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
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
Skills Required
- Bachelor's degree in Software Engineering, Computer Science, or a related technical field
- 5+ years of overall software development experience
- At least 3 years of actively using AI tools as a core part of the development workflow
- Proficiency in .NET
- Proficiency in MS SQL Server or an equivalent relational database
- Proficiency in MongoDB or an equivalent NoSQL database
- Experience with API development
- Ability to write structured, machine-precise specifications for code generation and output validation
- Practical understanding of prompt construction, context engineering, and diagnosing AI output failures
- Working awareness of 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
- Hands-on experience building RAG pipelines, using vector databases, or integrating LLM APIs into production systems
- Experience with LangChain, LangGraph, CrewAI, or AutoGen
- Familiarity with LangSmith, LangFuse, or Braintrust
- Exposure to BMAD or GitHub Spec Kit
- Exposure to real estate technology, mortgage, or related financial services domains
- Awareness of Model Context Protocol (MCP)
What We Do
Kadel Labs is a deep-tech IT services and product-engineering company that helps organizations modernize systems, use data effectively, adopt AI, and build scalable digital products across multiple industries. Its offerings include data engineering and analytics, cloud engineering, software development and modernization, Gen AI services, and SaaS platforms. The company also operates as a startup studio supporting early-stage founders and technology ventures.
