Software Engineering - Senior Manager

Overview

Build and maintain Python backend services for GenAI and agentic AI solutions on Microsoft Azure, within Vialto Labs, which redesigns service delivery in tax and immigration and drives AI-enabled operational efficiency.

What you'll do

• 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, Claude Code, Cowork, 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

What you'll need

• 6+ years of software engineering experience, especially Python
• 2+ years in GenAI, LLM, or agentic application development
• Hands-on experience supporting or building GenAI / LLM-based applications
• Experience building backend services and APIs with FastAPI
• 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

Nice to have

• Experience in enterprise or production AI 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

Details

• Based in the Bangalore office, with the possibility of hybrid work mode
• Use of AI is part of the application process