Being a driving force for the team's agentic coding practice - establishing patterns for spec-driven development, context engineering, and multi-agent orchestration that compound team output.
Owning and defining architecture for AI-powered applications and services, ensuring scalability, security, and maintainability across teams.
Designing, developing, and deploying backend infrastructure and AI services with a focus on high availability, performance, and reliability.
Leading cross-functional initiatives, collaborating with Machine Learning Engineers, Product Managers, and other teams to align technical solutions with business needs.
Driving innovation by making strategic technical decisions, setting best practices, and mentoring engineers to elevate the team’s technical bar.
Improving developer experience by building internal tooling, streamlining workflows, and optimizing deployment pipelines.
Ensuring seamless data flow, building high-throughput, secure, and scalable data pipelines to support AI model training and deployment.
Championing best practices in software engineering, ensuring high-quality code, rigorous testing, and well-documented design decisions.
Required Skills
5+ years of experience in software development, with a strong backend / full-stack engineering background.
Fluency with agentic coding tools (Claude Code, Codex or equivalent). Experience writing effective specs, managing repo context, and reviewing/verifying agent output.
Expertise in backend development, with proficiency in Python and/or Node.js and modern web frameworks like FastAPI, Flask, Express.js, Next.js
Strong software architecture skills, with experience designing and scaling distributed systems and cloud-based applications.
Hands-on experience with Docker and Kubernetes for containerization and orchestration.
Database expertise, including SQL, NoSQL, and data streaming solutions.
Experience working with cloud platforms such as AWS, GCP, or Azure.
Proficiency in software engineering best practices, including code reviews, unit testing, CI/CD pipelines, and system design.
Experience mentoring engineers and contributing to team-wide technical direction.
Strong communication skills, with the ability to translate technical challenges into business impact.
Proven track record of leading fullstack projects, from early prototypes to production systems.
Nice to Have
Familiarity with Stripe, subscription management.
Exposure to computer vision, LLMs, or multimodal AI applications.
Experience with developer-facing products and building intuitive APIs.