- Project leadership: manage major technical initiatives involving cross-functional teams, delegating work effectively while maintaining high standards through technical review.
- Mentor and guide: provide technical coaching and training to engineers across the organization, explaining complex AI concepts to stakeholders at all levels.
- Influence and collaborate: work closely with product teams, customers, and vendors to translate business requirements into innovative technical solutions.
What Were Looking For:
- Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines. However, this is not a hard requirement as we recognize there are many diverse paths into software careers.
- 8+ years of software engineering experience with demonstrated expertise in AI/ML systems
- 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 leading complex technical projects and managing technical deliverables.
- 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.
Desirable Experience or an Interest in Learning:
- 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.
If you are excited about pushing the boundaries of conversational AI and agentic intelligence while leveraging strong software skills, we encourage you to apply and be part of our team.