated AI Centre of Excellence
 </li>
 <li>
 Stack: Azure, Python, React, Terraform
 </li>
 <li>
 Northern Ireland &ndash; Remote working
 </li>
 </ul>
 
 
 
 
 
 About the Company
 
 
 
 A large, well-established global technology company with a dedicated AI Centre of Excellence &mdash; a team set apart from its core consulting and digital services divisions, focused purely on applied research and product builds using the latest Microsoft AI technology.
 
 
 
 
 
 
 Role Overview
 
 
 
 You'll join a close-knit team of around 10-11 engineers (the majority in Belfast, with others in Poland, Birmingham, and London) as a Senior AI Engineer, providing technical leadership on AI-powered products and applied research work. This isn't a billable, consulting-style role &mdash; there's no utilisation target and no client delivery pressure. The team is genuinely AI-first: they're looking for strong, well-rounded engineers rather than candidates who tick every box, whether your background is more AI-shaped or more software-shaped.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Provide technical leadership and own architecture, planning, and delivery for AI-powered products and applied research projects
 </li>
 <li>
 Build and integrate AI/ML solutions &mdash; model integration, evaluation, prompt engineering, and RAG pipelines &mdash; using Azure AI services (Azure OpenAI, Microsoft Foundry, Cognitive Services)
 </li>
 <li>
 Design and develop across the full stack, from API design and data pipelines through to front-end integration
 </li>
 <li>
 Coach, mentor, and support the development of junior engineers within the team
 </li>
 <li>
 Drive modern CI/CD practice, including model versioning, experiment tracking, and automated evaluation for ML/AI workloads
 </li>
 </ul>
 
 
 
 
 
 What You'll Need
 
 
 
 
 Essential:
 
 
 <ul>
 <li>
 Strong hands-on experience in Python or C#/.NET, with real experience building AI/ML-powered products (model integration, evaluation, prompt engineering, or RAG)
 </li>
 <li>
 Technical experience &mdash; owning architecture, planning, and delivery for a product or project, with a track record of coaching and developing junior engineers
 </li>
 <li>
 Experience with Microsoft Azure AI services (Azure OpenAI Service, Microsoft Foundry, Cognitive Services) or an equivalent cloud AI platform
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Familiarity with the Microsoft agent ecosystem &mdash; Microsoft Agent Framework, Copilot Studio, Microsoft 365 Agents SDK, or Semantic Kernel
 </li>
 <li>
 Understanding of responsible AI practice &mdash; content filtering, PII handling, bias testing, governance of autonomous agent actions
 </li>
 <li>
 Experience with vector databases or search indices, and broader public cloud platforms (Azure or AWS)
 </li>
 </ul>
 
 
 
 
 
 Benefits &amp; Package
 
 
 <ul>
 <li>
 &pound; DOE
 </li>
 <li>
 Fully remote-first NI Wide &mdash; no mandatory office days, with an optional Wednesday in-office and roughly monthly full-team get-togethers
 </li>
 <li>
 Straightforward two-stage interview process &mdash; culture and skills, then a technical deep dive &mdash; no take-home assessment
 </li>
 </ul>
 
 
 
 
 Get in touch with Colin directly at colin@ochopeople.com
 
 
 
 
</div>

Lead AI Engineer

Garrett Advancing Motion

<div>We are looking for a Senior AI Software Engineer to join our AI Center of Excellence (COE) team and play a key role in executing our AI initiatives. If you have a passion for architecting, developing, and deploying sophisticated AI solutions and want to be part of an innovative team pushing the boundaries of technological possibilities, then we are looking for you!
This position involves architecting, developing, and deploying sophisticated AI-enabled solutions, leveraging advanced software development skills and a deep understanding of artificial intelligence. The Senior Software Engineer will mentor junior developers, providing technical guidance and ensuring best practices are followed. They will drive the integration of cutting-edge AI technologies into complex solutions, addressing strategic business challenges. Their expertise and leadership will significantly contribute to the innovation and technological advancement of the Garrett's AI capabilities.
Responsibilities:
<ul><li>Develop intuitive and responsive user interfaces using React.
 
Collaborate with UX/UI designers to ensure seamless and visually appealing user experiences.
 
Integrate frontend components with backend services and APIs.
</li><li>Enhance our LLM engine module using either Python or .NET Core.
 
Leverage Azure OpenAI services to enable advanced AI-driven functionalities.
</li><li>Build and maintain pipelines to synchronize data with Azure AI Search.
 
Implement secure and efficient data handling practices.
 
Utilize Kafka as a message queue for processing events and ensuring system scalability.
 
Optimize message processing for high availability and low latency.
</li><li>Collaborate with the backend team to build robust APIs.
 
Partner with React frontend developers to ensure seamless integration and user experience.
</li><li>Mentor junior developers and provide technical guidance to the team.
 
