Agent AI Developer

Accion Labs; Pune District, Mumbai, Bengaluru; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

Accion Labs in Pune, India, seeks a senior software engineer to architect, build, and deploy AI agents using Azure, Azure OpenAI, and Foundry, with emphasis on secure, enterprise-grade integration and governance.

You will lead technical design, mentor engineers, and collaborate with stakeholders to deliver scalable AI solutions, including tool calling, multi-agent workflows, and observability.

Qualifications

• 8+ years of software engineering, cloud development, or enterprise integration.
• 3+ years of AI/ML or Generative AI experience preferred.
• Proven production delivery of AI agents beyond PoC or demos.
• Ability to drive technical implementation and make architecture decisions.
• Bachelor’s in CS/Engineering/IT or related discipline preferred.

Responsibilities

• Architect, develop, test, deploy, and support AI agents using Azure, Azure OpenAI, Foundry, and agent frameworks.
• Implement agentic workflows including planning, function/tool calling, multi-agent coordination, gates, and human-in-the-loop reviews.
• Build MCP clients/servers to securely connect agents to enterprise tools, APIs, and data sources.
• Integrate agents with enterprise systems, databases, REST APIs, Microsoft services, and business apps.
• Implement IAM, secrets handling, data privacy controls, and guardrails against prompt injection.
• Develop maintainable services in Python and/or C#; ensure quality, testing, versioning, deployment, and docs.
• Evaluate agent quality, tooling, latency, cost, observability; diagnose production issues.
• Provide technical leadership, review designs, mentor engineers, and collaborate with stakeholders for outcomes.

Skills

Microsoft Azure & Azure OpenAI

LLM-powered agents

Microsoft Foundry

Python

C#

MCP integrations

Vector search / embeddings

Security & IAM

API development

Engineering effectiveness

Education

Bachelor's degree in CS/Engineering/IT

Tools

Azure Functions

Logic Apps

API Management

Azure Service Bus

SharePoint integration

Job description

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 simple 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.