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Senior Python / Ai Engineer — Core Team @ Zumlo
Senior Python / Ai Engineer — Core Team @ ZumloZumlo • Thiruvananthapuram, Republic Of India, IN
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Senior Python / Ai Engineer — Core Team @ Zumlo

Senior Python / Ai Engineer — Core Team @ Zumlo

Zumlo • Thiruvananthapuram, Republic Of India, IN
30+ days ago
Job description

About Zumlo

Zumlo is an always-on well-being companion—one place for immediate help, gentle structure, and progress you can see. We unify mind, body, emotions, and relationships through timely support, a caring community, and personalized guidance that fits real life.

What we stand for : Human first

  • Simple >

complex

  • Privacy & trust
  • Evidence over hype
  • Inclusive by default
  • The role (why it’s rare)

    AI isn’t a bolt-on here—it’s the nervous system of the product. We’re hiring a senior who has already shipped LLM + retrieval to production and wants end-to-end ownership : problem framing, modeling / orchestration, evaluation, privacy / safety, and the Python services that make it real.

    What you will own

    Product AI (end-to-end)

  • Build AI across product surfaces : conversational help, guided steps, tailored activities, “what to do next,” summaries / explanations, and safety checks—grounded with retrieval and citations.
  • Turn fuzzy needs into robust flows : prompt design, tool / function calling, JSON-schema outputs, fallbacks, streaming, controllable tone and safety boundaries.
  • Retrieval & knowledge

  • Do RAG right : chunking / segmenters, embeddings, vector DBs (FAISS / qdrant / Pinecone / Milvus), hybrid semantic + re-rankers (BGE / ColBERT), dedupe, freshness policies, provenance.
  • Rapid test & evaluation loop

  • Make eval routine : golden sets, adversarial suites, shadow evals, canaries, online metrics tied to user outcomes. Capture in-app feedback and close the loop weekly.
  • Safety, privacy, governance

  • PHI / PII redaction, prompt-injection defenses, output guardrails, rate limits, audit trails, safe logging. Clear data-handling notes for the team.
  • Backend & reliability

  • Own Python services : FastAPI, Postgres (schemas / migrations), Redis, task queues, retries / idempotency, auth / RBAC, feature flags.
  • Observability first : logs / metrics / traces, alerting that matters, simple SLOs—systems that are predictable and calm.
  • Data & experimentation

  • Trustworthy event tracking, simple SQL cohorting, per-feature cost / latency dashboards, A / B hooks so product / growth can run honest tests.
  • Exploration & de-risking

  • Evaluate models / embeddings, inference servers (vLLM / TensorRT-LLM), compression / quantization, token-efficiency. Prove value with small, cheap spikes before big changes.
  • Collaboration & leadership

  • Partner with product, mobile (React Native / TS), and platform.
  • Review PRs, write concise docs / runbooks, mentor juniors, and help hire the next 1–2 great engineers.
  • Must-have experience

  • 7+ years software engineering with 4+ years Python shipping production APIs / services.
  • Production LLM + RAG you can discuss end-to-end : retrieval, orchestration, evaluation, and user impact.
  • RAG depth : embeddings, vector DBs (FAISS / qdrant / Pinecone / Milvus), hybrid search, re-rankers, citation strategies.
  • Backend foundation : FastAPI / Django / Flask, Postgres / SQL, Redis, queues (Celery / RQ), testing (pytest), CI / CD, containers.
  • Eval mindset : offline metrics + online behavior;
  • sample-size sense;
  • knows when to ship, iterate, or kill.

  • Security / privacy : least-privilege, secrets, encryption, safe logging;
  • comfortable with sensitive data.

    Strong plus

  • Well-being / health context;
  • HIPAA-aware practices.

  • Azure & Azure DevOps pipelines;
  • GPU inference;
  • streaming responses.

  • Telemetry for AI : prompt / version tracking, per-feature cost / latency, drift monitors.
  • Worked across US + India user bases / time zones.
  • How you work (what we value)

  • Builder energy : ship → measure → iterate.
  • Creative + logical : playful with ideas, strict with evidence.
  • Product-curious : start with the user problem and “definition of good.”
  • Kind, direct, low-ego : crisp commits / PRs, generous feedback.
  • Owner’s mindset : reliable, documented, observable.
  • Work setup

  • Remote-first in India, collaborating closely with a small core team.
  • Preference for Ahmedabad for an eventual in-person cadence;
  • open across India for the right fit.

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