Senior AI Platform Engineer Job in Remote | Binariks

We are looking for a Senior AI Platform 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 alongside other engineers to build and develop the platform, implement LLM-based solutions and agentic workflows, and integrate AI capabilities with the client's existing systems.

What We're Looking For:

• 5+ years of commercial software engineering experience, with at least 2 years focused on building and deploying LLM applications in production (RAG, tool calling, structured outputs)
• Strong Python backend development skills, including event-driven services and APIs on AWS
• Experience developing agentic workflows using LangGraph, LangChain, or similar frameworks
• Understanding of multi-step agent workflows and human-in-the-loop processes
• Experience with LLM APIs and managed AI platforms, preferably Amazon Bedrock
• Experience with LLMOps: evaluation, tracing, observability, and prompt versioning
• Ability to track and document the sources and reasoning behind AI-generated recommendations
• Experience with Document AI and extracting structured data from contracts, specifications, and notes
• Knowledge of graph queries and graph-based data structures
• Upper-Intermediate English or higher (B2+)

Your Responsibilities:

• Design, develop, and maintain LLM-powered applications and AI agent workflows
• Build and improve RAG pipelines, tool integrations, and structured output processes
• Develop Python backend services and API integrations on AWS
• Implement document processing, data extraction, and validation workflows
• Build mechanisms for AI evaluation, monitoring, and traceability
• Ensure AI-generated recommendations are supported by relevant sources and reasoning
• Implement human-in-the-loop workflows to support reliable AI decision-making
• Collaborate with engineers and product stakeholders to deliver and improve platform capabilities

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