SSE.Net Developer - AI

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: SSE-.NET AI Engineer

Experience: 5+ Years

Location: Bangalore

About the Role

We are seeking a SSE-.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
  
• 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