Senior/Lead AI Engineer [TypeScript]

We are looking for a Senior/Lead AI Engineer to join our team in building a central GenAI Platform that enables hundreds of product teams across the organization to rapidly develop, validate, and deploy AI agents at scale.

You will be part of a 100-engineer team in a dynamic, innovative environment that combines the stability of an established company with the agility of a startup. In this high-impact role, you will shape platform capabilities, design full-stack systems, and drive the delivery of AI agents that foster innovation and deliver real impact across industries.

Responsibilities

• Design and implement full-stack applications, AI agents, and platform components to enable rapid development and deployment of GenAI solutions
• Build developer tooling, CI/CD pipelines, and observability systems to ensure fast and safe iteration
• Apply secure SDLC and privacy-by-design principles, including threat modeling and ensuring least privilege
• Collaborate with product teams, UX designers, and domain experts to deliver customer-focused and outcome-driven solutions
• Utilize state-of-the-art LLM patterns to enhance system reliability, reduce costs, and improve trust and safety metrics
• Lead by example by writing high-quality, maintainable code that reflects engineering excellence
• Drive the design and implementation of innovative solutions leveraging cloud services
• Contribute to creating scalable, cloud-native systems for production environments

Requirements

• A minimum of 5 years of professional experience in software engineering
• Proficiency in full-stack development and experience with cloud platforms such as AWS, Azure, or GCP
• Strong expertise in at least one area, including AI agent development, backend engineering, or frontend development, with skills spanning multiple domains
• Knowledge of CI/CD pipelines, Infrastructure as Code, SRE, and scalable system design
• Demonstrated success in building and delivering robust and secure cloud-native systems
• Understanding of secure SDLC principles, data privacy considerations, and advanced quality engineering approaches
• Strong problem-solving skills and the ability to communicate effectively across various teams
• Upper-Intermediate English language proficiency (B2+)

Nice to have

• Proven ability to take software products from concept to completion in fast-paced environments
• Demonstrated experience in developing AI agents, including safety assessments, iterative testing, and continuous optimization
• Familiarity with LangChain, LangGraph, vector search systems, and OpenSearch
• Knowledge of traditional ML processes like model training, deployment, and monitoring
• Understanding of LLM architecture, failure modes, fine-tuning strategies, and model adaptation techniques
• Awareness of regulatory standards such as SOC2 or HIPAA