AI/ML Engineer

The AI/ML Engineer will be responsible for one of the following tasks:

• Design, build, and optimize intelligent agents using LangChain and LLMs (e.g., OpenAI, Claude, LLaMA).
• Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., ChromaDB, Pinecone, Weaviate).
• Develop multi-step reasoning workflows, tool-using agents, and integrations with APIs and structured data.
• Fine-tune or prompt-engineer foundation models to suit specific tasks or business domains.
• Optimize performance, latency, and cost of LLM inference in production environments.
• Collaborate cross-functionally with data scientists, product managers, and DevOps to deliver secure and scalable AI solutions.
• Maintain best practices for evaluation and observability.

The AI/ML Engineer is expected to have the following qualifications and skills:

• 5+ years of software engineering experience, with 1–2+ years working directly with LLMs and/or LangChain.
• Strong programming skills in Python and/or TypeScript.
• Deep understanding of prompt engineering, agent design, and RAG workflows.
• Experience with vector databases (e.g., Chroma, Pinecone, FAISS) and data embeddings.
• Familiarity with OpenAI, Anthropic, or open-source LLMs (e.g., LLaMA, Mistral, Ollama).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong communication skills and a collaborative mindset.

• An open mind and flat structure where every voice is welcome.
• A work environment built on transparency, seamless communication, trust, and a sensible approach ,combined with mixed cultures and a speaking environment
• Individual assessments every 6 weeks with your line manager
• Performance review every  6 months
• 15 days of annual leave and + 6 days of fully paid sick leave per year – can be used for the care of sick child
• Christmas Holiday
• Competitive salary
• Bonus: 13th-month Salary
• Social insurance for employees who pass their probation

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