AI Agent Developer

AI Agent Developer (LLM Specialist)

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.

• 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.

• Connect agents to internal systems, databases, knowledge bases, and APIs.
• Use frameworks such as Lang Chain, Llama Index, Haystack, Semantic Kernel, or custom pipelines.
• Implement connectors for CRMs, ERPs, ticketing platforms, or document repositories.

• 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.

• 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.

• 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.

• 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.

• 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, Type Script/JavaScript, or Go.
• Familiarity with API development (REST, Graph
  
  QL, 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 (Lang Chain Agents, CrewAI, Auto Gen, 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.

Clearly Agile is a rapidly growing Agile practice in the Tampa Bay area. We offer unlimited paid time off, 10 paid holidays, medical, vision, and dental benefits starting on day one, shared‑appreciation rights, a 401(k) plan, paid training certifications, and competitive compensation plans. We are an equal‑opportunity employer committed to a diverse workforce.

To learn more about us please visit