Cerebry - Generative AI Engineer - LLama

0 years

0 Lacs

Posted:21 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

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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