We are seeking a forward-thinking AI Engineer to lead the development of a Proof of Concept (PoC) for intelligent AI agents capable of processing and interacting with documents, emails, and proxy cards. This role involves designing autonomous agents using LLMs, NLP, and decision-making frameworks to automate workflows and enhance data-driven operations.
Key Responsibilities :
- Design & Build AI Agents using LLMs (e.g., GPT), NLP pipelines, and planning algorithms for document / email parsing and decision-making.
- Develop PoC systems that extract, interpret, and act on structured and unstructured data from emails, proxy cards, and business documents.
- Integrate agents into existing workflows or APIs (e.g., Outlook, SharePoint, CRM systems).
- Collaborate with cross-functional teams to align PoC goals with business outcomes.
- Implement feedback loops, human-in-the-loop strategies, and safety mechanisms.
- Monitor agent performance and iterate based on KPIs like accuracy, latency, and task completion rate.
Required Skills & Qualifications :
Bachelor's or Master's in Computer Science, AI, Machine Learning, or related field.Strong experience with Python, TensorFlow, PyTorch, and LangChain or similar frameworks.Hands-on experience with NLP, document classification, email parsing, and retrieval-augmented generation (RAG).Familiarity with agent frameworks (e.g., AutoGPT, CrewAI, ReAct).Experience with vector databases, prompt engineering, and LLM fine-tuning.Understanding of data pipelines, API integration, and cloud deployment.