About Kadel Labs :

Kadel Labs is a deep-tech IT services company dedicated to transforming businesses with cutting-edge solutions. Our expertise spans Data Analytics, Engineering, and Visualization; Cloud services including DevOps, InfoSecOps, and InfraOps; Software development and modernization; and Generative AI-driven business applications. As a trusted partner of DataBricks, Azure, AWS, Web Methods, and Bitrix24 CRM, we empower businesses with innovative, reliable, and scalable technology solutions.

Job Title : Senior Software Development Engineer - .NET AI Engineer

Experience : 5+ Years

Location : Bangalore

About the Role :

We are seeking a Senior Software Development Engineer - .NET AI Engineer who can own features end-to-end, combining strong software engineering fundamentals with AI-native development practices. The role involves translating user outcomes into precise specifications, driving development through AI-assisted workflows, building scalable software components, and validating solutions against defined acceptance criteria.

Key Responsibilities :

Feature & Requirements Ownership :

- Author precise feature specifications covering requirements, edge cases, constraints, and acceptance criteria before development begins.

- Own features end-to-end by translating user outcomes into clear acceptance criteria.

- Drive development through AI-assisted workflows and validate outputs against defined specifications before delivery.

- Proactively identify and flag gaps or ambiguities before development begins.

AI-Native Engineering :

- Design and run generator-critic pipelines, using AI to generate outputs followed by structured critique against the same specification.

- Iterate on AI-generated outputs until defined acceptance criteria are met.

- Evaluate and adopt AI tools using structured reasoning and defined evaluation criteria.

- Stay current with the evolving AI development and tooling landscape.

Software Development :

- Build and maintain software components including APIs, data layers, services, and integrations.

- Develop and maintain the engineering foundation that supports AI-native workflows.

- Work autonomously across development, quality, and requirements while minimising unnecessary handoffs.

- Ensure disciplined specification, self-managed validation, and end-to-end ownership of deliverables.

Required Skills & Experience :

- Bachelor's degree in Software Engineering, Computer Science, or a related technical field.

- 5+ years of overall software development experience, with at least 3 years of actively using AI tools as a core part of the development workflow.

- Proficiency in .NET, MS SQL Server or equivalent RDBMS, MongoDB or equivalent NoSQL, and API development.

- Strong ability to write structured, machine-precise specifications that serve as ground truth for both code generation and output validation.

- Practical understanding of prompt construction, context engineering, and diagnosing AI output failures.

- Working awareness of the AI tool ecosystem, including LLM APIs, RAG, Vector databases, Agent frameworks, Agentic coding, AI code review, and AI test generation.

- Strong written communication skills.

- Experience working in Agile or Kanban environments with end-to-end ownership of deliverables.

Nice to Have :

- Hands-on experience building RAG pipelines, working with vector databases, or integrating LLM APIs into production systems.

- Experience with multi-agent orchestration frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.

- Familiarity with AI observability tools such as LangSmith, LangFuse, or Braintrust.

- Exposure to spec-driven development practices such as BMAD or GitHub Spec Kit.

- Exposure to real estate technology, mortgage, or related financial services domains.

- Awareness of Model Context Protocol (MCP) and its role in connecting AI agents to external tools and data sources.

Why Join Kadel Labs :

- Opportunity to work on AI-native software development and modern engineering practices.

- Work with emerging AI technologies, tools, and agentic development frameworks.

- Opportunity to own features end-to-end and directly influence product outcomes.

- Collaborative and growth-oriented work environment.

- Opportunity to work on innovative solutions across software engineering.