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Cerebry - Generative AI Engineer - LLama

Cerebry - Generative AI Engineer - LLama

CerebryNoida
30+ days ago
Job description

What youll build :

Retrieval & data grounding :

  • Connectors for warehouses / blobs / APIs; schema validation and PII-aware pipelines; chunking / embeddings; hybrid search with rerankers; multi-tenant index management.

Orchestration & reasoning :

  • Function / tool calling with structured outputs; controller logic for agent workflows; context / prompt management with citations and provenance.

    • Evaluation & observability :

  • Gold sets + LLM-as-judge; regression suites in CI; dataset / version tracking; traces with token / latency / cost attribution.

    • Safety & governance :

  • Input / output filtering, policy tests, prompt hardening, auditable decisions.

    • Performance & efficiency :

  • Streaming, caching, prompt compression, batching; adaptive routing across models / providers; fallback and circuit strategies.

    • Product-ready packaging :

  • Versioned APIs / SDKs / CLIs, Helm / Terraform, config schemas, feature flags, progressive delivery playbooks.

    • How youll work :

  • Collaborate asynchronously with Research, Product, and Infra / SRE.
  • Share designs via concise docs and PRs; ship behind flags; measure, iterate, and document.
  • Enable product teams through well-factored packages, SDKs, and runbooks.

    • Tech youll use : LLMs & providers :

  • OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock; targeted OSS where it fits.

    • Orchestration / evals :

  • LangChain / LlamaIndex or lightweight custom layers; test / eval harnesses.

    • Services & data :

  • Python (primary), TypeScript; FastAPI / Flask / Express; Postgres / BigQuery; Redis; queues.

    • Ops :

  • Docker, CI / CD, Terraform / CDK, metrics / logs / traces; deep experience in at least one of AWS / Azure / GCP.

    • (ref : hirist.tech)

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    Cerebry - Generative AI Engineer - LLama • Noida