Location: <ANY> | Experience: 5+ years 
Role Overview
We’re 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). You’ll 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.
•    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. 

#GenAINTT

________________________________________
RESUME 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