AI Engineer

We are looking for an experienced Senior AI Engineer who demonstrates a high level of autonomy in designing full-stack solutions and can make a tangible impact on the development of a flagship medical assistant used by millions of doctors worldwide.

Our Client is an innovative organization that combines the stability of a mature company with the agility and culture of a startup. The project focuses on building a central Generative AI (GenAI) platform, enabling hundreds of product teams to create and deploy scalable AI agents.

📍 WORK MODE: 100% remote

⏱️ AVAILABILITY: We are looking for candidates available immediately or with a notice period of up to one month.

🧑‍💻 WHAT WILL YOU BE DOING?

• Designing, building, and operating production-grade LLM (Large Language Model) systems and AI agents, ensuring the highest quality standards.

• Implementing modern GenAI patterns such as RAG (Retrieval-Augmented Generation), routing, tool usage, and advanced agent orchestration.

• Creating evaluation frameworks, including regression tests, A/B tests, and rubric-based qualitative assessments (e.g. ROUGE, BLEU).

• Optimizing AI workloads for cost, latency, reliability, and minimizing hallucinations in mission-critical medical systems.

• Implementing AI security and trust practices, including guardrails and system-level error mitigation.

• Working closely with product, platform, and security teams to deliver end-to-end features.

🔍 WHAT WE EXPECT FROM YOU

Must-have:

• Minimum 8 years of professional experience in software engineering, with a strong focus on Python and backend technologies.

• Hands-on experience deploying LLM-based applications or agents to production environments, and confidence in live coding interviews.

• Knowledge of frameworks such as LangChain, LangGraph, or equivalent agent-building tools, as well as Pydantic for data validation.

• Experience with RAG pipelines, vector search (e.g. OpenSearch), and monitoring systems (Tracing, Observability).

• Ability to build secure and reliable cloud systems using AWS, Azure, or GCP (Google Cloud Platform).

• Familiarity with CI/CD processes and Infrastructure as Code (IaC) practices.

Nice-to-have:

• Experience optimizing performance and cost for large-scale LLM workloads.

• Background in regulated environments compliant with SOC 2 or HIPAA standards.

• Knowledge of AI security best practices and AI ethics.

🤝 WHY JOIN?

• Stable employment in a team of 100+ talented engineers.

• Real impact on patients’ health and lives by building tools that reduce diagnostic errors.

• International work environment with high autonomy and opportunities to mentor others.

• Exposure to a cutting-edge technology stack in the Generative AI space.

Thank you for all applications. We will contact selected candidates.