Collaborate with product managers, DevOps, and QA teams to ensure timely delivery of robust solutions.
</li></ul>Your profile:
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Software Engineering, or a related field: A solid foundational understanding of computer science principles and software engineering practices is essential.
</li><li>Master&rsquo;s Degree (preferred): Advanced education in relevant fields is a plus, demonstrating a deeper expertise and commitment to the field.
</li><li>5+ years of experience in software development.
</li><li>Expertise in React and frontend development.
</li><li>Proficiency in either Python or .NET Core for backend development.
</li><li>Experience with Kafka or similar message queue systems.
</li><li>Proven experience in AI development, particularly with Large Language Models (LLMs) and other advanced AI technologies.
</li></ul>Technical Skills:
<ul><li>Expert proficiency in .NET or Python, with a comprehensive understanding of the software development lifecycle.
</li><li>Expert proficiency in frontend framework, e.g. React or VueJS.
</li><li>Strong knowledge of AI technologies and frameworks, with extensive hands-on experience in integrating AI into software solutions.
</li><li>Deep familiarity with machine learning algorithms, data processing techniques, and model deployment strategies.
</li><li>Experience with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and agile development methodologies.
</li><li>Comprehensive experience in testing methodologies, including unit testing, integration testing, and performance testing.
</li><li>Proficiency in automated testing tools and frameworks to enhance the quality assurance process.
</li><li>Extensive experience with cloud platforms, particularly AWS, with expertise in deploying and managing applications in a cloud environment.
</li><li>Azure OpenAI, Azure AI Search experience is a plus.
</li><li>Familiarity with Microsoft Teams Bot Framework and Office 365/OneDrive APIs is a plus.
</li>Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. 
<li>
 
</li></ul>Soft Skills:
<ul><li>Excellent problem-solving abilities and analytical thinking, with a proactive approach to addressing complex challenges.
</li><li>Strong communication skills, both written and verbal, to effectively collaborate with cross-functional teams and stakeholders.
</li><li>Demonstrated leadership abilities, with experience in mentoring and guiding junior developers.</li></ul></div>
 With a legacy of over 70 years, Garrett Motion is a cutting-edge technology leader enabling emission reduction and energy efficiency. We design, manufacture and sell highly engineered turbocharging, air and fluid compression, and high-speed electric motor technologies for customers in the mobility and industrial fields.

Sr. AI Developer

The Cigna Group

Overview
 
Cigna International Health is seeking a skilled Cloud Data Engineer to architect, develop, and optimise robust AI data solutions on cloud platforms. This role is pivotal in building and maintaining the foundational AI and Data infrastructure that supports scalable, secure, and high-performance applications for our business.
 
The ideal candidate will engineer technical solutions, produce clean code, and ensure successful delivery of software solutions aligned with business goals.
 
Responsibilities
 
<ul>
<li>Technical Leadership:</li>
<li>Provide direction and be responsible for the output of Cloud and AI platform within the application development.</li>
<li>Implement AI platform strategy, ensuring that it aligns with the overall business and product objectives.</li>
<li>Own AI and Data platform stack for the solution aligned with the product vision as defined by the solution product owner.</li>
<li>Contribute to the definition of applications development policies, standards, and procedures.</li>
<li>Mentoring:</li>
<li>Lead and mentor junior software development team members, fostering a culture of innovation, automation, collaboration, and excellence.</li>
<li>Take active part in career development and performance of junior software development team members.</li>
<li>Project Delivery:</li>
<li>Execute software projects, ensuring they are delivered on time, within budget, and meet quality standards.</li>
<li>Execute project plans and application designs to ensure projects are aligned with standards and IT strategy.</li>
<li>Follow the design principles, and development best practices to ensure scalable, secure, and efficient solutions, collaborating with other senior leads.</li>
</ul>
Requirements
 
<ul>
<li>Experience:</li>
<li>5 years in software/data engineering roles, with a strong track record in cloud-native data solutions.</li>
<li>Proven expertise in AWS services (e.g., Lambda, S3, IAM, KMS, API Gateway,).</li>
<li>Hands-on experience with Terraform (or similar IaC tools) for provisioning and managing cloud infrastructure.</li>
<li>Strong data engineering skills such as Spark / AWS Glue / Databricks, including building and optimising ETL/ELT pipelines.</li>
<li>Proficiency in SQL (preferred) and Python (required for automation and data processing).</li>
<li>Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).</li>
<li>Exposure to Gen-AI development environment such as Azure AI, AWS Bedrock or GCP.</li>
<li>Experience in using AI productivity tools such as Cursor and exposure to Prompt Engineering.</li>
<li>Leadership Communication:</li>
<li>Demonstrated ability to mentor technical teams.</li>
<li>Excellent communication and collaboration skills.</li>
<li>Education:</li>
<li>Bachelor’s or Master’s degree in Computer Science, Software/Data Engineering, or a related field.</li>
<li>Desirable:</li>
<li>Experience working in regulated environments or with multi-region/multi-currency systems.</li>
<li>Familiarity with agile methodologies and iterative delivery.</li>
<li>Exposure to Jira or similar project management tools.</li>
</ul>
About The Cigna Group
 
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

Data Engineering Senior Analyst

Search 3332+ Junior ai engineer jobs near you this September. New roles added regularly across leading industries. Apply today.

3332 junior ai engineer jobs Near Me

Junior AI Engineer

Junior AI Engineer

Junior AI/ML Engineer

Junior Software Engineer

Lead AI Engineer

Sr. AI Developer

Data Engineering Senior Analyst