Principal AI Engineer – Generative AI & Intelligent Lab Automation

🕒 Full-time | Senior Leadership Role

We are seeking an experienced and visionary Principal AI Engineer to lead transformative AI initiatives that enhance automation, efficiency, and intelligent decision-making in high-throughput laboratory environments.

This is both a strategic and hands-on role, where you’ll define and drive the AI roadmap—pioneering innovations in Generative AI, deep learning, and lab automation at scale. You’ll work cross-functionally to implement impactful, real-time AI solutions that revolutionize laboratory operations.

Key Responsibilities

AI Leadership & Strategy
Define and execute the AI strategy for next-generation lab operations.
Drive adoption of Generative AI, deep learning, and automation to optimize workflows.
Lead R&D in:
Retrieval-Augmented Generation (RAG)
Prompt engineering
LLM fine-tuning and optimization
Deliver AI-powered solutions for:
Smart task list generation
Contextual workflow guidance
Intelligent lab automation
Assess and integrate emerging AI technologies for real-world lab environments.
Advanced AI & Machine Learning Engineering
Architect and scale AI systems using AWS Bedrock, SageMaker, PyTorch, TensorFlow, and Scikit-learn.
Fine-tune custom LLMs for workflow automation and enhanced decision support.
Build real-time AI applications with predictive insights and contextual recommendations.
Apply MLOps best practices for:
Automated model training
Validation
CI/CD deployment pipelines
Software Engineering & Intelligent UX
Develop end-to-end AI applications integrating:
Workflow automation
Task management
Decision support systems
Design AI-enhanced UIs and dashboards that guide lab personnel through complex procedures.
Contribute to both frontend and backend development for a seamless AI-powered user experience.
Cross-Functional Collaboration & Thought Leadership
Collaborate with data scientists, engineers, and lab experts to design practical AI solutions.
Lead internal and partner teams in Generative AI application delivery.
Evangelize AI/ML innovation to both technical and business stakeholders.
Champion ethical and compliant AI practices aligned with healthcare and life sciences regulations.

Required Experience
8+ years in software development with a strong focus on AI/ML.
Deep expertise in Python, Java, SQL, and frameworks like PyTorch, TensorFlow, Keras, and Scikit-learn.
Proven hands-on experience in:
Generative AI systems
LLM fine-tuning
RAG (Retrieval-Augmented Generation)
8+ years deploying machine learning models in production using platforms like AWS SageMaker or Bedrock.
Demonstrated success in:
Workflow automation
Building real-time AI applications
Optimizing cloud-based infrastructure
Strong grasp of MLOps, scalability, and cloud (AWS) best practices.
Strategic thinker with a builder’s mindset and an innovation-first approach.
Preferred Qualifications
Experience working with LIMS/LES systems and lab automation tools.
Familiarity with healthcare and life sciences regulatory requirements (e.g., HIPAA, GxP).
Background in designing secure and compliant AI solutions for regulated environments.

Be at the forefront of AI innovation in life sciences. Your work will directly impact the future of laboratory intelligence, enabling groundbreaking efficiencies and smarter scientific discovery. You’ll join a collaborative and forward-thinking team where your expertise will drive real-world transformation.

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