Negotiable
Outside
Remote
USA
Summary: The AI Engineer role focuses on designing and optimizing AI agents for reasoning and decision-making, integrating contextual knowledge through RAG pipelines, and managing workflows across various tools and APIs. The position requires collaboration with product teams to implement AI-driven features and build scalable APIs. Candidates should have strong programming skills and experience with autonomous agents and AI tooling. The role is remote and classified as outside IR35.
Key Responsibilities:
- Design, develop, and optimize AI agents capable of reasoning, decision-making, and tool usage
- Implement and fine-tune RAG pipelines for contextual knowledge integration
- Develop, integrate, and manage agentic workflows across APIs, vector stores, and third-party tools
- Leverage Cursor AI and similar platforms to prototype and deploy agent-based applications
- Collaborate with product teams to implement AI-driven features with seamless developer experience
- Build scalable APIs for model access, integration, and service orchestration
- Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling
Key Skills:
- Strong programming skills in Python or equivalent (Go/Node.js is a plus)
- Experience in developing autonomous agents and agentic workflows using frameworks like LangChain, AutoGen, or similar
- Hands-on with Cursor AI for development, debugging, and agent orchestration
- Experience building and consuming RESTful APIs
- Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning
- Experience with prompt engineering, tool calling, and multi-agent collaboration setups
- Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Key Responsibilities
- Design, develop, and optimize AI agents capable of reasoning, decision-making, and tool usage
- Implement and fine-tune RAG pipelines for contextual knowledge integration
- Develop, integrate, and manage agentic workflows across APIs, vector stores, and third-party tools
- Leverage Cursor AI and similar platforms to prototype and deploy agent-based applications
- Collaborate with product teams to implement AI-driven features with seamless developer experience
- Build scalable APIs for model access, integration, and service orchestration
- Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling
Required Skills & Qualifications
- Strong programming skills in Python or equivalent (Go/Node.js is a plus)
- Experience in developing autonomous agents and agentic workflows using frameworks like LangChain, AutoGen, or similar
- Hands-on with Cursor AI for development, debugging, and agent orchestration
- Experience building and consuming RESTful APIs
- Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning
- Experience with prompt engineering, tool calling, and multi-agent collaboration setups
- Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks