Mid level GenAI Engineers
global
Job Description
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 & multimodalmodels.
- 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.