AI Engineer

Overview

The AI Engineer is responsible for helping build, deploy and scale innovative AI-powered products and productivity solutions. This role focuses on turning business ideas into real-world applications using modern AI frameworks, Azure/AWS components, and XOps workflows.

This role works in close partnership with the AI Solutions Architect, software development engineering teams, and data engineering teams. The responsibilities center around (a) XOps engineering for AI (building, extending, optimizing pipelines and modules that effectively product ionize AI solutions), and (b) helping build AI products based on existing (internally or externally created) models and components.

• 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.

• Data & Cloud:
  Azure, AWS, Google Cloud, Snowflake
• ML/AI Frameworks:
  PyTorch, MLflow, Hugging Face, Lang Chain, MCP
• UI & Deployment:
  Dash, Flask, FastAPI
• Databases: SQL, No
  
  SQL, Graph Databases (Neo4J or others), Document Databases (Mongo
  
  DB or others)
• MLOps:
  Git Hub Actions, CI/CD, containerization, pipeline orchestration

Education

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.

Work Experience:

• 3+ years of hands-on experience in machine learning engineering or AI solution delivery.
• Experience working with Agile (SAFe) teams, iterative delivery cycles, and Dev Ops 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 Part
  11 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.

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Reasonable estimate of the current range $133,500 — $165,000 USD.

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Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender…