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Senior AI Engineer – Agent Systems & RAG (LangChain / CrewAI / Python / N8N)

Type: Full-timeCompany: Friday Media Group (FMG)About the Role:

We are building a next-generation AI Agent Platform across our group, alongside deploying specialised AI agents within our products and business wide operations. We are looking for a hands-on AI Engineer with strong experience in:

  • building and deploying AI agents
  • designing production-grade RAG (Retrieval-Augmented Generation) systems
  • working with frameworks such as LangChain and CrewAI

This is not a research role.

We are looking for someone who has built and shipped real AI systems into production environments .


What You Will Be Working On:

  • Designing and building multi-agent systems for real-world business workflows
  • Developing agents across:
  • Finance
  • Customer support automation
  • Marketing workflows
  • Sales and CRM automation
  • Building RAG-powered systems to enable agents to retrieve and reason over internal data
  • Integrating AI agents with real systems:
  • NetSuite
  • N8N 
  • CRMs
  • Email systems
  • Internal APIs and databases
  • Creating hybrid systems combining rules, workflows, and LLM reasoning
  • Implementing structured outputs (JSON, workflows, automation triggers)


Key Responsibilities:

  • Build, test, and deploy AI agents end-to-end
  • Design agent architectures (single-agent, multi-agent, tool-using agents)
  • Develop and optimise RAG pipelines , including:
  • document ingestion and chunking strategies
  • embedding pipelines
  • vector search and retrieval optimisation
  • grounding LLM outputs with internal data
  • Implement context management, memory, and tool usage within agents
  • Hands on experience with N8N or similar workflow automation tools
  • Integrate agents with external APIs, databases, and SaaS platforms
  • Build evaluation, monitoring, and logging systems for agent performance
  • Optimise for accuracy, latency, and cost efficiency
  • Work closely with product teams to translate workflows into AI-driven systems


Required Skills & Experience:

  • Strong experience in Python
  • Hands-on experience with:
  • LangChain
  • CrewAI (or similar multi-agent frameworks)
  • Proven experience building production-grade AI agents
  • Strong experience with RAG systems , including:
  • embeddings and vector search
  • retrieval optimisation (filters, hybrid search, ranking)
  • grounding outputs with structured and unstructured data
  • Experience working with vector databases such as:
  • Pinecone
  • or alternatives (Weaviate, FAISS, etc.)
  • Experience with LLM APIs (OpenAI, Gemini, etc.)
  • Strong understanding of:
  • prompt design
  • tool/function calling
  • memory and context handling


Preferred (Nice to Have):

  • Experience building AI agents in:
  • Finance (AP, AR, reporting, forecasting)
  • Marketing automation
  • Sales / CRM workflows
  • Customer support systems
  • Experience with fine-tuning or adapting models , including:
  • instruction tuning
  • domain adaptation
  • evaluation of fine-tuned vs prompt-based approaches
  • Experience with advanced RAG patterns:
  • hybrid search (vector + keyword)
  • re-ranking models
  • agent-driven retrieval strategies
  • Experience with:
  • Supabase / PostgreSQL
  • FastAPI or similar backend frameworks
  • event-driven or workflow-based systems
  • Exposure to NetSuite or financial systems is a strong plus


What We Are Looking For:

  • Someone who has actually built and deployed AI agents , not just experimented
  • Strong problem solver who can translate business workflows into AI systems
  • Comfortable working in a fast-moving, product-driven environment
  • Ability to balance:
  • LLM reasoning
  • deterministic rules
  • system design

Important Note

We are not looking for basic “chat with documents” implementations.

We are building production-grade AI systems integrated with real business workflows and decision engines .


Why Join Us:

  • Work on real-world AI deployment , not just prototypes
  • Build systems that directly impact business operations
  • Opportunity to shape a group-wide AI platform (FridayOS vision)
  • Exposure to multiple domains: finance, marketplaces, SaaS, recruitment

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