Senior Full Stack Developer

Senior Full Stack Developer

We’re looking for a backend‑leaning, Senior Full Stack Engineer who will build AI‑powered platforms, tools, and workflows that create value for our clients and empower our creative, strategy, operations, and account teams.

$/yr – $/yr

• You’re a strong backend‑focused engineer who thinks in terms of systems, data models, and APIs.
• You’re comfortable hopping into simple frontend tasks when needed.
• Enjoys collaborating closely with cross‑functional partners.
• You can translate requirements into scalable software that balances speed, quality, and reliability.
• You’re curious about AI and other emerging technology and excited to integrate them responsibly into real products.
• You take ownership of products, from design through deployment and maintenance.

• Design, build, and maintain backend services and APIs primarily in Python (FastAPI/Starlette), emphasizing clean design, performance, and reliability.
• Model data and write high‑quality SQL (primarily in Big Query); use document databases (e.g., Firestore, Mongo
  
  DB) where appropriate.
• Build, harden, and operate containerized services: author Dockerfiles (multi‑stage), manage image versions in Artifact Registry, and enforce container security/scanning.
• Deploy on GCP with Cloud Run and Compute Engine; leverage Secret Manager, Artifact Registry, Cloud Build/Deploy, and Cloud Monitoring/Logging;
  Kubernetes familiarity is a plus.
• Integrate LLM/AI capabilities with an agentic approach (tool/function calling, multi‑step orchestration/planning, retrieval/RAG, and memory) using providers such as OpenAI, Anthropic, and Google Gemini, as well as open‑weight models; implement evaluation, safety, and guardrails.
• Utilize our enterprise AI platform (Abacus.ai) that provides unified access to multiple language, image, and short‑form video models, plus prompt/version management, safety, and analytics; help define reusable patterns and abstractions for it across products.
• Collaborate with data partners on ELT pipelines; use Big Query and Dataform for transformations and analytics use cases.
• Define and version API contracts (REST/Graph
  
  QL); document systems and interfaces.
• Apply security and privacy best practices (auth, IAM least‑privilege, secret handling, input validation, rate limiting).
• Establish observability (metrics, logs, traces) and conduct performance tuning; participate in pragmatic on‑call as needed.
• Write tests (unit/integration/e2e); maintain CI/CD pipelines; conduct code reviews; mentor junior engineers.

• Strong experience building backend services and APIs in Python (any modern web framework).
• Experience with document databases (e.g., Firestore, Mongo
  
  DB).
• Containers & CI/CD:
  Docker/OCI image authoring, multi‑stage builds, image scanning/SBOMs, Artifact Registry; automated builds and deployments.
• Cloud: GCP first (Cloud Run and Compute Engine, Secret Manager, Artifact Registry, Cloud Build/Deploy, Monitoring/Logging);
  Kubernetes familiarity welcome; equivalent AWS/Azure experience acceptable.
• AI/LLM:
  Agentic architectures (tool/function use, multi‑step orchestration, retrieval/RAG, planners, memory), evaluation/guardrails/safety; experience with OpenAI, Anthropic, Google Gemini, and open‑weight models; familiarity with enterprise AI platforms that unify access to multiple model types.
• Reliability:
  Testing (Pytest or similar), observability, performance tuning.
• Frontend:
  Able to handle simple UI needs using modern web technologies; framework agnostic.
• Process:
  Git‑based workflows and agile practices.
• Communicates and collaborates effectively with creative, operations, strategy, and data partners.
• Outcome‑oriented problem solving; balances speed, quality, and security.
• Ownership and accountability; follows through and documents decisions.
• Growth mindset; receptive to feedback and continuous learning.
• Uses AI assistants responsibly with validation: evaluates outputs critically, adds tests, and adapts code to team conventions before submission.

• 4+ years of professional software engineering with a backend focus.
• Proven and demonstrable experience building Python (FastAPI/Starlette) services…