Key Responsibilities

- Architect, develop, test, deploy, and support AI agents using Microsoft Azure, Azure OpenAI, Microsoft Foundry, and suitable agent-development frameworks.

- Implement agentic workflows including planning, function/tool calling, multi-agent coordination, approval gates, and human-in-the-loop review.

- Build and maintain MCP clients and servers to connect agents securely to enterprise tools, services, APIs, and governed data sources.

- Integrate agents with enterprise systems, relational or document databases, REST APIs, Microsoft services, and business applications.

- Implement identity and access management, secrets handling, data privacy controls, responsible AI guardrails, and safeguards against prompt injection and unsafe tool execution.

- Develop maintainable services and reusable components in Python and/or C#; establish code quality, testing, versioning, deployment, and documentation standards.

- Evaluate agent quality, tool reliability, latency, cost, observability, and operational behavior; diagnose and remediate production issues.

- Provide technical leadership, review designs and code, mentor engineers where applicable, and collaborate with stakeholders to deliver measurable business outcomes.

Mandatory Technical Skills

- Microsoft Azure and Azure OpenAI: hands-on solution development, deployment, and service integration.

- LLM-powered agents: demonstrable implementation of agentic workflows, tool/function calling, and orchestration beyond straightforward chat or prompt prototypes.

- Microsoft Foundry: working knowledge of its capabilities and relevant agent development patterns/frameworks.

- Programming:



strong proficiency in Python and/or C# with sound API and software engineering practices.

- MCP and integrations: practical understanding of MCP clients/servers, tool connectivity, API orchestration, and enterprise integration.

- Retrieval and search: hands-on vector search, embeddings, and Azure AI Search or equivalent technology.

- Security: identity management, authentication/authorization, least-privilege access, secrets management, and AI-specific security considerations.

- Engineering effectiveness: troubleshooting, debugging, design communication, collaboration, and technical documentation.

Preferred / Value-Adding Skills

- Microsoft Agent Framework; Microsoft Fabric; Microsoft Graph; and SharePoint integration.

- Azure Functions, Logic Apps, API Management, and Azure Service Bus.

- Agent evaluation, LLM observability/tracing, quality measurement, and prompt-injection mitigation.

- LangGraph or similar agent orchestration frameworks.

- Proven delivery of enterprise AI solutions at scale, including operational monitoring and cost/performance optimization.

Experience & Qualifications

- 8+ years of experience in software engineering, cloud development, or enterprise integration.

- 3+ years of relevant AI/ML or Generative AI experience preferred.

- Demonstrated production delivery of AI agents beyond proof-of-concept or demonstration stages.

- Ability to independently drive technical implementation, make sound architecture decisions, and work effectively across teams.

- Bachelors degree in Computer Science, Engineering, Information Technology, or a related discipline preferred.

📌 Agent AI Developer (Bengaluru)
🏢 Accion Labs
📍 Bengaluru