DataRoot Labs

Our client is an AI-driven company revolutionizing biopharma research and commercialization. Our mission is to accelerate the development of lifesaving cures by enhancing data-driven decision-making.

Key Responsibilities:

• Design and deploy LLM-powered applications, integrating LangChain/LangGraph for real-world biopharma use cases
• Build and maintain knowledge graph architectures, ensuring seamless integration of biological and clinical datasets
• Implement production-grade AI/ML models, optimizing for scalability, reliability, and compliance with industry standards
• Write clean, maintainable code, develop automated testing pipelines, and follow modern MLOps principles
• Work with AWS, Azure, or GCP to deploy and manage AI models at scale.
• Continuously refine ML models to improve accuracy and efficiency in large-scale applications
• Partner with data scientists, engineers, and business teams to deliver AI-powered solutions in drug development

Requirements:

• 7+ years of experience in AI/ML, including designing, building, and deploying LLM applications
• Proficiency in Python, R, and deep learning frameworks (TensorFlow, PyTorch)
• Hands-on expertise in LangChain for question-answering, chatbots, and workflow automation
• Strong understanding of ML algorithms, statistical modeling, and NLP techniques
• Experience with MLOps tools and cloud platforms (AWS, Azure, GCP)
• Solid data engineering skills, including ETL pipelines, database management, and object-oriented design
• Experience working with Databricks, Snowflake, and containerization tools like Docker & Kubernetes
• Strong problem-solving, communication, and collaboration skills

Would be a plus:

• Experience in biopharma, life sciences, or related industries
• Prior experience at Meta, Google, OpenAI, or similar companies
• Background in MLOps and deploying AI models in regulated environments

What We Offer:

• Startup culture, a strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance

Our client is an AI-driven company revolutionizing biopharma research and commercialization. Our mission is to accelerate the development of lifesaving cures by enhancing data-driven decision-making.
 

Key Responsibilities:

• Develop scalable data pipelines for ingestion, processing, and analysis of complex datasets.
• Integrate structured & unstructured data sources to create unified, AI-ready data environments.
• Collaborate with AI & product teams to enhance data architectures supporting AI models.
• Ensure compliance & security in line with pharma industry regulations (FDA, EMA, etc.).
• Optimize cloud-based workflows for large-scale data processing.
• Work cross-functionally with data scientists, engineers, and domain experts to align data solutions with business needs.
   

Requirements:

• 5+ years of experience in data engineering, preferably in pharmaceuticals or life sciences
• Expertise in Python, PySpark, SQL, Databricks, Snowflake, DBT, PostgreSQL
• Hands-on experience with AWS (preferred), Terraform, CloudFormation, Docker, Kubernetes
• Strong background in designing scalable data pipelines
• Knowledge of data governance & compliance frameworks in the pharma industry
• Excellent problem-solving & collaboration skills.
   

Would be a plus:

• Experience with LLMs & embeddings
• Integration with ML platforms (e.g., AWS SageMaker)
• Experience handling unstructured data (PDFs, images)

What We Offer:

• Startup culture, a strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance

We are looking for a talented Node.js Developer to expand our team of professionals. You’ll have to work with different ML-based projects, creating a backend infrastructure and developing a solution from the beginning of the project to the production. 

Requirements:

• 3+ years of experience in backend application development using Node.js with TypeScript
• Deep understanding and practical experience with the reactive programming paradigm
• Proficient in using the RxJS library to handle asynchronous data streams.
• Experience in developing and integrating WebSocket connections (socket.io, ws)
• Experience with databases (PostgreSQL, MongoDB, Redis)
• Experience with version control systems (Git)
• Understanding of basic networking technologies
• The candidate must be located in Kyiv, office-based

Would be a plus:

• Experience with Docker
• Experience with cloud platforms (Google Cloud, Azure, AWS)
• Practical experience with MediaStream API and WebRTC API
• Experience with CI/CD
• Experience with other reactive programming libraries
   

Key Responsibilities:

• Develop and maintain backend services using Node.js and TypeScript
• Implement functionality using WebSocket (socket.io, ws)
• Actively apply the reactive programming paradigm and the RxJS library
• Develop and integrate RESTful APIs
• Work with databases
• Participate in code reviews

• Collaborate with frontend developers and other team members

   

What We Offer:

• Startup culture, a strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance