Conversational Ai

**Posted On**:15 Jul 2025

**Location**: Noida, UP, India

**Company**:Iris Software

**Why Join Us?**
Are you inspired to grow your career at one of **India’s Top 25 Best Workplaces in IT industry?**Do you want to do the best work of your life at one of the **fastest growing IT services companies**? Do you aspire to thrive in an award-winning work culture that **values your talent and career aspirations**? It’s **happening right here** at Iris Software.

**About Iris Software**
At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

**Working at Iris**
**_Be valued, be inspired, be your best._**
At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.
Our employee value proposition (EVP) is about “Being Your Best” - as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version.

**Desired Qualifications**:

- 10+ years of industry experience
- 4+ years’ experience developing and deploying **conversational virtual assistants**:

- 4+ years’ hands-on experience utilizing platforms like **Amazon Lex, Google Dialogflow, IBM Watson, Microsoft Bot Framework, Kore.AI, Rasa, or Clinc**:

- Fluency in writing code in **Python, JavaScript, C++** or some other high-level language
- Experience designing **multi-agent collaboration workflows** (e.g., planner-executor, tool-selector).
- Familiarity with **agent memory types** (episodic, declarative, semantic) and persistent context handling.
- Experience building **observability dashboards and metrics for LLM/agent execution** (e.g., prompt logs, traces, outcomes).
- Ability to translate user and business requirements into high-performing agent behaviors.
- Passion for emerging trends in Agentic AI, autonomous reasoning, tool augmentation, and GenAI-driven automation.
- Knowledge and understanding of Artificial Intelligence (AI) disciplines such as **Machine Learning or Natural Language Processing**:

- Solid understanding of conversational dialog systems, natural language processing (NLP) fundamentals, and machine learning
- Familiar with utterances, entities, intents, classification, annotation, business rules and APIs
- Experience designing, developing and deploying large training data sets
- Strong understanding on data management and annotation processes
- 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 Agentic AI workflows that autonomously orchestrate tasks using tool calling, memory, planning, and execution capabilities.
- Architect end-to-end Conversational AI solutions integrated with LLMs, using platforms such as Dialogflow, Rasa, Lex, and others
- Partner with various partners including PM's, PO's UX designers and content strategist to plan, validate and execute the model and implementation of conversational experiences within the virtual assistant
- Develop and enhance model training and optimization processes with a focus on driving scalability and automation
- Develop tool schemas, action mappers, and execution logic to enable intelligent decision-making across diverse APIs and data sources.
- Lead model analysis via testing, misclassification prioritization, root cause assessment
- Define and implement the "intents" and "entities" that define the conversation interaction, along with the associated business rules, logic and API interactions that are required for sophisticated interactions
- Responsible for building human language data sets to train machine learning models driving the virtual assistant.
- Work closely with other members of the product team and technology partners to identify enhancements to the conversational experiences
- Act as a liaison between our AI Product team and Technology to ensure that our Virtual Assistant delivers intelligent and intuitive conversations, resulting in great customer experience

**Education Qualification**:B.Tech or MCA

**Mandatory Competencies**:

- Data Science and Machine Learning - Data Science and Machine Learning - Gen AI
- Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot)
- Data Science and Machine Learning - Data Science and Machine Learning - Amazon Machine Learning
- User Interface