Senior AI/ML Engineer
First seen by Alion on Sep 14, 2026.
Pepagora India Pvt Ltd
Senior AI - ML Engineer - Job Description
BUILD INTELLIGENCE
Location : Coimbatore - Work Mode : Work from Office
We don't need another chatbot engineer.
About Pepagora :
Pepagora is trust infrastructure for global B2B growth. We operate a verification-first ecosystem that reduces trust friction, improves deal velocity, and enables SMEs to expand across borders with confidence. Our core product system - TruBadge, ESR Score, Janu AI, and OneInbox - powers signal-driven decision-making for businesses worldwide. Incorporated in Singapore, Pepagora is at a Pre-Series A stage and scaling rapidly across international markets.
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
Technology Environment :
- Python - LLM APIs/open models - RAG - agents - vector search - evaluation - FastAPI - AWS - MLOps
Skills
Python, Machine Learning, RAG, FastAPI, AWS, MLOps, Generative AI, Knowledge Graph, Artificial Intelligence, Workfront, Agentic AI