Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Build AI-powered platforms, tools, and workflows that create value for clients and empower internal teams.

Requirements

• Strong experience building backend services and APIs in Python (any modern web framework)
• Experience with document databases (e.g., Firestore, MongoDB).
• 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.
• APIs & Services: REST/GraphQL, schema/versioning, authentication/authorization.
• Reliability: Testing (Pytest or similar), observability, performance tuning.

Responsibilities

• 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 BigQuery); use document databases (e.g., Firestore, MongoDB) 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.
• Define and version API contracts (REST/GraphQL); document systems and interfaces.

Other

• 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.
• Communicates and collaborates effectively with creative, operations, strategy, and data partners.