Specialist - Data Sciences

LTM

Houston (TX)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Medical Plan
Disability Coverage
401(k) with Match
Life Insurance
Vacation and Holidays
Parental Leave

Job summary

LTIMindtree in the United States is seeking an AI Engineer with an MS in Computer Science, specializing in LLM systems, agentic pipelines, and RAG architectures. You will work on vector embeddings, model evaluation, and production AI deployments using LangChain, LangGraph, OpenAI and Claude SDKs.

This role involves MCP orchestration and MLOps practices, with a focus on scalable ML infrastructure. Expect to collaborate across teams and contribute to end-to-end AI solutions in a fast-paced

Qualifications

  • MS in Computer Science or related field.
  • Experience deploying production AI systems.
  • Proficiency with LangChain, LangGraph, OpenAI and Claude SDKs.
  • Familiarity with MCP orchestration and MLOps practices.

Skills

LLM systems
Agentic pipelines
RAG architectures
Vector embeddings
Model evaluation
LangChain
LangGraph
OpenAI SDK
Claude SDK
MCP orchestration
MLOps

Education

MS in Computer Science

Tools

ChromaDB
FAISS
Hugging Face
Pydantic
FineTuning
MCP
MLOps
AWS
Docker

Job description

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

Summary

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

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.

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