AI Developer

2 days ago

Our client tackles fundamental computational and scientific challenges in bioinformatics, providing researchers with cutting-edge software tools that speed up discovery and advance precision medicine, drug development, and life sciences research. They develop products that enable scientists to analyze, explore, and interpret complex biological data.

python

Responsibilities

We’re looking for a senior or lead-level AI Developer with a strong emphasis on LLMs and agentic workflows to join the team. In this position, you’ll play a key role in embedding LLM-driven features into bioinformatics applications, working on both experimental prototypes and production-ready solutions.

  • Design and develop LLM-based functionality using state-of-the-art AI tools, including RAG and agentic systems.
  • Operate across the AI development lifecycle — from early-stage prototyping to live deployments — validating concepts and ensuring effective real-world use.
  • Investigate and assess new AI tools (both proprietary and open-source), identifying those with tangible benefits.
  • Work closely with product, data, and bioinformatics teams to craft AI solutions that are practical and scientifically robust.
  • Fine-tune performance in production settings: latency, output quality, token efficiency, and stability.
  • Contribute to prompt engineering and evaluation methodologies, addressing risks like hallucinations and overconfidence in real use cases.

Requirements

  • 6+ years of hands-on software engineering with solid computer science fundamentals (algorithms, data structures).
  • Proficiency in Python and working familiarity with Java for integration tasks.
  • Practical experience with LLM APIs (e.g., OpenAI, Anthropic) and orchestration libraries (e.g., LangChain, LlamaIndex), including real-world deployments.
  • Knowledge of retrieval pipelines and vector databases for semantic search within LLM-driven workflows.
  • Strong understanding of agentic systems and prompt design, including iterative improvement strategies.
  • Excellent communication and collaboration skills.
  • A true interest in life sciences and applying AI in bioinformatics settings.
  • Proficiency in English, both spoken and written.

It would be nice for you to have:

  • Experience evaluating and integrating open-source models and frameworks.
  • Familiarity with model serving and fine-tuning tools (e.g., vLLM, TGI, Triton).
  • Awareness of LLMOps and observability practices.
  • Exposure to bioinformatics or working with real-world biological data.
  • Frontend development experience (e.g., React) is a plus.

We offer you:

  • A multinational, experienced team of professionals.
  • Option to work fully remotely.
  • Private health insurance and fully paid sick leave.
  • Thorough onboarding and domain-specific training.
  • Flexible working hours.

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