Senior AI/ML Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Design and create AI-driven solutions for Statistical Programming across various studies and applications.

• Construct comprehensive Generative AI and agentic workflows that encompass data and metadata ingestion, retrieval, reasoning, tool utilization, code generation, execution, validation, and human review.

• Develop RAG and knowledge-centric solutions that incorporate organizational standards, metadata, specifications, historical study assets, programming conventions, and sanctioned knowledge sources.

• Create modular AI services, APIs, and reusable components, distinguishing deterministic business rules from probabilistic AI/LLM reasoning and generation.

• Implement AI reliability, reproducibility, and quality control measures, including structured inputs/outputs, prompt and model versioning, validation rules, automated evaluation, regression testing, and quality checks.

• Establish traceability and human-in-the-loop capabilities for review, approval, feedback, exception management, audit trails, and lineage tracking.

• Assist in deployment and LLMOps throughout development, testing, validation, and production environments, incorporating Git/CI/CD, monitoring, logging, model and prompt lifecycle management, security, and performance/cost optimization.

• Collaborate with Statistical Programming, Enterprise Architecture, IT/Cloud, Security, Validation, and Governance teams to transform proofs of concept into scalable enterprise solutions.

• Assess emerging AI technologies and architectural patterns.

• Perform other duties as assigned.

⛳️ Requirements

• Bachelor’s or master’s degree in computer science, Engineering, Artificial Intelligence, or Data Science.

• Over 5 years of practical experience in software engineering, AI/ML engineering, data engineering, or related technical fields, with a proven record of building and deploying production-quality applications.

• Practical experience in developing Generative AI/LLM solutions, including RAG, prompt/context engineering, embeddings, vector search, structured outputs, tool/function calling, and agentic AI workflows.

• Proficient programming skills in Python.

• Experience with modular design, APIs, Git, automated testing, CI/CD, and preferably, containerized/cloud-based applications.

• Familiarity with AWS and knowledge of cloud-based AI/ML services, data storage, security/access controls, logging, and monitoring.

• Understanding of AI reliability and evaluation principles, covering reproducibility, hallucination mitigation, validation, prompt/model versioning, automated evaluation, regression testing, traceability, and human-in-the-loop methodologies.

• Excellent analytical and problem-solving abilities.

• Capacity to work collaboratively across technical and business teams.

• Strong communication and organizational skills.

• Experience in pharmaceutical/biotechnology or regulated environments, along with an understanding of clinical data, Statistical Programming, SAS/R, CDISC/SDTM/ADaM, or GxP principles is preferred but not mandatory.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and career advancement.

• Flexible work hours and remote work options.

• Positive and inclusive work environment.