Principal Engineer – Knowledge Management | Bangalore

We are looking for an exceptional Principal Engineer – Knowledge Management with 13 years of overall technology experience and a strong hands-on engineering background in Python, AI/ML, Generative AI, Agentic AI, and Enterprise Knowledge Platforms.

This is an exciting opportunity for a technology leader who combines deep software engineering expertise with hands-on experience in building scalable, enterprise-grade platforms and AI-powered knowledge solutions.

What We're Looking For:

? Strong Python Engineering (Must Have)

- 13 years of overall IT experience with extensive hands-on Python development.
- Robust experience building enterprise-grade, scalable, multi-tenant platforms and applications.
- Expertise in API development, microservices, data pipelines, and cloud-native engineering.

? AI, GenAI & Agentic AI

- Hands-on experience in AI/ML, Generative AI, LLM integration, and Agentic AI.
- Strong understanding of RAG, GraphRAG, vector databases, retrieval optimization, and AI orchestration.
- Experience with agent frameworks, LLM gateways, AI guardrails, and evaluation frameworks.

? Knowledge Graphs & Semantic Engineering

- Strong experience in Knowledge Graph development and Ontology Engineering.
- Expertise in semantic modelling, taxonomy design, metadata management, and knowledge enrichment.
- Familiarity with RDF, OWL, SKOS, SPARQL, Neo4j,



or Amazon Neptune.
- Experience transforming unstructured enterprise data into structured, reusable knowledge assets.

? Enterprise Platform Development

- Experience designing and developing scalable, multi-tenant platforms.
- Strong understanding of enterprise architecture, APIs, integrations, security, observability, and governance.
- Experience with Knowledge Management platforms or Data Platforms, including Data Products and Snowflake, will be an added advantage.

? Technical Leadership

- Ability to drive architecture and engineering decisions while remaining deeply hands-on with coding.
- Experience establishing engineering standards, conducting code reviews, and mentoring senior engineers.
- Strong stakeholder management and collaboration skills.

Preferred Background / Target Organizations:

We would particularly like to connect with professionals from organizations and teams working in:

1. Platform Engineering: Developers building multi-tenant enterprise applications and platforms using Python.
2. Knowledge Management Platforms: Engineers working on enterprise knowledge platforms, semantic technologies, ontology, and knowledge graph solutions.
3. Data Platform Engineering: Engineers building data platforms, data products, and scalable data solutions using Python and Snowflake.

📌 Principal Software Engineer (Python, Knowledge Graph, Ontology, Taxonomy) (Bengaluru)
🏢 Mancer Consulting Services
📍 Bengaluru