Senior AI/ML Engineer 

Job Description

About the Role :

Own the engineering foundation for Pepagora’s AI and Data Platform: ingestion, entity resolution, enrichment, evaluation, models, agents and knowledge-graph-enabled intelligence. The mandate includes an AI gateway, multiple named agents and production AI governance.

What You’ll Be Doing :

– Design and own production AI/ML architecture

– Build RAG/agentic workflows grounded in trusted business data

– Create evaluation frameworks for quality, safety, latency and cost

– Build entity resolution, extraction, classification and enrichment systems

– Establish model/provider gateway patterns and observability

– Mentor AI researchers/interns and turn experiments into production capabilities

Who We’re Looking For :

– Typically, 5+ years in software/data/ML with strong recent production AI ownership

– Strong software engineering plus applied ML/GenAI depth

– Production experience with LLM/RAG/agentic systems – not demos alone

– Strong Python and API/service engineering

– Understanding of evaluation, grounding, hallucination control, cost and latency trade-offs

– Ability to translate ambiguous business problems into measurable AI systems

Good to Have :

– Knowledge graphs/entity resolution

– Vector databases and retrieval systems

– MLOps/model serving

– Fine-tuning, embeddings or ranking models

– Experience with MCP/tool-using agents

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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