About the role

  • Build — design & ship Agentic AI for CX and structured extraction pipelines.
  • Architect & scale systems for reliability and efficiency, engage in on-call duties.
  • Collaborate with back‑end & front‑end teams on ML product integration.
  • Align with product teams and document impacts of new capabilities.

Requirements

  • 7–10 years building production ML/back‑end systems; 2+ years leading while coding.
  • Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams).
  • Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines.
  • Hands‑on with time‑series analysis (forecasting, change‑point, drift).
  • Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control.
  • You explain results clearly, align stakeholders, and write crisp docs.

Benefits

  • Professional development opportunities

Job title

Data Science Tech Lead – GenAI

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job