Remote LLM & Agents Engineer for AI Systems

BearPlex

United States

Remote

USD 4,300 - 6,500

Full time

14 days+

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Benefits offered by this job

Fully remote work in Pakistan
Learning support for research and tool

Job summary

BearPlex seeks an experienced LLM Engineer to bring large language model features from design to production. You will build real-world applications, design agents with tool interfaces and memory, and implement robust retrieval and deployment pipelines.

The role emphasizes observability, latency control, cost management, and auditability in regulated environments, with remote work options in Pakistan and opportunities to work with open-weight models and deployment stacks.

Qualifications

  • Experience shipping LLM features used by real users.
  • Strong Python skills and ML tooling familiarity.
  • Understanding of agents, tool use, retrieval, context management, and failure modes.
  • Evaluation-driven approach to measuring model and system changes.
  • Hands-on experience with open-weight models, fine-tuning, and model serving.
  • Production discipline around cost, latency, observability, and auditability.

Responsibilities

  • Build LLM applications, defining prompts, tool interfaces, and orchestration for real workloads.
  • Design agents with tool use, memory, and guardrails that respect operational boundaries and fail safely.
  • Develop retrieval pipelines with chunking, embeddings, reranking, and source traceability.
  • Create evaluation datasets and offline and online measurements to assess model changes.
  • Fine-tune and serve open-weight models, including alignment work when a project requires it.
  • Operate production features by managing latency, cost, caching, fallbacks, monitoring, and deployment in client-controlled environments when needed.

Skills

Python
Agent design
Retrieval
Model serving
Observability

Education

Bachelor's degree in CS/ML

Tools

Docker
Kubernetes
Node.js
TypeScript

Job description

BearPlex seeks an experienced LLM Engineer to bring large language model features from design to production. You will build real-world applications, design agents with tool interfaces and memory, and implement robust retrieval and deployment pipelines.

The role emphasizes observability, latency control, cost management, and auditability in regulated environments, with remote work options in Pakistan and opportunities to work with open-weight models and deployment stacks.

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