Java FSD Gen AI

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.

A little about us...

Role : Java FSD-Gen AI

Location : Addison TX/Charlotte NC/Jersey City NJ (Hybrid role 3 days/week from day1)

Job Description

:Role Summar

yWe are seeking a highly skilled GenAI Engineer to design build and operationalize nextgeneration AI solutions leveraging Large Language Models LLMs AI agents RetrievalAugmented Generation RAG architectures and scalable cloud platforms This role requires strong handson expertise across AI concepts model integration data pipelines and MLOpsCICD with the ability to translate business problems into production grade AI system

s
Key Responsibilitie

s:GenAI LLM Engineeri

ngDesign develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LL

MsBuild LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflo

wsImplement and optimize agent frameworks LangChain LlamaIndex Semantic Kernel AutoGen CrewAI e

tcEngineer robust prompting strategies memory mechanisms and toolaugmented reasoni

ngRAG Knowledge Syste

msDesign and implement RetrievalAugmented Generation RAG architectur

esBuild embedding pipelines using vector databases FAISS Pinecone Weaviate Azure AI Search Chro

maOptimize document ingestion chunking strategies metadata management and reranki

ngEnsure accuracy relevance and performance of AIgenerated respons

esMachine Learning Model Integrati

onApply practical ML concepts including classification clustering ranking and similarity search where applicab

leIntegrate traditional ML models with LLMbased systems for hybrid AI solutio

nsEvaluate finetune and test models using appropriate performance metri

csData Engineering Pipelin

esDevelop and maintain data pipelines for structured and unstructured data using Python and S

QLWork with large datasets APIs and streamingbatch processing framewor

ksEnsure data quality lineage observability and governance within AI workflo

wsMLOps CICD Productionizati

onBuild CICD pipelines for AI and ML workloads including model versioning and automated testi

ngDeploy AI services in containerized environments Docker Kubernet

esImplement monitoring for model performance drift latency and co

stEnsure security access control and compliance for AI syste

msCloud Platform Engineeri

ngDesign and deploy AI solutions on cloud platforms such as AWS Azure or G

CPLeverage managed AIML services serverless components and scalable infrastructu

reOptimize cost performance and reliability of AI workloa

dsCollaboration Stakeholder Engageme

ntPartner with product platform and business teams to translate requirements into AI solutio

nsDocument architectures design decisions and operational runboo

ksProvide guidance on GenAI best practices risks and responsible AI usa

ge
Required Skills Experie

nceCore Technical Ski

llsStrong proficiency in Python and working knowledge of

SQLSolid foundation in AIML concepts with handson experience deploying mod

elsProven experience with LLMs AI agents and agent framewo

rksHandson expertise with RAG architectures and vector databa

sesExperience implementing CICD pipelines for AI or ML syst

emsStrong understanding of data pipelines and distributed data process

ingExperience working on at least one major cloud platform AWS Azure or

GCPPreferred Good to H

aveExperience finetuning LLMs LoRA PEFT RLHF conce

ptsFamiliarity with evaluation frameworks for GenAI hallucination testing grounding latency benchma

rksExposure to governance security and compliance considerations for enterprise

AIBackground in domains such as BFSI healthcare or regulated industr

ies
LTIMind tree 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