Principal Engineer, AI Research

Ovii's Interpretation of the Role

The Principal Engineer, AI Research will set the technical direction for AI initiatives, turning research hypotheses into production‑grade, auditable systems for regulated enterprises. Partnering with the CTO and cross‑functional leaders, you will ensure AI outputs meet strict determinism, compliance, and reliability standards.

Role Snapshot

• Define AI research vision and agenda
• Architect prototype pipelines and production hand‑offs
• Set standards for ontology, knowledge extraction, and auditability
• Engage with banking partners and regulators
• Publish research and influence AI strategy
• Build reliable, deterministic AI services

Must-Have Requirements

• Python
• Deep learning frameworks
• LLMs
• Generative AI
• Retrieval‑augmented generation
• Deterministic inference
• Ontology design
• Entity resolution
• Knowledge extraction
• Schema evolution
• Model serving
• Data pipelines
• Auditable AI
• Explainable AI
• Recoverable AI
• Research publications
• AI research from hypothesis to production
• Regulated enterprise environments

Work Setup

• Location: Bengaluru, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Create research agendas that target high‑impact, deterministic AI behavior under stress
• Design and benchmark prototype pipelines against enterprise reliability criteria
• Define cross‑team standards for ontology, entity resolution, and auditability of regulated data
• Represent the company in technical discussions with banking partners and regulators
• Build production‑grade validation frameworks for determinism, hallucination mitigation, and latency
• Engineer end‑to‑end hand‑off processes moving prototypes into the core platform
• Shape AI strategy through whitepapers, conference talks, and internal knowledge bases
• Develop real‑time observability dashboards for AI reliability signals

Good Fit If You Have

• Proven AI research experience from hypothesis to production in high‑trust, regulated settings
• Strong communication skills for engineers, product leaders, customers, and regulators
• Track record of publishing AI reliability or safety research
• Ability to balance ambitious research with production constraints