Precision Medicine GroupRemote
AI Engineer
United States
Full-time
2 weeks ago
$134,000 - $165,000 USD
H1B Sponsor Likely
Key skills
Machine Learning EngineeringAI Solution DeliveryAzureAWSPyTorchMLflowHugging FaceLangChainSQLNoSQLCI/CDAgile MindsetData Privacy AwarenessEthical AI CommitmentCommunicationAIMachine LearningMLDeep LearningGenAIFlaskAgile
About this role
Precision Medicine Group is focused on building innovative AI-powered products and productivity solutions. The AI Engineer will be responsible for developing and scaling AI applications and solutions, collaborating closely with various teams to ensure effective delivery and compliance.
Responsibilities:
- Build and deploy enterprise-ready AI solutions using LLMs, other GenAI approaches, and deep learning capabilities
- Scale out AI solutions: optimize performance of solutions, automate deployment and testing
- Rapidly prototype and iterate on AI applications using Azure, AWS, and off-the-shelf tools
- Partner with the AI Solutions Architect to ensure scalable, secure, and compliant system design
- Develop APIs and lightweight UIs (e.g., Dash, Flask and others) to deliver AI tools to end users
- Stay current on emerging AI technologies, including vector databases, RAG pipelines, and productivity AI platforms
- Drive delivery of AI components aligned with product roadmaps and business priorities
Requirements:
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
- 3+ years of hands-on experience in machine learning engineering or AI solution delivery
- Experience working with Agile (SAFe) teams, iterative delivery cycles, and DevOps practices
- Prior experience with deploying and scaling GenAI or ML-based solutions. Within clinical/pharmaceutical/CRO industries a plus
- Experience working within a clinical regulated industry, and developing CRF Part11 compliant solutions is a plus
- Strong experience with many of the technologies mentioned above under ‘Core Technologies'
- Strong software engineering fundamentals, with a focus on model observability, testing, and automation
- Clear communicator who can distill technical detail for non-technical stakeholders
- Agile mindset with comfort in fast-paced, iterative environments
- Deep appreciation for data privacy, bias mitigation, and responsible AI practices
- Commitment to ethical AI development and AI governance principles