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.