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.

This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.

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

• We connect like-minded people
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
• We invest in your growth
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
• We cover it all
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)

EPAM Armenia is a team of talented innovators united by a passion for technology. In 2014, we opened our first office in Yerevan, and now we have a second engineering hub in Gyumri. We've built a continuously learning organization that helps its employees rapidly advance their careers. Here you will work with the world's industry leaders, support impactful projects using the latest technologies, collaborate with multi-national teams, and have access to a wide variety of development opportunities.