Senior Analyst

eClerx isseeking an innovative Agentic AI Developer to design, build, and deploy autonomous AI agents capable of reasoning, decision-making, and task automation. The role involves developing multi-agent systems using LLMs, integrating APIs and tools, and optimizing performance through reinforcement learning and memory-driven architectures. The ideal candidate combines strong software engineering skills with deep knowledge of AI frameworks, prompt engineering, and agent orchestration platforms.

Work Experience

• Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field.

• 5+ 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).

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