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Urgent! Senior Python / AI Engineer — Core Team @ Zumlo Job Opening In jaipur – Now Hiring Zumlo

Senior Python / AI Engineer — Core Team @ Zumlo



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.



Required Skill Profession

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