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AI Summary
Company description:
Vialto Partners is a market leader in global mobility services. Our purpose is to ‘Connect the world’. We are unique and the only stand-alone global mobility business. This presents a rare opportunity for our clients, stakeholders and colleagues.
Our teams help companies streamline and effectively manage their global mobility programs in a cost-efficient and compliant manner. Our services focus on providing cross-border compliance and risk assessment for tax, immigration, business travel, rewards and compensation, and remote work.
Working at Vialto Partners is about getting the chance to be part of a global and dynamic team. Globally, Vialto Partners has over 6,500 staff in over 50 countries around the world and continues to grow. You will work with clients from a range of industries and different geographical locations. We believe in connecting the world and supporting our colleagues to do the same in their careers by undertaking assignments and opportunities globally that broaden their skills and ultimately benefit our clients.
Vialto is unstoppable when we work together in a culture of belonging, where everyone can thrive. We encourage employees to bring their true selves and share their unique talents and expertise to positively impact the communities we serve.
To learn more about what we do, tune in to our podcast On the Move to hear expert insights on issues affecting global mobility, and read about the latest news in the industry. You can also follow us on LinkedIn and Instagram.
About Vialto Labs (VLabs)
Vialto Labs (VLabs) is responsible for redesigning how work is delivered in the tax and immigration service lines, as well as driving operational efficiency across Vialto’s functional areas using AI. The team builds and deploys novel AI-enabled solutions that directly improve productivity and increase delivery quality for our clients. VLabs is accountable for rapidly turning innovative experiments into production-ready deliverables at scale and embedding them into day-to-day operations. This team focuses on the highest-impact workflows, creating standardized, repeatable capabilities that can be deployed globally. Operating with a mandate for speed and measurable outcomes, VLabs works alongside service line, product, and platform leaders.
About the Role
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, 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
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.
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