AI Engineer
We are looking for an AI Engineer to help strengthen and scale Light-it’s AI capabilities across internal initiatives, client projects, and our Innovation Lab. This is not a traditional Machine Learning or Data Science role. The focus is on LLMs, agentic AI, RAG systems, AI workflows, prompt engineering, evaluations, observability, guardrails, and production-ready AI applications. The ideal candidate is independent, highly technical, curious, and comfortable working in fast-changing environments. You should be able to research new technologies, prototype solutions, build reliable AI systems, teach others, and turn ambiguous AI opportunities into practical products and workflows.

Main required skills
- Fluent written and spoken English.
- Strong passion for Generative AI, LLMs, and AI-powered products.
- Strong software engineering fundamentals.
- Experience coding in Python.
- Experience working with APIs, Git, SQL, and backend development concepts.
- Experience building LLM-based applications, agents, workflows, or automations.
- Understanding of agentic AI patterns and orchestration frameworks.
- Understanding of RAG architectures, vector databases, embeddings, retrieval strategies, and context optimization.
- Understanding of prompt engineering techniques, LLM behavior, structured reasoning, and token optimization.
- Ability to design evals, tests, monitoring processes, and feedback loops for AI systems.
- Strong ownership, autonomy, and ability to move projects forward with limited supervision.
- Ability to research independently, compare alternatives, and recommend practical solutions.
- Ability to explain technical concepts clearly and teach others.
- High adaptability to evolving requirements, timelines, tools, and priorities.
We are looking for someone able to
Other valuable skills
- Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, Gemini, AWS Bedrock, or similar tools.
- Experience with Langfuse, LangSmith, Datadog, or other observability platforms.
- Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, pgvector, or similar.
- Experience with GraphRAG, knowledge graphs, hybrid search, semantic search, or agentic RAG.
- Experience creating automated evaluations, regression tests, prompt tests, retrieval tests, and quality benchmarks.
- Experience with automation tools such as n8n, Make, Zapier, Retool, or similar.
- Experience with FastAPI or other Python backend frameworks.
- DevOps knowledge, including Docker, CI/CD, cloud services, deployment workflows, monitoring, and infrastructure basics.
- Previous healthcare, biotech, or healthtech experience.
- Familiarity with HIPAA, PHI, healthcare interoperability, EHR integrations, FHIR, or HL7.
Meet Your team

Join our team!
We are always on the look for new bright minds to join us; apply here! We'll review your CV and contact you if there's an opportunity that suits your needs.

































































































































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