AI Engineer - Remote

- Architect and implement LangGraph based agent systems in production
- Design graph-based workflows with conditional logic, tool calling and memory management
- Integrate LLM providers such as OpenAI, Anthropic or others into structured agent pipelines
- Build middleware in Node.js and Express to support AI orchestration
- Implement retrieval pipelines using embeddings and vector databases
- Design user-specific recommendation logic powered by behavioural and nutritional data
- Build observability, logging and evaluation frameworks for LLM outputs
- Improve reliability, latency and cost efficiency of AI systems
- Collaborate cross-functionally to translate product requirements into AI architecture
- Contribute to future AI initiatives including advanced recommendation engines and intelligent coaching features

Required:
- Technology stack: TypeScript, JavaScript, LangGraph
- 5+ years of experience in working with software development in general, with TypeScript stack
- Strong experience building backend systems using Node.js and Express
- 2+ years experience working on AI applications/wrappers
- Hands on experience with LangChain/LangGraph
- Deep understanding of agent design patterns, tool use, memory handling and graph orchestration
- Experience integrating LLM provider APIs like OpenAI, Anthropic or similar LLM providers
- Experience implementing RAG pipelines with embeddings and vector databases
- Practical knowledge of prompt design, structured outputs and evaluation frameworks

Preferred:
- Experience with production system (maintaining, monitoring log and technical support)
- Experience building health, nutrition or wellness related AI systems
- Experience designing AI systems that work with sensitive user data
- Familiarity with AI safety, guardrails and responsible AI practices
- Experience working in fast-moving startup environments
- Experience building multi-agent or hybrid deterministic plus LLM systems

- Receive 100% salary from the onboarding date.
- Participate in company activities: Teambuilding, travel, vacation and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.