AI Engineer / Python developer + AWS + LLM Agents
Location: Remote-first
Employment type: B2B Contract
? Role Overview
We’re looking for an AI Engineer to design, implement, and maintain agentic AI systems for our clients. You’ll work across LLMs, orchestration frameworks, and data pipelines to deliver robust, observable, and secure automations.
This is not a research-only role — every project you take on will target production environments and real business use cases, with measurable impact. You’ll join a hands-on team that thrives on solving complex problems, shipping production-grade systems, and pushing the boundaries of what AI can do in real-world settings.
? Minimum Qualifications
? Nice to Have
AI Engineer / Python developer + AWS + LLM Agents
Location: Remote-first
Employment type: B2B Contract
? Role Overview
We’re looking for an AI Engineer to design, implement, and maintain agentic AI systems for our clients. You’ll work across LLMs, orchestration frameworks, and data pipelines to deliver robust, observable, and secure automations.
This is not a research-only role — every project you take on will target production environments and real business use cases, with measurable impact. You’ll join a hands-on team that thrives on solving complex problems, shipping production-grade systems, and pushing the boundaries of what AI can do in real-world settings.
,[Design and implement agent architectures and multi-step orchestrations in Python, Build with frameworks and runtimes such as LangGraph, LangChain, n8n, AWS Bedrock, and similar tools, Integrate and evaluate frontier models (OpenAI GPT family, Anthropic Claude, Google Gemini), Develop connectors to SaaS and enterprise systems via APIs, webhooks, queues, and events, Implement tools, memory, retrieval, and planning strategies for reliable agent behavior, Develop and maintain an internal SDK / reference agent template for reuse across projects, Productionize prototypes: CI/CD, packaging, containerization, and cloud deployment (AWS preferred), Add observability to agents: logging, tracing, evaluation, offline analysis, and guardrails, Collaborate with clients to gather requirements, run experiments, and iterate quickly, Facilitate design thinking workshops to map business needs into agent capabilities and success metrics, Apply security, privacy, and safety best practices for data and model usage Requirements: Python, LangGraph, LangChain, Gemini, OpenAI, Claude, TypeScript, AWS, AI agents, Data management, ETL, FastAPI, Flask, Node.js, Go, PostgreSQL, MongoDB, Slack, Salesforce