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Senior Software Engineer – Tech Lead, AI
Threecolts. Design, develop and launch AI features using LLMs for listing optimisation, product descriptions, pricing insights, translation and image enhancement .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI features using LLMs, with a strong focus on building reliable APIs and integrations for e-commerce platforms. Proven ability to optimize performance and scalability while collaborating effectively within a remote team environment.
Highest-signal resume keywords
AI Feature DevelopmentLLM IntegrationBackend EngineeringAPI DesignSaaS Application Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
C#SQL ServerMongoDBREST APIsGraphQL APIsOpenAIAnthropicPrompt EngineeringFunction CallingData Synchronisation
Soft Skills
Strong Communication SkillsCollaborative ApproachPragmatic Problem Solving
Tools & Technologies
MCP ServerAI Agent FrameworksOAuthWebhooksRate Limiting
Industry Keywords
E-Commerce PlatformsMarketplace APIsSeller ToolsSaaS Team Experience
Tech Stack
Tools & technologiesGraphQLMongoDBSQL.NET
About the role
Key responsibilities & impact- Design, develop and launch AI features using LLMs for listing optimisation, product descriptions, pricing insights, translation and image enhancement
- Build reliable AI workflows focused on output quality, performance, latency and cost
- Evaluate and improve AI features using real customer usage and measurable results
- Design, build and maintain the MCP server and public API
- Develop secure, scalable integrations enabling AI agents to act on behalf of sellers
- Ensure APIs are reliable, well-documented and scalable
- Work across .NET, C#, SQL Server, MongoDB, REST and GraphQL APIs
- Build and maintain integrations with e-commerce platforms and marketplaces
- Improve platform performance, reliability and scalability
- Own features from design through development, testing and production
- Break complex projects into manageable stages and deliver regular improvements
- Collaborate with developers, product and the GM on technical solutions
- Contribute to code reviews, technical discussions and knowledge sharing
- Communicate progress, identify risks and keep delivery on track
Requirements
What you’ll need- 5+ years of software engineering experience, ideally building and maintaining production SaaS applications
- Hands-on experience developing and shipping AI-powered features using LLM APIs such as OpenAI, Anthropic or similar; real production experience required
- Strong understanding of LLM integration, including prompt engineering, function calling, structured outputs, evaluation and cost optimisation
- Experience building an MCP server or similar AI agent/tool integration architecture
- Strong backend engineering skills, with the ability to design scalable, reliable applications and APIs
- Experience with third-party APIs, including OAuth, webhooks, rate limiting and data synchronisation
- Comfortable taking technical ownership while remaining hands-on with development
- Collaborative, pragmatic approach to engineering, with strong communication skills and willingness to share knowledge
- Good working English, comfortable collaborating with an international remote team
- .NET/C#, SQL Server or MongoDB experience is advantageous, but other backend stacks are accepted
- Experience with AI agent frameworks, RAG or AI evaluation tools is nice to have
- Experience with e-commerce platforms, marketplace APIs or seller tools is nice to have
- Mobile development experience is nice to have
- Browser extension experience is nice to have
- Experience working in a small, fast-moving SaaS team is nice to have
Benefits
Comp & perks- Fully remote working