Conversational AI - Lead

• 8+ years of experience in software development, scripting, and/or automation, with a strong focus on

  Conversational AI and Intelligent Automation.

• 2+ years of hands-on experience

  building LLM-based GenAI applications

  using frameworks like

  LangChain, LlamaIndex, and vector databases

  .
• Solid experience in

  Python programming and modern front-end technologies

  (e.g., Angular, React, Streamlit).
• Proficiency in

  cloud services, especially AWS and Microsoft Azure

  ; experience with

  Copilot stack or OpenAI integrations.

• Strong understanding of

  NLP concepts, dialog systems, prompt engineering

  , and multi-turn conversational design.
• Experience with

  database design and querying (MongoDB, MySQL, RDBMS) and working knowledge of SQL.

• Familiarity with Agile methodologies and tools such as JIRA.
• Must come financial services/capital markets/investment banking
• Excellent Analytical skills
• Great interpersonal and communication skills
• Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work)

Responsibilities:

• Design and implement end-to-end Conversational AI solutions using AWS, Microsoft Azure (including Copilot stack), and OpenAI APIs.
• Lead development of intelligent virtual agents using Generative AI techniques, including Retrieval-Augmented Generation (RAG) and Agentic AI architectures.
• Build and deploy advanced bot solutions using Python, LLM frameworks (LangChain, LlamaIndex), and front-end tools like Streamlit or Angular.
• Integrate conversational flows with enterprise APIs, databases, and third-party tools using Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Speech APIs, Spell Check, etc.).
• Design and optimize reusable prompt templates, tool definitions, and execution workflows in multi-agent or tool-augmented environments.
• Lead quality assurance by writing unit tests, reusable test cases, and participating in UAT and product testing cycles.
• Collaborate with product managers, testers, and business teams to ensure alignment with delivery goals.
• Coach and mentor junior team members on Conversational AI, Generative AI, and automation frameworks.
• Provide technical leadership and communicate project status, risks, and mitigation plans to stakeholders and leads.
• Continuously improve internal tools and developer processes; recommend best practices and contribute to platform scalability.
• Stay updated on emerging AI/ML trends and pursue certifications in relevant technologies.

Education Qualification: