AI / ML Engineer

You'll build Python-based AI services, implement LLM-powered features, and work with backend teams to expose AI outputs through clean APIs. You'll also help define what's possible - advising on feasibility, trade-offs, and the right tools for each use case.

• Design and build Python-based AI/ML services (FastAPI or Flask) for intelligent product features
• Implement LLM-powered features: classification, extraction, summarisation, scoring, and agent-based workflows
• Train, validate, and iterate on ML models using structured and time-series data where applicable
• Build and maintain RAG pipelines for knowledge-intensive use cases
• Expose AI outputs via REST APIs consumable by application backends
• Implement feature engineering pipelines from relational data sources
• Monitor model and AI system performance in production - detect drift, evaluate outputs, retrain as needed
• Collaborate with product and engineering teams to define AI-driven feature requirements
• Document system logic and data requirements clearly for non-ML stakeholders

Personality

• You're excited about applied AI - not just the research, but shipping things that actually work
• You're rigorous: you evaluate outputs, you catch hallucinations, you don't ship blindly
• You communicate well about what AI can and can't do, especially with non-technical stakeholders
• You stay close to the field - you know what's changed in the last six months
• You're collaborative and enjoy working at the intersection of product and engineering

Experience

• 3+ years of AI/ML engineering or applied AI experience
• Strong Python skills - FastAPI or Flask for service development
• Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production systems
• Experience building or working with RAG architectures and vector databases (Pinecone, Weaviate, pgvector, or similar)
• Familiarity with ML frameworks for structured data tasks (scikit-learn, XGBoost, or similar)
• Experience deploying AI/ML services as REST APIs in production
• Ability to evaluate and monitor AI output quality in production

Nice to Have

• Experience with prompt engineering, fine-tuning, or instruction tuning
• Background in operations research or constraint-based optimisation
• Familiarity with PostgreSQL or BigQuery for data access
• Knowledge of agentic AI patterns (tool use, multi-step reasoning, function calling)
• Experience with model monitoring tools (MLflow, Weights & Biases), * Bachelor's or Master's degree in Computer Science, Mathematics, Data Science, or a related field
• Relevant AI/ML certifications or published work are a plus
• Fluent in English; French is a plus

AI is becoming a core part of what we build at Kainjoo - not as a buzzword, but as real, useful features embedded in the products our clients depend on. You'll be the person who makes that happen: designing and integrating AI and machine learning capabilities into production systems, working closely with backend teams, and pushing the quality bar for what intelligent features can do.