
AI Agent Engineer
2 days ago
Key Responsibilities:
- Design and implement autonomous AI agents using large language models (LLMs) and reasoning frameworks.
- Build tool-use and planning systems that enable agents to take multi-step actions (e.g., use APIs, browse data, execute code).
- Develop memory, reflection, and goal-tracking mechanisms for persistent agents.
- Integrate LLMs with backend systems, databases, and external APIs.
- Optimize inference performance, safety, and reliability of deployed agents.
- Contribute to multi-agent frameworks (e.g., cooperative or competitive agents).
- Work with research teams to experiment with reasoning, RAG (retrieval-augmented generation), and self-improvement loops.
- Write clean, scalable code and maintain testable agent pipelines.
Skills and Qualifications:
- Bachelors or Masters degree in Computer Science, AI, or related field (or equivalent experience).
- Strong proficiency in Python and experience with LLM frameworks(LangChain, LlamaIndex, OpenAI API, CrewAI, etc.).
- Experience with vector databases (Pinecone, Weaviate, FAISS, etc.) for retrieval and memory.
- Familiarity with prompt engineering, function calling, and tool orchestration.
- Knowledge of reinforcement learning, planning, or multi-agent systems a plus.
- Strong understanding of software engineering principles and API design.
- Experience deploying models using cloud infrastructure (AWS, GCP, Azure, or local inference).
- Excellent problem-solving, collaboration, and communication skills.
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