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
