Senior AI Developer | Onsite - Noida, India | Open to India-based candidates only

About this role

Not quite right? These jobs in Noida match the same skills — apply to a few to improve your chances.

Business Analyst - Assistant Manager - Noida - SMB

Paytm Payments

In OfficeNoida

Apply

Business Development Associate

Pregrad

In OfficeNoida

Apply

B2B Sr. Sales Associate

10times

In OfficeNoida

Apply

Product Manager

Workspend

In OfficeNoida

Apply

Skills you'll use

What you'll do

• Own the end-to-end architecture of agentic and RAG systems on Azure — retrieval pipelines, agent workflows, prompt systems, and the APIs that serve them — and set the technical direction other engineers build against.
• Define and enforce evaluation standards for AI features across the team: what "good" looks like, how it's measured, and when something is genuinely ready to ship, not just working in a demo.
• Develop and oversee skills inference and proficiency models that turn evidence into skill scores enterprise customers can trust, including how that trust is established and defended under scrutiny.
• Set data engineering standards in Microsoft Fabric, including how customer data from HR, learning, and job systems is sourced, cleaned, and governed so downstream AI pipelines can rely on it.
• Make production tradeoffs on latency, cost, and reliability, and own the MLOps loop: versioning, monitoring, and retraining, at a standard other engineers are expected to follow.
• Deploy on Azure with clean APIs, containers, and CI/CD as a baseline, and make the architecture calls (build vs. buy, framework vs. custom orchestration) that less senior engineers shouldn't be making alone.
• Mentor and review the work of other engineers on the team, raising the rigor of evaluation discipline, responsible AI practice, and production readiness across the board.
• Work daily with product and engineering peers to shape what gets built, explain tradeoffs clearly to both technical and non-technical stakeholders, and document decisions that others will rely on.
• Practice responsible AI as a first-class engineering discipline: fairness, transparency, and explainability are requirements you're accountable for defending, not just implementing.
• What We're Looking For

Who can apply

• Practice responsible AI as a first-class engineering discipline: fairness, transparency, and explainability are requirements you're accountable for defending, not just implementing.
• A substantial engineering career — typically 6–8+ years in software, ML, or AI engineering — that demonstrates independent judgment and the ability to own ambiguous, high-stakes problems without close supervision.
• Deep, hands-on, enterprise-grade experience architecting agentic systems: RAG, tool calling, multi-agent orchestration, and the vector search and retrieval infrastructure behind them, built and operated under real enterprise constraints (security, compliance, multi-tenant data, SLAs) — not personal or academic projects alone.
• Strong Python and the modern AI stack: fluent with PyTorch or TensorFlow, Hugging Face, scikit-learn, Pandas, and NumPy, at a level where you're reviewing others' code, not just writing your own.
• Direct experience with the Microsoft AI stack (Azure AI Foundry, Azure OpenAI, Microsoft Agent Framework, Microsoft Fabric) is a real advantage. Deep, verifiable experience with equivalent enterprise platforms (e.g., AWS Bedrock, GCP Vertex AI) plus a credible plan for closing the Microsoft-stack gap quickly is also acceptable.
• An evaluation mindset you can install in a team, not just apply to your own work: you've built evaluation harnesses, defined metrics, and made the case — with data — for what should and shouldn't ship.
• MLOps and deployment fluency: Docker, Kubernetes, CI/CD, and operating models on Azure at a standard you'd hold a team to.
• Software engineering fundamentals strong enough to mentor from: Git, testing, API design, and the patience to debug problems in large, messy, real-world datasets.

About INFOPRO LEARNING

Searching for “INFOPRO LEARNING jobs” or “jobs at INFOPRO LEARNING”? You’re in the right place.