Mid level GenAI Engineers

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.. Select/integrate/finetune LLMs & multimodal models.

. 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

. Bachelor's/Master's 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.