We are seeking a strong Software Engineer with Python expertise to support and build Generative AI and agentic AI solutions on Microsoft Azure. This role is ideal for someone who has hands-on experience building production-grade AI applications using the Microsoft Agent Framework, modern backend engineering practices, and secure cloud-native architectures.
This role covers both the AI-enabled automation of service delivery processes, i.e. tax and immigration services, as well as the use of AI capabilities to streamline functional/back-office processes (e.g. Finance, HR etc.).
The ideal candidate has experience designing and deploying agentic systems, building evaluation harnesses, integrating tools and workflows, and implementing Responsible AI and security controls for enterprise use cases.
Key Responsibilities
Design, build, and maintain backend services for GenAI and agent-based applications using Python
Develop APIs and services using FastAPI
Build and support AI solutions using the agentic framework
Design and integrate agent workflows, tool usage, orchestration, and workflow management patterns
Build and maintain services using PostgreSQL, Cosmos DB, and/or SQL Server
Containerize and deploy applications using Docker and Kubernetes
Develop secure, scalable, and production-ready AI systems on Azure
Build agentic harnesses, test frameworks, and evaluation pipelines
Implement observability, monitoring, logging, and quality checks for AI systems
Collaborate with cross-functional teams to deliver enterprise AI solutions
Use modern engineering tools and workflows including Azure DevOps (ADO), GitHub, and automation-friendly development practices
Ensure adherence to Responsible AI, security, privacy, and governance requirements
Support document intelligence, OCR, and data processing workflows where needed
Qualifications & Experience
6+ years of software engineering experience, especially Python
2+ years in GenAI, LLM, or agentic application development
Experience in enterprise or production AI environments preferred
Experience building backend services and APIs with FastAPI
Hands-on experience supporting or building GenAI / LLM-based applications
Experience with agent orchestration frameworks
Experience with Azure cloud resources and cloud-native application development
Experience with one or more databases: Postgres, Cosmos DB, SQL Server
Experience with Docker and Kubernetes
Experience with ADO, GitHub, and modern CI/CD workflows
Strong understanding of backend architecture, testing, debugging, and performance optimization
Experience with agentic engineering and agent-based solutions
Understands evals / evaluation frameworks
Strong understanding of secure design for AI systems, including access control, data handling, prompt safety, and system reliability
Experience integrating tools, APIs, and structured workflows into AI applications
Experience with workflow management and orchestration in enterprise environments
Strong understanding of MCP, SKILLS, plugins, tool calling, or reusable agent capabilities
Experience with OCR, document extraction, or document intelligence solutions
Experience with data wrangling, preprocessing, and unstructured data pipelines
Experience with RAG, search, retrieval pipelines, or knowledge integration
Knowledgeable about working with multi-agent systems
Familiarity with AI-assisted developer workflows and coding tools
Additional Information
Location: India - Remote
We are an equal opportunity employer that does not discriminate on the basis of any legally protected status.
Please note, AI is used as part of the application process.