Save Job Back to Search Job Description Summary Similar JobsUnmatched Brand Legacy & ImpactDiverse Global Exposure & ScaleAbout Our ClientThe 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 ApplicantA 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 workflowsExperience building at a product start-up is a strong plus: shipping from zero, owning components end to end, and moving fast with a small team is exactly the mindset we want.Bonus: AI security patterns such as authentication, authorization, role-based access control, API gateways, and agent sandboxing · exposure to industrial AI, IoT, digital twins, or knowledge graphs as a plusEducation: Bachelor's or master's in computer science, Engineering, Data Science from Tier 1 or 2 InstituteWhat's on OfferCompetitive salary package within industry standards.Opportunity to work on transformative AI projects in the financial services sector.Comprehensive holiday leave and employee benefits.Supportive work environment fostering professional growth.Permanent role based in Mumbai, offering stability and career progression.If you are passionate about AI and eager to make an impact in fund management, apply now to take the next step in your career!Quote job refJN-072026-7060915Job summaryFunctionInformation TechnologySub SectorIT DevelopmentWhat is your area of specialisation?Technology & TelecomsLocationMumbaiJob TypePermanentJob ReferenceJN-072026-7060915