Senior AI Analyst

Senior Analyst

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).