AIML ENGINEER

AIML ENGINEER

5-8

Bengaluru, Chennai

Full-Time

Role Overview

Builds and enhances AI-enabled features within AI Launchpad - model integration, prompt/workflow design and evaluation - and works with the AI Agent Marketplace POD to keep Launchpad AI features compatible with the Agent Marketplaces Model Context Protocol (MCP) and Agent-to-Agent patterns as they mature .

Key Responsibilities

-Develop and enhance AI-enabled Launchpad features, model integrations and prompt/workflow configurations (Schedule A.4).

-Run AI evaluations and experiments; produce evaluation outputs, prototypes and technical recommendations for ADM.

-Build retrieval and data patterns that support AI feature accuracy, grounding and reliability.

-Coordinate with the Marketplace PODs Agentic AI Engineer so Launchpad AI features can interoperate with MCP-based tool/context patterns as the Marketplace scope matures (Schedule B.6, B.7).

-Support AI-related technical documentation and analytics for Launchpad features.

-Assist with testing, defect triage and stabilization of AI-enabled components.

Required Skills Experience

-4+ years experience building applied ML/LLM-powered features in production software.

-Strong Python skills; experience with LLM SDKs/frameworks (OpenAI/Anthropic APIs, LangChain, or equivalent).

-Practical experience with prompt engineering, retrieval-augmented generation (RAG) and model evaluation methodology.

-Working understanding of API-based service integration and data pipelines.

Preferred / Nice-to-Have

-Familiarity with Model Context Protocol (MCP) concepts, tool-calling and agent orchestration patterns.

-Experience with enterprise data-source connectors (SharePoint, Teams, Outlook, Microsoft Graph).

-Exposure to agent evaluation, safety testing or hallucination/grounding assessment.

Collaboration Reporting

Works day-to-day with the Launchpad Tech Lead and Flex Specialist; cross-collaborates with the Marketplace PODs Senior Agentic AI Engineer on shared AI patterns, subject to each POD maintaining its own Backlog and Sprint Commitment (Section 2.3)

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