Software Engineer - AI Research
kAIgentic (company site, opens in a new tab)BengaluruHybridDirect career pageEst. 18–30 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and deliver AI systems that convert enterprise process knowledge and data into a governed, evidence-backed process ontology.
- Build and maintain end-to-end pipelines for document ingestion, knowledge graph construction, retrieval engineering, and multi-agent orchestration frameworks.
- Collaborate with product and research teams to define evaluation criteria and ensure continuous learning and improvement of AI-driven enterprise workflows.
Minimum Requirements
- Proven experience delivering production-grade AI solutions in Python with strong typing, testing, and async pipeline design.
- Deep expertise with large language model prompting, schema-driven extraction, retrieval techniques (dense embeddings, hybrid search, reranking).
- Experience with property graph databases (e.g., Neo4j), entity resolution, GraphRAG pipelines, and multi-agent orchestration frameworks (e.g., LangGraph, OpenAI Agents SDK).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Technical expert in AI-native software development focused on large-scale enterprise infrastructure for regulated environments.
- Comfortable balancing ambitious research goals with product constraints and collaborating across product, engineering, and senior leadership.
- Experienced in building governed, secure, evidence-backed AI systems operating at the intersection of enterprise knowledge management and automation.