AI Platform Lead Engineer Job in Remote | Binariks

We are looking for an AI Platform Lead Engineer to join a project focused on building an AI-powered decision platform for pharmaceutical commercial teams. The platform is being developed for a US healthcare data and analytics company. It uses pharmacy, payer, patient, and clinical data to generate AI-driven insights and recommendations, explain decisions, and track their outcomes.

You will work with a team of engineers to build the platform, develop AI solutions, and integrate them with the client's existing applications.

What We're Looking For:

• 5+ years of software engineering experience, with 2+ years focused on designing and building LLM-based and agentic systems in production
• Proficiency with Python (or similar modern backend stack) for scalable service and API development
• Hands-on experience with LLM orchestration frameworks (e.g., LangGraph, LlamaIndex, or custom agent loops) and cloud LLM services (ideally Amazon Bedrock)
• Strong hands-on AI engineering experience, including prototyping and developing core components
• Experience with event-driven, multi-tenant SaaS architecture and cloud platforms (AWS)
• Understanding of AI evaluation, traceability, audit trails, and human-in-the-loop workflows
• Experience with technical planning, scoping, estimation, and roadmaps
• Technical leadership experience, including design and code reviews for distributed teams
• Experience working directly with clients and product leadership
• Knowledge of AI governance, risk controls, human oversight, and documentation
• Understanding of data platforms and knowledge graph architecture
• Upper-Intermediate English or higher (B2+)

Your Responsibilities:

• Lead the architecture and development of the AI platform
• Design and build LLM-based solutions and AI agent workflows
• Develop prototypes and core platform components alongside the team
• Integrate AI solutions with client applications and data sources via APIs
• Design and maintain scalable cloud-based architecture on AWS
• Implement AI evaluation, monitoring, traceability, and human oversight mechanisms
• Define technical scope, estimates, and development roadmaps
• Guide engineers, conduct technical reviews, and ensure code quality
• Collaborate with client engineering and product teams

Will Be a Plus:

• Experience in Pharma, Healthcare, or Life Sciences
• Experience building AI solutions in regulated environments
• Understanding of healthcare data standards and interoperability

Benefits of Working With Us

Vacation

18 working days of paid vacation

National Holidays

Day-offs on all public holidays

Sick-leave

10 working days

Additional days-off

Additional paid day-off in case of marriage, childbirth, blood donation, funeral

Medical Care

Medical support and insurance package with health check-up

Sport

Compensation for sports activities

Play Room

Tennis court and wall bar

Internal Activities & Events

Explore our hobby clubs and exciting events

Training & Conferences

Up to 50% coverage

Company-focused certifications

Cover 100% of successfully passing the exam

Tech Talks

Possibility to share and gain knowledge on regular tech talks

IT Cluster membership

Program which provides discounts from more than 1,000 partners

Maternity Leave Bonus

Financial bonus for childcare

Work From Anywhere

Option to combine WFH and office

Business Trip

Trips to the customer