Senior AI Developer | Onsite - Noida, India | Open to India-based candidates only
Infopro Learning6 days ago
Noida, IndiaSenior
Responsibilities
- Own the end-to-end architecture of agentic and RAG systems on Azure, including retrieval pipelines, agent workflows, prompt systems, and APIs.
- Define evaluation standards, metrics, evaluation harnesses, and production-readiness criteria for AI features.
- Develop and oversee skills inference and proficiency models that convert evidence into trusted enterprise skill scores.
- Set data engineering standards in Microsoft Fabric for sourcing, cleaning, and governing customer data from HR, learning, and job systems.
- Own MLOps practices including versioning, monitoring, retraining, and production tradeoffs involving latency, cost, and reliability.
- Deploy AI systems on Azure using APIs, containers, and CI/CD, and make build-versus-buy and orchestration architecture decisions.
- Mentor and review engineers while raising standards for evaluation, responsible AI, and production readiness.
- Collaborate with product and engineering peers, document technical decisions, and communicate tradeoffs to technical and non-technical stakeholders.
- Defend fairness, transparency, and explainability as core responsible AI requirements.
Requirements
- Typically 6–8+ years of experience in software, ML, or AI engineering.
- Hands-on enterprise experience architecting and operating agentic systems involving RAG, tool calling, multi-agent orchestration, vector search, and retrieval infrastructure.
- Strong Python skills and fluency with PyTorch or TensorFlow, Hugging Face, scikit-learn, Pandas, and NumPy.
- Experience with Microsoft AI technologies including Azure AI Foundry, Azure OpenAI, Microsoft Agent Framework, and Microsoft Fabric, or equivalent enterprise experience with AWS Bedrock or GCP Vertex AI plus a plan to transition to the Microsoft stack.
- Experience building evaluation harnesses, defining metrics, and using evaluation data to determine what should ship.
- Fluency with MLOps and deployment technologies including Docker, Kubernetes, CI/CD, and Azure operations.
- Strong software engineering fundamentals including Git, testing, API design, and debugging large real-world datasets.
- Experience owning a production AI or ML system over time, including its reliability, failures, and evolution for real users.
- Daily use of AI coding tools with the ability to teach others to use them rigorously.
- Senior-level communication skills and the ability to defend technical decisions with executives and non-technical stakeholders.
- Preferred experience fine-tuning or adapting open-weight models and knowledge of classical ML, NLP, statistics, and optimization.
- Preferred experience in HR technology, learning, talent, or other domains affecting people-related decisions.
- Preferred experience mentoring engineers, setting technical standards, and operating AI systems under HIPAA, SOC 2, GDPR, or similar compliance frameworks.
Benefits
- Full-time onsite work from the office in Noida, India; open only to India-based candidates.
- Ownership of the AI core architecture for a product already used by enterprise customers.
- Opportunity to work with a frontier technology stack and influence tool and architecture choices.
- Opportunity to gain domain expertise in skills and talent through live enterprise customers.
- Clear path toward staff or principal AI engineering as the team scales, with influence over team development.
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