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