Staff Backend Engineer (Python / AI Platforms)
Backend Engineer (Python / AI Platforms)
New York City (Hybrid)
Carter Wellington is partnering with a high-growth, AI-first technology company to hire an experienced Backend Engineer with strong Python expertise and a track record of building scalable systems used by real customers.
This role is ideal for engineers who thrive in fast-moving startup environments, take ownership of architecture decisions, and enjoy solving complex backend challenges at scale.
The Role
You will design and build backend systems that power AI-driven products, contributing directly to platform scalability, performance, and reliability. This is a hands-on engineering position where technical ownership, product thinking, and execution speed are essential.
What You’ll Do
- Design and build scalable backend services using modern Python (Python 3).
- Architect distributed systems supporting real-world production workloads.
- Develop APIs and backend infrastructure powering AI-native features.
- Build or integrate agentic workflows, automation pipelines, or LLM-powered capabilities.
- Collaborate closely with product and engineering teams to ship high-impact features.
- Contribute to scaling systems as usage and customer demand grow.
What We’re Looking For
Experience
- 6–10 years building production-grade software or platforms.
- Candidates with 4+ years considered if they demonstrate strong ownership during scaling journeys.
- Experience at high-growth startups (Series A–D) or AI-first environments preferred.
- Background as an early engineer, founding engineer, or key contributor during growth phases highly valued.
Technical Skills
- Strong Python backend engineering expertise.
- Experience designing scalable backend architectures and distributed systems.
- Understanding of modern AI systems and infrastructure.
- Experience with LLM integrations, agentic workflows, or AI-powered backend services is highly desirable.
- Cloud experience with AWS, GCP, or Azure.
- Containerisation and orchestration (Docker, Kubernetes).
Mindset
- High ownership and accountability.
- Strong product sense and customer-focused thinking.
- Comfortable operating autonomously in ambiguous environments.
- Direct communicator who moves quickly and solves problems creatively.
Additional Details
- Hybrid role based in New York City.
- Office collaboration expected (approx. 5 days per week with flexibility).
About Carter Wellington
Carter Wellington partners with venture-backed and high-growth technology companies to build exceptional engineering teams. We specialise in connecting AI-native startups with engineers who combine deep technical expertise with strong product thinking and ownership.
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