Project overview:

We are looking for a Tech Lead / AI Architect who will serve as both a hands-on senior engineer and the technical leader for an AI-driven healthcare platform. This role combines system architecture ownership, production-level coding, and technical leadership, with a strong emphasis on building reliable, explainable AI-enabled workflows. This is not a research or theory-focused AI role. The successful candidate will design and implement end-to-end systems, balancing AI capabilities with classic software engineering concerns such as scalability, security, maintainability, and compliance.

Requirements:

Core Engineering

• 8+ years of professional software engineering experience;
• Strong hands-on experience with:
  • Node.js and TypeScript,
  • REST APIs and service-oriented architectures,
  • relational and analytical databases.
• Proven ability to design and maintain complex backend systems.

Cloud & Infrastructure

• Strong experience with AWS, including:
  • VPCs, IAM, networking, and security best practices,
  • managed services (e.g., ECS, Lambda, S3, RDS/Redshift).
• Familiarity with CI/CD pipelines and infrastructure-as-code concepts.

AI & Data Systems

• Practical experience integrating LLMs or AI services into production systems;
• Experience with:
  • prompt design for structured outputs,
  • AI evaluation and error analysis,
  • AI explainability and provenance.
• Understanding of AI system risks (hallucinations, drift, brittleness) and mitigation techniques.

Architecture & Design

• Strong background in:
  • distributed systems,
  • event-driven architectures,
  • data modeling and schema evolution.
• Ability to balance short-term delivery with long-term maintainability.

Nice to have:

• Experience in healthcare, life sciences, or other regulated domains;
• Familiarity with HL7, FHIR, or EHR integrations;
• Experience designing systems with auditability and compliance requirements;
• Prior experience in technical leadership roles (Tech Lead, Staff Engineer, Architect).

Responsibilities:

Technical Leadership & Architecture

• Own the overall system architecture, ensuring consistency across services, data models, and APIs;
• Make and document architectural decisions covering:
• • backend services,
  • event-driven workflows,
  • data ingestion and transformation,
  • integration with external systems (HIEs, EHRs).
• Ensure the platform is scalable, secure, and auditable, especially in regulated environments.

Hands-On Engineering

• Actively contribute production-quality code (Node.js, TypeScript, AWS);
• Review and guide the implementation of:
  • ingestion pipelines,
  • AI-powered agents and workflows,
  • backend APIs,
  • frontend integration points.
• Set and enforce coding standards, testing strategies, and performance benchmarks.

AI & Agent Design

• Design AI-enabled components using AWS Bedrock (including Agents, prompt orchestration, and tool use);
• Ensure AI outputs are:
  • grounded in source data,
  • explainable and traceable,
  • safe and compliant.
• Work closely with AI Engineers to define:
  • prompt patterns,
  • structured outputs,
  • evaluation and monitoring strategies.

System Reliability & Quality

• Define strategies for:
  • observability,
  • error handling,
  • retries and fallbacks,
  • graceful degradation when AI services fail.
• Collaborate with DevOps to ensure robust CI/CD and infrastructure practices;
• Support QA by defining testability and non-functional requirements.

Cross-Functional Collaboration

• Partner with Product Managers and Business Analysts to translate requirements into technical designs;
• Work with clinical or domain SMEs to ensure the correctness and safety of decision logic;
• Act as the technical point of contact for architecture discussions with stakeholders and partners.

Our benefits:

• Professional and career growth promotion;
• Competitive salary;
• Paid vacations and sick leaves;
• Internal Medical Program;
• Program for veterans (which includes mentorship, an accessible office for individuals with disabilities, legal support, and additional benefits);
• Flexible working hours;
• Regular corporate social activities;
• Regular technical training at our office;
• English courses;
• Gym, etc.