ClearlyAgile is looking to design, build, and deploy intelligent autonomous or semi-autonomous agents powered by Large Language Models (LLMs) to enable complex workflows, reasoning capabilities, system integration, and secure data interaction across enterprise environments.
Requirements
- 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).
Responsibilities
- 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.
- Create structured and unstructured knowledge retrieval mechanisms.
Other
- 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.
- Show Your Passion
- Be a Champion of Agile
