AI Developer

23 hours, 15 minutes ago
Contract
Mid Level
Software Development
AffirmData

AffirmData

AffirmData specializes in providing outsourced staffing solutions to growing businesses, enabling them to significantly reduce labor costs while enhancing operational efficiency and profitability.

Professional Services
251-1K

Description

  • Build and maintain AI agents capable of reasoning, planning, and executing tasks in production.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines to provide relevant context to LLMs.
  • Apply data chunking, embedding, and retrieval strategies to optimize information retrieval.
  • Integrate vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) into agent workflows.
  • Use and extend AI agent frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.
  • Connect agents to APIs, internal systems, and external tools to enable structured tool use.
  • Optimize prompts, agent logic, and memory components for reliability and performance.
  • Deploy, monitor, and iterate on AI systems in production, addressing failure modes and improving robustness.
  • Collaborate closely with product and engineering teams to define requirements and ship features.

Requirements

  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Hands-on experience building AI agents or LLM-powered applications.
  • Practical experience with RAG architectures and retrieval tuning.
  • Solid understanding of vector databases such as Pinecone, Weaviate, FAISS, or Chroma.
  • Experience with data chunking, embedding generation, and retrieval strategy optimization.
  • Familiarity with AI agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar).
  • Experience integrating LLMs with tools, APIs, and structured data sources.
  • Ability to reason about, debug, and mitigate agent behavior and failure modes in real-world scenarios.
  • Nice to have: experience with multi-agent systems, production deployment on AWS/GCP/Azure, LLM evaluation/monitoring/observability, backend or distributed systems background, and experience in startup or fast-paced product environments.

Interested in this position?

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