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: GenAI Engineer
Location: Addison, TX (Hybrid role 3 days/week from day1)
Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.
Job Description
:Role Summary
:We are seeking a highly skilled GenAI Engineer to design build and operationalize next generation AI solutions leveraging Large Language Models LLMs AI agents Retrieval Augmented 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 Responsibilities
:GenAI LLM Engineerin
gDesign develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LLM
sBuild LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflow
sImplement and optimize agent frameworks LangChain LlamaIndex Semantic Kernel AutoGen CrewAI et
cEngineer robust prompting strategies memory mechanisms and toolaugmented reasonin
gRAG Knowledge System
sDesign and implement Retrieval Augmented Generation RAG architecture
sBuild embedding pipelines using vector databases FAISS Pinecone Weaviate Azure AI Search Chrom
aOptimize document ingestion chunking strategies metadata management and rerankin
gEnsure accuracy relevance and performance of AIgenerated response
sMachine Learning Model Integratio
nApply practical ML concepts including classification clustering ranking and similarity search where applicabl
eIntegrate traditional ML models with LLMbased systems for hybrid AI solution
sEvaluate finetune and test models using appropriate performance metric
sData Engineering Pipeline
sDevelop and maintain data pipelines for structured and unstructured data using Python and SQ
LWork with large datasets APIs and streamingbatch processing framework
sEnsure data quality lineage observability and governance within AI workflow
sMLOps CICD Productionizatio
nBuild CICD pipelines for AI and ML workloads including model versioning and automated testin
gDeploy AI services in containerized environments Docker Kubernete
sImplement monitoring for model performance drift latency and cos
tEnsure security access control and compliance for AI system
sCloud Platform Engineerin
gDesign and deploy AI solutions on cloud platforms such as AWS Azure or GC
PLeverage managed AIML services serverless components and scalable infrastructur
eOptimize cost performance and reliability of AI workload
sCollaboration Stakeholder Engagemen
tPartner with product platform and business teams to translate requirements into AI solution
sDocument architectures design decisions and operational runbook
sProvide guidance on GenAI best practices risks and responsible AI usag
eRequired Skills Experience
:Core Technical Skills
:Strong proficiency in Python and working knowledge of SQ
LSolid foundation in AIML concepts with Handson experience deploying model
sProven experience with LLMs AI agents and agent framework
sHandson expertise with RAG architectures and vector database
sExperience implementing CICD pipelines for AI or ML system
sStrong understanding of data pipelines and distributed data processin
gExperience working on at least one major cloud platform AWS Azure or GC
PPreferred Good to Have
:Experience finetuning LLMs LoRA PEFT RLHF concept
sFamiliarity with evaluation frameworks for GenAI hallucination testing grounding latency benchmark
sExposure to governance security and compliance considerations for enterprise A
IBackground in domains such as BFSI healthcare or regulated industrie
sEducation
:Bachelor’s or master’s degree in computer science engineering data science or a related field or equivalent practical experienc
eWhat Success Looks Lik
eScalable reliable GenAI solutions deployed to productio
nWell architected AI agents delivering measurable business valu
eHigh-quality explainable and maintainable AI system
sStrong collaboration across engineering data and business team
sSkill
sMandatory Skills: GenAI - LLMOps, LLMOp
s
LTIMindtr ee is an equal opportunity employer that is committed to diversity in the workplace. xsgimln 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 la