Senior Associate - AI Engineer
Vialto Partners (company site, opens in a new tab)6+ yrsBengaluru, KolkataOn-siteDirect career pageEst. 22–35 LPA
Posted 1d ago
Reach people at Vialto Partners
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Vialto Partners you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain backend services for Generative AI and agent-based applications on Microsoft Azure using Python and FastAPI.
- Develop and deploy secure, scalable, and production-ready AI systems using containerization (Docker, Kubernetes) and cloud-native architectures with Azure.
- Implement agent workflows, orchestration, monitoring, testing, and Responsible AI controls, collaborating with cross-functional teams to deliver enterprise AI solutions.
Minimum Requirements
- 6+ years of software engineering experience, with strong Python expertise.
- 2+ years experience in Generative AI, LLM, or agentic application development in enterprise or production environments.
- Experience with Microsoft Azure cloud services, FastAPI, Docker, Kubernetes, and databases like PostgreSQL, Cosmos DB, or SQL Server.
- Location requirement: Bangalore, India.
Ideal Candidate Profile
- Experienced in designing, deploying, and maintaining agentic AI systems and multi-agent orchestration frameworks in production.
- Strong backend engineering skills with expertise in secure design, monitoring, evaluation frameworks, and workflow management for AI applications.
- Familiarity with AI capabilities such as OCR, document intelligence, RAG, retrieval pipelines, and AI-assisted developer tooling.