Specialist - Data Sciences

Summary

Role description

AI Engineer with an MS in Computer Science specializing in LLM systems agentic pipelines RAG architectures vector embeddings and model evaluation Experienced deploying production AI using LangChain LangGraph OpenAI and Claude SDKs MCP orchestration and MLOps practices

Technical Skills

AIML LangChain LangGraph RAG Vector Embeddings LLM Evaluation LLMasJudge OpenAI SDK Claude SDK ChromaDB FAISS Hugging Face Pydantic FineTuning MCP MLOps

Languages Frameworks Python JavaScript TypeScript Nodejs FastAPI Reactjs Spring Boot REST APIs

Tools Infra Mastra Playwright Docker CICD Git AWS EC2 S3 Lambda PostgreSQL MySQL MongoDB

Other Details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

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.