Lead AI Engineer

We are seeking a Lead AI Engineer to serve as the technical owner of our connector implementation, responsible for designing and building the Drug/Drug Interaction Smart Connector in vanilla LangChain and LangGraph with no platform-specific dependencies. In this role, you will architect agentic orchestration that transforms natural-language questions into structured queries, lead a proof-of-concept validation and collaborate with cross-functional experts to ensure statistical and clinical correctness.

Responsibilities

• Design and build the Drug/Drug Interaction Smart Connector in vanilla LangChain and LangGraph with no platform-specific dependencies
• Architect the agentic orchestration that turns natural-language questions into structured queries against the PharmaPendium Advanced Search API
• Ensure retrieval through the FAERS module endpoint is reliable and traceable
• Lead the lightweight POC that validates the implementation can be cleanly refactored into SAIP platform
• Resolve compatibility issues before they become blockers
• Build out the full connector logic including candidate drug-pair generation ranked by interaction strength
• Implement MedDRA classification across generic and clinical phenotype terms
• Compute PRR/ROR disproportionality producing consistent traceable output tables with case counts, statistical measures and the signal-only interpretation flag
• Enforce clean well-documented code structured to support Codex-assisted refactoring
• Partner closely with the Data Scientist and Pharma SME to ensure statistical and clinical correctness
• Tune the connector against the agreed Golden Q\&A set so outputs meet the acceptance baseline through validation and handover

Requirements

• 5+ years of experience in AI engineering or related technical roles
• Expertise in vanilla LangChain (v1.2.6) and LangGraph (v1.0.7)
• Proficiency in designing agentic orchestration that converts natural-language questions into structured queries
• Skills in integrating with the PharmaPendium Advanced Search API and FAERS module endpoint
• Knowledge of MedDRA classification across generic and clinical phenotype terms
• Competency in PRR/ROR disproportionality computation and statistical measures
• Capability to lead POCs and resolve compatibility issues for platform refactoring
• Background in writing clean well-documented code structured to support Codex-assisted refactoring
• Understanding of collaborating with Data Scientists and Pharma SMEs to ensure statistical and clinical correctness
• English proficiency at B2 level or higher

We offer

• CONTINUOUS UPSKILLING, LEARNING \& DEVELOPMENT
  • Diversity of assignments and projects
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the Eurostaffs Learning library with 20,000+ courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL \& HEALTHCARE
  • Private health insurance
• WORKING ENVIRONMENT
  • Recreation office zones with tea, coffee and snacks
  • Sports and game consoles
  • IT equipment and Microsoft's Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Eurostaffs, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.