Senior Software Engineer, AI Research

Overview

Own the design and production delivery of AI research systems that transform enterprise process knowledge into governed, provenance-rich ontologies and evidence-backed outputs.

What you'll do

• Design and implement knowledge-graph schemas with hierarchy, provenance, versioning, and extensibility.
• Build grounded-extraction pipelines linking claims to source evidence and epistemic status.
• Develop multi-context inference harnesses managing memory, budgets, and compaction.
• Build consolidation and knowledge-distillation workflows across documents, interviews, logs, and external data.
• Apply SFT, DPO, and RFT in model adaptation loops.
• Build learning-loop, RL-environment, curriculum, and reward components.
• Deliver retrieval-generation and evaluation frameworks meeting quality, latency, cost, and grounding requirements.

What you'll need

• At least 4 years of relevant industry experience in research.
• PhD in Artificial Intelligence, Computer Science, or a related field.
• Deep expertise in Python, PyTorch, and large-scale model fine-tuning.
• Expertise in graph databases, ontology engineering, schema design, versioning, and provenance.
• Experience with RL environments, curriculum design, and reward modeling.
• Ability to conduct applied-research experiments with ablation studies and statistical validation.

Details

• Location: Bengaluru, India.