The next part of your journey is right around the corner — with Standard India A genuine desire to make a difference in the lives of others is the foundation for everything we do.

With a customer-first mindset and an intentional focus on building strong teams across the nation, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture, focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?

AI/ML Platform Engineer III Job Summary The Standard is seeking an AI/ML Platform Engineer III to build the shared agent runtime, the MCP/tool and agent-to-agent registries, orchestration and sandboxed agent execution environments on our Data & AI Platform.

In this role, you will turn agent building from a per-team adventure into a governed, self-service golden path. You will also help operate the LLMOps platform including AI Gateway GPU inference environments — running NVIDIA NIM microservices and open-source serving frameworks under patterns set by senior engineers. Your initial assignment is the Agent Harness & AI / MCP Gateway task forces; you will also be the primary owner for embeddings, vector indexing, retrieval quality and semantic search on the Enterprise Memory task force.

This role sits on The Standard's Data & AI Platform team, which owns the enterprise's shared data and AI foundation — governed once and consumed by many — built on Azure Databricks, Neo4j, Confluent Kafka, Kong, and Anthropic and OpenAI models behind a governed gateway.

- Ability to work on-site in Bengaluru, India is a requirement of the role. *

Mode of Working: This role follows a hybrid work model, with a primary base in Bengaluru. While on-site presence is essential for key engagements, flexibility is offered for remote work based on business needs and team alignment.

Key Responsibilities

- Build and operate the shared agent runtime: planning loops, memory, tool calling and agent-to-agent coordination.
- Stand up and operate the MCP/tool registry, AI Gateway — a governed catalog of MCP servers and tools with scoped permissions — and A2A coordination surfaces.
- Implement workflow and agent-step orchestration with retries, timeouts and human-in-the-loop checkpoints.




- Build retrieval-augmented generation patterns for agent context: embeddings, vector indexing, semantic search and retrieval quality evaluation.
- Deploy and operate open-source model serving frameworks (vLLM, SGLang) and NVIDIA NIM microservices on the platform's GPU environments, following patterns established.
- Run day-to-day GPU serving operations: deployments, rollbacks, scaling and utilization/cost monitoring, escalating tuning and capacity decisions to senior engineers.
- Provision sandboxed agent execution environments with DevOps and security engineering.
- Wire guardrails enforcement and observability — traces, token usage, outcome logging — into agent flows by default.
- Build evaluation and regression testing for agentic behaviors.
- Contribute to the agent build-and-deploy golden path: templates, SDK examples and documentation.

Skills And Background You’ll Need Education: B.Tech / B.E. in Software Engineering, Computer Science or Information Systems is required.

Experience

- 6+ years of software engineering experience with strong Python is required.
- Hands-on experience building LLM applications or agents with frameworks such as LangGraph, LangChain or LlamaIndex.
- Working knowledge of the Model Context Protocol (MCP): building or integrating MCP servers and clients through Gateway for governed access.
- Function/tool calling, structured outputs and prompt engineering experience against Anthropic and/or OpenAI APIs.
- Retrieval-augmented generation experience: embeddings, chunking, vector search and hybrid retrieval.
- Exposure to model serving with at least one framework such as vLLM, SGLang or NVIDIA NIM.
- Containers and CI/CD fundamentals (Docker, Kubernetes basics, Git workflows).
- A disciplined testing habit, including evals for agent behavior

Preferred Experience

- Kubernetes GPU workload basics (GPU Operator, device plugins) or experience on NVIDIA GPU environments, including Grace Blackwell-class (GB200/GB300) systems or NVIDIA Dynamo.
- Agent-to-agent (A2A) protocols and multi-agent system design.
- Neo4j or GraphRAG retrieval experience.




- LLM observability tooling (Langfuse, Phoenix) and evaluation frameworks (RAGAS).
- TypeScript for SDK and tooling work; workflow engines (Temporal or equivalent).
- Good to have Azure AI Engineer or equivalent cloud AI certification

Key Behaviors Of a Successful Candidate

- Adaptability — Seeks information to understand the rationale for and importance of the change.
- Customer Focus — Displays an interest in the customer by trying to understand their concerns and issues; draws on customer insight to help others best meet current and future customer needs.
- Improvement Mindset — Demonstrates curiosity by asking questions regarding current approaches/methods and identifying potential changes.

Why Join Standard India? We Have Built An Enduring Legacy Of Stability, Financial Strength And Exceptional Customer Service Through The Contributions Of The Service-oriented People Who Choose To Work At The Standard. To Ensure We Can Attract And Retain The Best Talent, When You Join StanCorp Global Servicesyou Can Expect

- A rich advantages package that supports your health, well-being, and financial goals
- An annual incentive bonus plan tied to both individual and organizational performance
- Paid time off including earned leave, sick/casual leave, and public holidays, in accordance with the company’s leave policy
- A supportive, responsive management approach that empowers you to grow
- Opportunities for career advancement through learning, coaching, and leadership enablement
- A culture where your voice matters - your ideas shape our future, and we win as one
- Purpose-driven work that makes a difference for our customers, communities, and each other

In addition to a competitive salary, our employee-focused benefits are designed to support work-life balance, personal growth, and long-term impact. Eligibility to participate in an incentive program is subject to the rules governing the program and plan. Any award depends on a variety of factors including individual and organizational performance. StanCorp Global Services India Private Limited is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, religion, colour, sex, gender identity, sexual orientation, age, disability, caste, HIV status or any other characteristic protected by applicable laws of India.

📌 AI/ML Platform Engineer III (Bangalore East)
🏢 The Standard India
📍 Bangalore East