Mid level GenAI Engineers

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.