Conversational AI Designer / Engineer
First seen by Alion on Oct 16, 2026.
About the Role :
We are looking for a Conversational AI Designer / Engineer to help build and optimize highly human-like AI voice agents for BFSI and enterprise use cases. This is a hands-on role at the intersection of Generative AI, LLMs, Prompt Engineering, NLP, Voice AI and Conversation Design.
Key Responsibilities :
- Design and develop conversational flows and dialogue strategies for AI voice agents.
- Create, test and optimize LLM prompts to improve accuracy, relevance, consistency and naturalness.
- Design conversation logic for different user intents, scenarios and edge cases.
- Analyze AI-generated responses and conversation transcripts to identify hallucinations, incorrect intent handling, context loss and guideline violations.
- Conduct prompt testing, experimentation and A/B testing to improve AI performance.
- Build and use evaluation frameworks to measure conversational AI quality and identify areas for improvement.
- Analyze user feedback, conversation data and performance metrics to continuously refine AI agents.
- Collaborate closely with AI/ML Engineers, AI Researchers and Product Managers to improve conversational AI systems.
- Document prompt engineering techniques, conversational design patterns and best practices.
- Stay updated with developments in LLMs, Generative AI, NLP and Conversational AI.
Required Skills :
- Strong understanding of Generative AI, LLMs and Prompt Engineering.
- Knowledge of Conversational AI and Conversation Design.
- Understanding of NLP/NLU, intent recognition and contextual conversations.
- Experience with or strong understanding of AI agents, chatbots or voice AI.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to experiment, analyze results and iterate quickly.
- Strong attention to detail and ownership mindset.
Tech Stack :
Prompt Engineering, Conversational AI, Generative AI, LLM, NLP, Voice AI, Conversation Design, AI Agents, RAG, LLM Evaluation, Chatbots, Python.
Educational Background :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, NLP, Computational Linguistics, English, Journalism, Communication or a related field.
Why Join Us?
- Work on production-grade Conversational AI and Voice AI products.
- Solve challenging problems involving LLMs, NLP and Generative AI.
- Work closely with AI researchers, engineers and product teams.
- Get significant ownership and exposure in a fast-growing AI startup.
- Build AI solutions for leading BFSI and enterprise customers.
Skills
Conversational AI, Prompt Engineering, Generative AI, LLM, NLP, Conversation Design, NLU/NLG