Job Description
As a Senior Analyst/APM, you will play a crucial role in designing and implementing cutting-edge AI solutions. Your primary focus will be on developing multi-agent systems using Large Language Models (LLMs) and integrating various APIs and tools. You will be responsible for optimizing performance through reinforcement learning and memory-driven architectures, ensuring our AI agents can reason, make decisions, and automate tasks effectively.
Responsibilities
- Design and Develop AI Agents: Build intelligent, autonomous agents leveraging LLMs, memory frameworks, and multi-agent coordination systems (e.g., LangChain, CrewAI, AutoGen).
- Integrate APIs and Tools: Connect agents with third-party APIs, knowledge bases, and internal systems to enable dynamic data access and real-time task execution.
- Optimize Agent Performance: Apply reinforcement learning, context management, and retrieval-augmented generation (RAG) techniques to enhance reasoning and accuracy.
- Develop End-to-End Pipelines: Create scalable, production-ready pipelines for AI agent deployment, monitoring, and continuous improvement.
- Collaborate with Cross-Functional Teams: Partner with product managers, ML engineers, and domain experts to translate business use cases into functional agentic systems
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- 4+ years of experience in AI/ML or software development with hands-on exposure to LLMs.
- Strong proficiency in Python and experience with AI frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.
- Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and vector databases (Pinecone, Chroma, FAISS).
- Knowledge of agent orchestration, prompt engineering, and context memory management.
- Familiarity with cloud environments (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
