LLM Agent Engineer

Techtalenthunter; Emea; Remote; IDR 100.000.000 - 200.000.000; Full time

Job summary

A leading technology firm is seeking a highly experienced LLM Agent Engineer to design specialized LLM agents for single-cell analytics. This role involves building pipelines for scientific applications using Python and LangChain, with a focus on bioinformatics workflows. Ideal candidates will have extensive experience in data engineering and API development. The position offers a remote-first culture with significant autonomy and the chance to push AI boundaries in life sciences.

Benefits

Work with world-class researchers

Flexibility and autonomy

Opportunity to innovate in AI

Qualifications

• 7+ years of experience in Data Engineering or related roles.
• Deep familiarity with agent architectures and LLM frameworks.
• Strong ability in building RESTful APIs.

Responsibilities

• Design and implement LLM agents using LangChain.
• Build intelligent pipelines for biological data exploration.
• Collaborate with teams to develop APIs connecting LLM agents.

Skills

Experience with LLMs

Python programming

LangChain usage

Backend API development

Bioinformatics familiarity

Data preprocessing skills

Education

PhD or MSc in Bioinformatics or related field

Tools

Docker

Kubernetes

Hugging Face

PyTorch

TensorFlow

Job description

About the Role

We are seeking a highly experienced LLM Agent Engineer to design, develop, and deploy specialized Large Language Model (LLM) agents for advanced applications in single-cell analytics and omics data. You will play a key role in building intelligent personas using the LangChain framework to bridge complex biological datasets with advanced AI capabilities.

This is a unique opportunity to contribute to cutting-edge scientific research through applied AI.

Key Responsibilities

• Design and implement LLM agents and personas using LangChain and other LLM frameworks.
• Build intelligent pipelines for biological data exploration and scientific analysis.
• Develop, fine-tune, and adapt LLMs for domain-specific tasks in genomics, transcriptomics, proteomics, etc.
• Integrate LLM agents with existing bioinformatics workflows and scientific toolkits.
• Collaborate with frontend and backend teams to develop RESTful APIs that connect LLM agents to applications.
• Ensure high-quality, scalable code for both experimental prototypes and production-level agents.

Must-Have Requirements

• 7+ years of experience as a Data Engineer or in related roles.
• 5+ years of hands-on experience with:
  • LLMs and agent architectures
  • Python, with strong use of LangChain, Hugging Face, PyTorch or TensorFlow
  • OpenAI APIs and LLM tuning techniques
• Deep familiarity with LangChain concepts:
  • Prompt templates, memory, tools, and chains
  • Agent architectures and middleware logic
• Solid understanding of omics data formats and bioinformatics workflows
• Experience with single-cell analytics or scientific data pipelines
• Strong ability to preprocess, clean, and structure complex datasets for LLM consumption
• Experience building and documenting RESTful APIs to serve LLM agents

Nice to Have

• PhD or MSc in Bioinformatics, Computational Biology, or related field
• Hands-on experience with:
  • Popular omics toolkits (e.g., Scanpy, Seurat, Bioconductor)
  • Scientific computing frameworks (e.g., NumPy, SciPy, Pandas, scikit-learn)
  • Deployment of models in production (Docker, Kubernetes, cloud services)

Preferred Regions

Candidates must reside in one of the following EMEA or Eastern Europe & Central Asia countries:

• Europe: Poland, Ukraine, Romania, Bulgaria, Hungary, Czech Republic, Slovakia, Serbia, Croatia, Georgia, Armenia, Moldova, etc.
• Central Asia: Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan
• Middle East: UAE, Israel, Jordan, Turkey, etc.

Why Join Us?

• Work with world-class researchers and engineers on a pioneering AI product
• Remote-first culture with flexibility and autonomy
• Opportunity to push the boundaries of AI in the life sciences domain