AI / ML Engineer

About the Position

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.

Responsibilities

• 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

Requirements

Personalità

• 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

Esperienza

• 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)

Education

• 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

Position

Location: Morges, Svizzera

Type of Engagement: Remote

Department: KJ. Tech Engineering

We Offer

• Opportunity to work in a dynamic and innovative environment
• Collaborative and inclusive team culture
• Professional growth and development opportunities

About the Company

Kainjoo is a group of companies with the sole purpose of bringing brand performance to life in complex sectors. We have a global reach with partners and representatives located in all time zones.

Global Website

Regions:

• Africa, Middle East, and India
  • Algeria (French | English)
• Asia Pacific
  • China (Mandarin | English)
  • Japan (Japanese | English)
  • Singapore (English)
  • Australia (English)
  • India (English)
  • South Korea (English)
• Europe
  • Switzerland (English | French | German)
  • United Kingdom (English)
  • France (French | English)
  • Germany (German | English)
  • Spain (Spanish | English)
  • Italy (Italian | English)
  • Ukraine (Russian | English)
• Latin America
  • Mexico (Spanish | English)
  • Brazil (Portuguese | English)
• United States and Canada
  • Canada (English | French)
  • United States of America (English)