Lead Research Engineer, AI

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

About the Role:

In this opportunity as a Lead Research Engineer, you will: 

· Be a Leader: Provide technical leadership partnering with other engineers and applied scientists to develop and improve methodology and evolve the technology stack.

· Develop and Deliver: Applying modern AI development practices, you will be involved across the software development lifecycle, building, testing and delivering high-quality solutions.

· Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.

· Be an Agile Person:  With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions. 

· Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries. 

· Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.  

About You:

· Education & Experience:

· Bachelor’s degree in Computer Science or a related field.

· 8+ years of software engineering experience, including 4+ years of NLP and/or AI engineering

· Proven experience leading technical workstreams and mentoring engineers in fast-paced, cross-functional environments.

· Technical Expertise:

· Deep proficiency in Python and its ML/NLP ecosystem (e.g., PyTorch, Jax, NumPy, Pandas, scikit-learn, PyTorch, spaCy, SentenceTransformers).

· Strong understanding of modern ML techniques and the ability to apply, integrate, and deploy them into real-world systems.

· Familiarity with empirical methodology and efficient AI Evaluation, agentic design and context engineering.

· Experience with cloud-native development and infrastructure (AWS, Azure, or similar), automation, and DevOps practices.

· Mindset & Collaboration:

· Demonstrated ability to move fast, prioritize impact, and deliver high-quality results in ambiguous or evolving contexts.

· Comfortable navigating and communicating across technical and non-technical teams to remove blockers and accelerate progress.

· Passion for innovation, continuous learning, and applying emerging technologies to solve complex problems.