AI Agent Developer
Indexed description
Key Responsibilities
馃敼 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
- 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
- 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, 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
Our Mission: Transform our customer's businesses using Agile methodologies and principles to help them succeed in a flexible, collaborative, self-organizing and fast-paced environment.
Our Values: We hire and reward based on our core values.
- Show Your Passion - Have passion for what you do. Be an active learner with a commitment to grow. Attend and participate in events!
- Be a Champion of Agile - Spread the word. Back it up with examples, case studies, and data points. Lead by example
- Teamwork - Be cooperative and collaborative while maintaining a team-first mindset
- Customer-centric - Always focus on the client and their customers. See the world from their perspectives
- Quality - Maintain a sense of pride in the quality of your work and the collective work of the team
- Be a Leader - Empower yourself to make decisions and don't be paralyzed by fear of failure
To learn more about us visit our website at www.clearlyagile.com.
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