Conversational AI

5 days ago

Noida, Uttar Pradesh, India Iris Software Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Desired Qualifications:

  • 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: B.Tech or MCA

*Mandatory Competencies*

Database - Database Programming - SQL

Cloud - AWS - Dynamo DB, Amazon Aurora, Amazon RDS

Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight

Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing)

Data Science and Machine Learning - Data Science and Machine Learning - Gen AI

User Interface - Angular - Angular 2+

Data Science and Machine Learning - Data Science and Machine Learning - AI/ML

Beh - Communication and collaboration

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