Req ID: 341179 We are currently seeking a Senior GenAI Engineers to join our team in Bangalore, Karntaka (IN-KA), India (IN). Location: | Experience: 5+ yearsRole OverviewWere hiring an AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers ( Azure, AWS, GCP ). Youll develop the full lifecycle data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.Key Responsibilities
Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
Implement chunking, hybrid search, vector stores, re-ranking , feedback loops, and continuous data quality/eval.
Apply prompt-engineering techniques to specific use cases and types
Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
Should have good understanding of DevOps
Should have good understanding of LLM evaluation
Should have deployed min of 2 models in production (MLOps)
Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability .
Unit testing of GenAI Solutions built and documentation of results.
Collaborate with clients/Stakeholders from multiple Geographies .
Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Qualifications
Bachelors/Masters Degree or equivalent.
5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
Experience delivering end-to-end GenAI based solutions.
Required Skills
Strong Python experience to build multiple AI-ML/ GenAI Solutions.
Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen .
Strong experience working on SQL Query , Vector DB like Pinecone, Qdrant, Fiaas
Should have experience working on hybrid search and re-rankers
Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
Experience working on NLP, CV, Deep Learning Algorithms
Should have working experience with Open-Source Models
Experience on UI/UX will be added advantage.
#GenAINTTRESUME SELECTION Guidelines:
Delivered at least 2 GenAI/Agentic AI solutions for clients
Extensive experience of minimum 5 + years on Python
Delivered 3 5 successful client POCs/MVPs
#GenAINTT
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full time