Lead AI Engineer
We are seeking a Lead AI Engineer to join our team and drive the development of cutting-edge AI solutions.
This role involves designing and implementing full-stack applications, AI agents, and platform components to enable rapid GenAI agent development, validation, and deployment.
Responsibilities
- Design and implement full-stack applications, AI agents, and platform components
- Build developer tooling, CI/CD, and observability for safe, fast iteration
- Apply secure SDLC and privacy-by-design practices
- Collaborate with product, UX, and domain experts to deliver customer-focused solutions
- Apply current LLM patterns to deliver measurable customer value
- Lead by example, drive architecture, mentor engineers, and take ownership of larger projects
Requirements
- 5+ years of professional software engineering experience
- Strong full-stack development skills and cloud experience (AWS/Azure/GCP)
- Expert in at least one, and proficient across the others: AI Agent development and evaluation, Backend development, Frontend development
- Cloud services (AWS/Azure/GCP), CI/CD and Infrastructure as Code, Site Reliability Engineering (SRE)
- Quality engineering/testing strategy, Secure SDLC and privacy by design
- Proven track record delivering secure, reliable, cloud-native systems to production
- Upper-Intermediate English language proficiency (B2)
Nice to have
- Proven ability to deliver software products independently or as part of a small, fast-paced team
- Experience of taking AI agents from concept to production, including safety evaluations and iterative testing
- Experience with LangChain/LangGraph and MCP; vector/RAG systems; OpenSearch
- Worked on traditional ML tasks like training, deployment, and monitoring
- Understand how LLMs work, their failure modes, and techniques like fine-tuning and model adaptation
- Familiarity with regulatory frameworks such as SOC2, HIPAA, etc.
