AI Agent Developer

ClearlyAgile-posted about 2 months ago
Full-time • Mid Level
Tampa, FL
101-250 employees
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AI Agent Developer (LLM Specialist) Role Overview The AI Agent Developer is responsible for designing, building, and deploying intelligent autonomous or semi-autonomous agents powered by Large Language Models (LLMs). This role focuses on enabling complex workflows, reasoning capabilities, system integration, and secure data interaction across enterprise environments.

  • Agent Design & Development
  • Architect and implement AI-powered agents using LLMs (e.g., GPT, Claude, Llama, Mistral, Gemini).
  • Develop prompt workflows, retrieval-augmented generation (RAG), and multi-step reasoning.
  • Configure agent behaviors for decision-making, task execution, and contextual understanding.
  • Implement function calling, tool use, or API integration to extend agent capabilities.
  • System Integration
  • Connect agents to internal systems, databases, knowledge bases, and APIs.
  • Use frameworks such as LangChain, LlamaIndex, Haystack, Semantic Kernel, or custom pipelines.
  • Implement connectors for CRMs, ERPs, ticketing platforms, or document repositories.
  • Data & Knowledge Management
  • Create structured and unstructured knowledge retrieval mechanisms.
  • Build and manage vector databases (Pinecone, Weaviate, Chroma, Milvus, Azure AI Search).
  • Implement embeddings, chunking strategies, metadata tagging, and query optimization.
  • Workflow Automation
  • Design agent orchestration pipelines to handle multi-agent collaboration.
  • Enable agents to automate research, reporting, email drafting, document processing, and customer interactions.
  • Integrate with workflow tools like Zapier, Airflow, UiPath, or Power Automate.
  • Model Optimization & Evaluation
  • Fine-tune or customize LLMs using organization-specific data.
  • Evaluate model performance for accuracy, latency, cost, hallucinations, and compliance.
  • Apply guardrails, prompt validation, and reinforcement techniques.
  • Security, Ethics & Compliance
  • Enforce data privacy and governance standards (GDPR, HIPAA, SOC2, ISO, CCPA).
  • Implement role-based access and secure API token handling.
  • Apply content filtering, moderation, and usage monitoring.
  • Collaboration & Documentation
  • Work with cross-functional teams (engineering, design, product, legal, security).
  • Maintain technical documentation, agent configuration logs, and deployment playbooks.
  • Train internal teams on capabilities and responsible use.
  • Experience with Python, TypeScript/JavaScript, or Go.
  • Familiarity with API development (REST, GraphQL, JSON).
  • Experience with cloud platforms: Azure OpenAI, AWS Bedrock, GCP Vertex AI, or Hugging Face.
  • Knowledge of vector databases and retrieval architectures.
  • Strong understanding of LLM architectures, embeddings, prompt engineering, and RAG.
  • Experience with fine-tuning or model adaptation techniques.
  • Familiarity with agent frameworks (LangChain Agents, CrewAI, AutoGen, Semantic Kernel).
  • Experience building chatbots, copilots, or domain-specific assistants.
  • Knowledge of event-driven architecture, microservices, or serverless functions.
  • Exposure to MLOps or LLMOps tooling.
  • Unlimited Paid Time Off
  • 10 paid holidays
  • Medical, Vision and Dental benefits that start on your first day
  • Share Apprecition Rights
  • 401(k)
  • paid training certifications
  • very competitive compensation plans
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