AI Engineer

About the Project:

Things are a little different here because we aren’t just another company. There’s more to Global BrainForce than our innovative technology and agile methodology. We are a Global BrainForce of talented, passionate developers – and together is what makes us who we are as a company.

We care about what we are doing.

We are looking for a AI Engineer to join out team who will implement  AI chat and recommendation system. You will build a production ready, stateful AI assistant that analyses user data, behaviour, goals and history to deliver intelligent nutrition recommendations inside our app. 

This role goes beyond simple prompt engineering. You will design graph based agent workflows, multi step reasoning pipelines, tool orchestration and long running conversational state using LangGraph. You will work closely with the Head of Engineering and Product team to turn nutrition science and user data into scalable AI driven product experiences. You will also play a key role in future AI features on our roadmap.

Does that sound like somewhere you would fit in? Keep reading to find out more about life at Global BrainForce.

What You'll Do:

• A LangGraph powered conversational nutrition assistant
• Multi step reasoning workflows that combine user profile data, behavioural data and contextual signals
• Tool enabled agents that query internal APIs and databases for personalised recommendations
• Stateful conversations with memory, structured outputs and guardrails
• Retrieval augmented generation pipelines for domain specific nutrition knowledge
• Evaluation and monitoring frameworks for AI performance and safety
• 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

What You Need to Get the Job Done (Minimum Qualifications)

Required:

• 3+ years experience as an AI Engineer or ML Engineer building production systems
• Hands on experience with LangChain and strong experience with LangGraph in production
• Deep understanding of agent design patterns, tool use, memory handling and graph orchestration
• Experience integrating OpenAI API, Anthropic or similar LLM providers
• Strong experience building backend systems using Node.js and Express
• Experience implementing RAG pipelines with embeddings and vector databases
• Practical knowledge of prompt design, structured outputs and evaluation frameworks
• Experience working with user behavioural data and recommendation systems
• Familiarity with Python for AI experimentation, evaluation or model workflows
• Experience deploying AI systems in cloud environments such as AWS, GCP or Azure
  

Preferred:

• 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

Soft Skills:

• Strong system thinker who understands orchestration, not just prompts
• Product minded engineer who cares about real user outcomes
• Comfortable owning architecture decisions and shipping to production
• Curious and proactive about emerging AI tooling
• Excited to build AI that creates meaningful behaviour change in people’s lives

What You'll Love About Us

• HMO and government-mandated benefits covered
  
• Remote work opportunity.
  
• Regular training and upskilling opportunities
  
• Healthy working times
  
• Supportive, no-drama work culture focused on quality delivery.
  
• Corporate events, team buildings, etc.