Remote AI Engineer: Agentic Systems & LLM Pipelines

WorkMotion

United States

Remote

USD 46,000 - 56,000

Full time

30 hours ago
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Benefits offered by this job

Global remote team across 26 countries
Well-Being Day (paid)
Training & Development Allowance
Annual team meetups

Job summary

WorkMotion is seeking an AI engineer to own production AI services, including multi-agent systems and LLM pipelines, for document processing, CRM automation, and support workflows. You will collaborate with engineering and product teams to deliver scalable, secure AI capabilities that drive business impact across our remote-first organization.

You will design, implement, and operate MCP tooling, data pipelines, and governance practices while maintaining high standards for reliability, privacy,

Qualifications

  • 3+ years of software engineering experience (backend/Python)
  • At least 1 year building LLM-based applications in production
  • Strong Python: FastAPI, Pydantic, SQLAlchemy/Alembic, async programming, pytest
  • Hands-on with LLM tooling: agent frameworks, gateway tools, MCP, RAG with vector databases
  • Docker, AWS (S3), CI/CD and observability tooling
  • Data privacy and security focus in design and operations
  • Fluent English (written and spoken)

Responsibilities

  • Design, build and ship production AI services in Python, including multi-agent systems and LLM pipelines
  • Develop and maintain MCP servers and integrations for safe access to company systems
  • Build retrieval and ingestion pipelines: parsing, chunking, embeddings, vector search on AWS
  • Evaluate quality: benchmarks, regression tests, replay of real cases, prompt iteration
  • Operate deployments: containerization, observability, authentication, and PII handling
  • Contribute to AI governance with lifecycle records and risk documentation

Skills

Python
LLM integration
English fluency
Problem solving
Security & privacy

Tools

Python
FastAPI
Pydantic
SQLAlchemy
Alembic
Docker
AWS S3
CI/CD

Job description

WorkMotion is seeking an AI engineer to own production AI services, including multi-agent systems and LLM pipelines, for document processing, CRM automation, and support workflows. You will collaborate with engineering and product teams to deliver scalable, secure AI capabilities that drive business impact across our remote-first organization.

You will design, implement, and operate MCP tooling, data pipelines, and governance practices while maintaining high standards for reliability, privacy,

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