At Kadel Labs - Startup Studio we built an ecosystem for early-stage founders to help them take their ideas to the next level. The ecosystem consists of in-house product teams, engineers, designers, data scientists, sales & marketing teams, legal experts, taxation, finance and operation heads. We aim to build a cohesive ecosystem, so that your startup runs as a full-fledged business from day 1!
Job Description
About Kadel Labs
Kadel Labs is a deep-tech IT services company dedicated totransforming businesses with cutting-edge solutions. Our expertise spans DataAnalytics, Engineering, and Visualization; Cloud services including DevOps,InfoSecOps, and InfraOps; Software development and modernization; andGenerative AI-driven business applications. As a trusted partner of DataBricks,Azure, AWS, Web Methods, and Bitrix24 CRM, we empower businesses withinnovative, reliable, and scalable technology solutions.
Job Title: SSE-.NET AI Engineer
Experience: 5+ Years
About the Role
We are seeking a SSE-.NET AI Engineer who can ownfeatures end-to-end, combining strong software engineering fundamentals withAI-native development practices. The role involves translating user outcomesinto precise specifications, driving development through AI-assisted workflows,building scalable software components, and validating solutions against definedacceptance criteria.
Key Responsibilities
Feature & Requirements Ownership
- Authorprecise feature specifications covering requirements, edge cases,constraints, and acceptance criteria before development begins.
- Ownfeatures end-to-end by translating user outcomes into clear acceptancecriteria.
- Drivedevelopment through AI-assisted workflows and validate outputs againstdefined specifications before delivery.
- Proactivelyidentify and flag gaps or ambiguities before development begins.
- Designand run generator-critic pipelines, using AI to generate outputsfollowed by structured critique against the same specification.
- Iterateon AI-generated outputs until defined acceptance criteria are met.
- Evaluateand adopt AI tools using structured reasoning and defined evaluationcriteria.
- Staycurrent with the evolving AI development and tooling landscape.
Software Development
- Buildand maintain software components including APIs, data layers, services,and integrations.
- Developand maintain the engineering foundation that supports AI-native workflows.
- Workautonomously across development, quality, and requirements whileminimising unnecessary handoffs.
- Ensuredisciplined specification, self-managed validation, and end-to-endownership of deliverables.
Required Skills & Experience
- Bachelor'sdegree in Software Engineering, Computer Science, or a related technicalfield.
- 5+years of overall software development experience, with at least 3years of actively using AI tools as a core part of the developmentworkflow.
- Proficiencyin .NET, MS SQL Server or equivalent RDBMS, MongoDB or equivalentNoSQL, and API development.
- Strongability to write structured, machine-precise specifications that serve asground truth for both code generation and output validation.
- Practicalunderstanding of prompt construction, context engineering, anddiagnosing AI output failures.
- Workingawareness of the AI tool ecosystem, including:
- LLMAPIs
- RAG
- Vectordatabases
- Agentframeworks
- Agenticcoding
- AIcode review
- Strongwritten communication skills.
- Experienceworking in Agile or Kanban environments with end-to-end ownershipof deliverables.
Nice to Have
- Hands-onexperience building RAG pipelines, working with vector databases,or integrating LLM APIs into production systems.
- Experiencewith multi-agent orchestration frameworks such as LangChain, LangGraph,CrewAI, or AutoGen.
- Familiaritywith AI observability tools such as LangSmith, LangFuse, or Braintrust.
- Exposureto spec-driven development practices such as BMAD or GitHub Spec Kit.
- Exposureto real estate technology, mortgage, or related financial servicesdomains.
- Awarenessof Model Context Protocol (MCP) and its role in connecting AIagents to external tools and data sources.
Why Join Kadel Labs
- Opportunityto work on AI-native software development and modern engineeringpractices.
- Workwith emerging AI technologies, tools, and agentic development frameworks.
- Opportunityto own features end-to-end and directly influence product outcomes.
- Collaborativeand growth-oriented work environment.
- Opportunityto work on innovative solutions across software engineering