Responsibilities
- Design and execute POCs that push the boundaries of conversational AI and virtual agent capabilities, contributing to organizational growth through creative technical solutions.
- Develop, maintain, enhance, and evolve our Virtual Agents engine, applying advanced AI/ML concepts to solve extremely complex problems in natural language understanding and generation.
- Help deliver our roadmap toward Agentic AI, translating cutting-edge research into practical and scalable solutions.
- Own technical initiatives involving cross-functional teams, delegating work effectively while maintaining high standards through technical review.
- Influence and collaborate: work closely with product teams, customers, and vendors to translate business requirements into innovative technical solutions.
Requirements
- Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines.
- 5+ years of software engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce requirement by 2--4 years).
- Deep expertise in conversational AI, NLP, and dialogue systems with proven track record of delivering production systems.
- Strong software engineering fundamentals including system design, data structures, algorithms, and software architecture.
- Experience in working on complex technical projects and delivering technical outcomes.
- Excellent communication skills with the ability to influence and explain complex concepts across organizational levels.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Independent judgment in developing novel approaches to challenging AI problems.
Nice to Have
- Experience with Large Language Models (LLMs) and their application in conversational systems. Hand-on experience with fine-tuning, and prompt engineering.
- Knowledge of multi-agent systems/frameworks and agentic AI architectures.
- Familiarity with voice AI technologies and multimodal conversational interfaces.
- Experience with MLOps and deploying AI systems at scale.
- Background in reinforcement learning for dialogue optimization.
- Understanding of enterprise AI governance and responsible AI practices.
- Interest in emerging areas like tool-using AI agents and autonomous decision-making systems.
- Experience with cloud platforms (particularly AWS) and AI/ML technologies.
- Experience with vector databases and retrieval-augmented generation (RAG).
- Contributions to open-source AI projects, research publications, or patents in AI/ML.
Benefits
- Great benefits and perks like larger tech companies
- Independence to make a larger impact on the company and take ownership of their work.
Additional Information
- If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
