- Unmatched Brand Legacy & Impact
- Diverse Global Exposure & Scale

About Our Client
The hiring organisation is a large organization in the financial services industry, focusing on fund management and analytics. It is well-recognised for fostering innovation and offering employees opportunities to work on cutting-edge technologies.

Job Description
- Build backend microservices, APIs, and enterprise integrations for AI and agentic apps
- Run LLMOps/SLMOps: prompt and version management, evaluation, guardrails, deployment, monitoring, and inference optimisation
- Develop AgentOps: orchestration, tool access, memory, observability, rollback, and governance
- Ship via CI/CD, containers, and cloud designed for reuse through configuration, not rewrite
- Own reliability, security, scalability, and performance across services and integrationsTech: Python, REST, microservices, event-driven architecture
- Docker, Kubernetes, CI/CD, cloud platforms such as AWS, GCP, or Azure
- PostgreSQL, MongoDB, Redis, Kafka
- Prometheus, Grafana
- RAG, vector databases,



and agent frameworks such as LangChain, LangGraph, or LlamaIndex, Fluent with AI tools for coding and data analysis such as Claude, Copilot, and Cursor.

The Successful Applicant
A Successful applicant must have :
- 5-6 years of production backend, platform, MLOps, or AI-systems engineering experience
- Strong Python and hands-on experience with REST APIs, microservices, event-driven services, and enterprise integrations
- Solid Docker, Kubernetes, CI/CD, cloud, and deployment practice
- Good grasp of MLOps and SLMOps ,model lifecycle, evaluation, monitoring, and observability
- Familiarity with agentic AI: orchestration, tool calling, prompt and version management, memory, guardrails, and human-in-the-loop workflows

Experience building at a product start-up is a strong plus: shipping from zero, owning components end to end, and moving quick with a small team is exactly the mindset we want.Bonus: AI security patterns such

📌 AI Platform Engineer || 5-8 years || Mumbai || Hybrid
🏢 Michael Page
📍 Mumbai