Senior AI Developer | Onsite - Noida, India | Open to India-based candidates only
Infopro Learning (company site, opens in a new tab)6+ yrsNoidaOn-siteDirect career pageEst. 25–40 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end architecture of agentic and retrieval augmented generation (RAG) AI systems on Azure, including data pipelines, agent workflows, prompt systems, and APIs.
- Define and enforce evaluation standards, production-readiness, reliability, security, compliance, and MLOps for AI features impacting live enterprise customers' career decisions.
- Mentor engineers, collaborate with product teams, and ensure responsible AI practices (fairness, transparency, explainability) are embedded in the AI platform.
Minimum Requirements
- 6–8+ years of experience in software, ML, or AI engineering with independent judgment on high-stakes problems.
- Deep enterprise-grade experience architecting RAG, multi-agent orchestration, vector search, and retrieval systems under real constraints (security, compliance, multi-tenant).
- Strong proficiency with Python and modern AI stack (PyTorch/TensorFlow, Hugging Face, scikit-learn, Pandas, NumPy).
- Must be India-based, able to work onsite full-time in Noida.
Ideal Candidate Profile
- Experienced architect and technical owner of production AI/ML systems accountable for system reliability and evolution at enterprise scale.
- Demonstrates evaluation mindset by establishing metrics, evaluation harnesses, and shipping standards across teams.
- Fluent with MLOps (Docker, Kubernetes, CI/CD) on Azure and capable of communicating complex technical tradeoffs to non-technical stakeholders.