Senior Specialist - Data Sciences

Role description

GenAI RAG Developer Open Source Stack

GenAI Application Developer with deep experience building RAG pipelines opensource LLM applications LangChainLangGraph orchestration and enterprise scale full stack applications This role builds GenAI capabilities using modern opensource tools and frameworks

Key Responsibilities

Design and implement full end to end RAG pipelines ingestion chunking embeddings retrieval ranking

Build scalable AI workflows using LangChain LangGraph and agentbased architectures

Develop backend services and APIs in Python ensuring scalability security and maintainability

Create fullstack UIs for GenAI applications React Angular Vue etc

Integrate and optimize vector databases Pinecone ChromaDB Weaviate Milvus

Implement Microsoft Copilot integrations across enterprise workflows and apps

Build evaluation frameworks observability pipelines and quality guardrails using tools such as RAGAS LangSmith or custom evaluation metrics

Implement enterprise authentication and access OAuth Azure AD Okta

Optimize model performance inference latency indexing strategies and retrieval accuracy

Ensure proper DevOps Docker Kubernetes CICD and release management for all AI components

Collaborate with crossfunctional teams to drive AI adoption and ensure scalable maintainable solutions

Provide longterm support model updates error handling and operational governance

Required Skills Qualifications

Strong handson experience building AILLMpowered systems endtoend

Expertise with LangChain and LangGraph

Deep proficiency in Python for AI pipelines APIs and orchestration

Strong understanding of embeddings chunking retrieval architectures and ranking strategies

Experience with opensource LLMs Llama Mistral Falcon Mixtral etc

Experience deploying fullstack enterprise applications

Experience with vector database design and optimization

Handson experience integrating solutions with Microsoft Copilot

Strong knowledge of Kubernetes Docker CICD microservices and cloud deployment patterns

Experience with AI evaluation observability and model governance

Strong communication and collaboration skills

Preferred Qualifications

Knowledge of testing frameworks pytest automated regression for RAG datasetdriven tests

Experience with distributed RAG architectures or GPU optimization

Contributions to opensource AI frameworks are a plus

Other details

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision


• Short Term and Long-Term Disability Coverage


• 401(k) Plan with Company match


• Life Insurance


• Vacation Time, Sick Leave, Paid Holidays


• Paid Paternity and Maternity Leave

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.