Aman S.
Senior AI Developer
AI Developer | Generative AI | Agentic AI | RAG | LLM | Chat & Voice Bots
AI Developer with 4+ years of experience in software and AI development, with a focus on Generative AI and intelligent applications.
With Aegis Softtech Since: Jan 2022
No. of Projects: 18+ Projects
Language: English – Fluent | Kannada – Fluent
Professional Summary
Experienced in building AI solutions using Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI chatbots, and voice bots. Skilled in developing applications that can understand user questions, work with business data, retrieve relevant information, and provide useful responses.
Hands-on experience in developing AI-powered solutions from requirement understanding to development, testing, and deployment. Comfortable working with business teams and technical teams to convert business problems into practical AI solutions.
Core Technical Skills
Generative AI
Agentic AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Chatbots
Voice Bots
Conversational AI
Prompt Engineering
AI Application Development
Document & Knowledge Search
AI-powered Question Answering
API Integration
AI Model Integration
Software Development
Testing & Debugging
AI Projects
Project 1: AI Knowledge Assistant
| Role | AI Developer |
| Technology Focus | Generative AI, LLM, RAG, AI Chatbot |
| Project Overview | Developed an AI-powered knowledge assistant that allows users to ask questions using normal language and receive answers based on company documents and internal knowledge. The solution helps users find information without manually searching through multiple documents. |
Key Responsibilities
- Developed the AI chatbot for user interaction.
- Implemented a RAG-based approach to retrieve relevant information from documents.
- Connected the application with an LLM to generate responses based on retrieved information.
- Worked on document processing and knowledge retrieval.
- Created prompts to improve answer quality and consistency.
- Designed conversation flows for different types of user questions.
- Integrated the AI solution with application APIs.
- Tested responses against different user questions and scenarios.
- Improved the solution based on testing and user feedback.
Key Features
- Natural language question answering
- Document-based knowledge search
- Context-aware responses
- Conversational chat
- Relevant information retrieval
- AI-generated answers based on available business knowledge
Project 2: AI Voice & Task Assistant
| Role | AI Developer |
| Technology Focus | Agentic AI, LLM, Voice Bot, Conversational AI |
| Project Overview | Developed an AI-powered voice and chat assistant that allows users to interact with the system using natural language. The assistant can understand user requests, identify the required action, and follow predefined workflows to complete tasks or provide information. |
Key Responsibilities
- Developed conversational flows for voice and chat interactions.
- Integrated an LLM to understand user requests and generate responses.
- Worked on AI agent workflows for handling different user tasks.
- Connected the AI assistant with APIs to retrieve or process information.
- Designed prompts and instructions for different tasks.
- Worked on handling follow-up questions and maintaining conversation context.
- Tested voice and chat interactions across different scenarios.
- Improved responses and conversation flows based on testing results.
- Supported integration of the AI assistant with existing applications.
Key Features
- AI-powered chat interaction
- Voice-based interaction
- Natural language understanding
- AI agent workflows
- API-based task execution
- Conversation context
- Automated responses
- Business process assistance
Professional Experience
Aegis Softwares
Senior AI Developer : June 2025 – Present
- Developing AI-powered applications using Generative AI and Large Language Models.
- Building AI agents that can understand user requests and perform tasks based on defined workflows.
- Developing RAG-based solutions to allow AI applications to search and use business documents and knowledge.
- Working on AI chat and conversational solutions for business use cases.
- Developing and integrating AI-powered voice bot capabilities.
- Designing prompts and conversation flows to improve the quality and relevance of AI responses.
- Integrating AI capabilities with existing applications and APIs.
- Working with development teams to build, test, and improve AI features.
- Troubleshooting AI application issues and improving response quality.
- Supporting the complete development lifecycle from requirement understanding to implementation and testing.
Tata Elxsi
October 2024 – May 2025
- Developed AI-based applications using Generative AI and LLM technologies.
- Worked on conversational AI and chatbot solutions.
- Developed RAG-based solutions for retrieving relevant information from business documents.
- Created prompts and workflows for AI-based applications.
- Integrated AI services with application APIs.
- Worked with development teams to test and improve AI solutions.
- Analyzed business requirements and converted them into practical AI features.
Engineer
October 2022 – September 2024
- Developed software applications and supported AI-focused development initiatives.
- Worked on application development, testing, debugging, and integration.
- Built and integrated APIs for application functionality.
- Worked with different development teams to understand requirements and deliver software features.
- Supported the development and testing of AI-related application features.
- Investigated technical issues and helped improve application reliability.
Trainee
April 2022 – September 2022
- Supported software development and testing activities.
- Learned application development practices and worked with development teams.
- Assisted with debugging, testing, and documentation.
- Gained practical experience in software development and application integration.
Professional Strengths
- Practical experience in building Generative AI applications
- Strong understanding of LLM-based applications
- Experience developing RAG-based solutions
- Experience with AI agents and task-based workflows
- Experience building chat and voice-based AI solutions
- Ability to understand business requirements and convert them into AI solutions
- Comfortable working with both technical and business teams
- Strong focus on solution quality, testing, and user experience
Education
Ajay Kumar Garg Engineering College, Ghaziabad
Master of Computer Applications (MCA), Computer Science
2019 – 2022
Birla Institute of Technology, Ranchi
Bachelor's Degree
2016 – 2019