GenAI Engineer

We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic.

You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform

50% Build — design & ship

25% Architect & scale

15% Collaborate

10% Align & showcase

• Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️
• AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar).
• 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).
• Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines.
• LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift).
• Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control.
• Communication: You explain results clearly, align stakeholders, and write crisp docs.
• DevOps wizardry; GPU/accelerator experience.
• Multimodal pipelines (text + voice + screenshots).
• Prior experience in contact center/CX analytics or novelty/anomaly systems.
• Founder or founding engineer experience