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. Agent Design & DevelopmentArchitect 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 IntegrationConnect 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 ManagementCreate 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 AutomationDesign 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 & EvaluationFine-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 & ComplianceEnforce 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 & DocumentationWork 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.