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.
