Gen AI Engineer

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: Charlotte, NC (Hybrid role 3 days/week from day1) 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. 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 w. Show more Show less