Gen AI Engineer

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

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, 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