Nexxa.ai
Applied AI Engineer
Toronto - Canada · Senior
Sponsorship not specifiedDetected 35 days ago
JavaScriptTypeScriptPythonGoAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningTensorFlowPyTorchComputer VisionLLMsRAGCommunication
About the role
- You'll embed deeply with customer teams, translating real-world challenges into production-ready systems that leverage Generative AI, Computer Vision, and Machine Learning.
- This role is a blend of software engineering, ML engineering, architecture, and consulting.
- This position requires frequent travel to customer sites.
Responsibilities
- Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration.
- Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.
- Build reliable, scalable software integrations using APIs, cloud services, and containerized systems.
- Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction.
Requirements
- 5-10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar.
- Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages.
- Direct experience with Generative AI (LLMs, multimodal models) and applying them to real-world problems.
- Strong knowledge of ML frameworks (PyTorch, TensorFlow, OpenCV, etc.).
- Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Willingness and ability to travel frequently.
- Prior experience in consulting, technical solutions, professional services, or customer-embedded technical roles.
- Experience with vector databases, embedding pipelines, or retrieval-augmented generation (RAG).
- Experience in startup or high-growth environments.
- Hands-on experience with Machine Learning, including training, fine-tuning, evaluating, or deploying models.
- Exposure to Computer Vision techniques (detection, segmentation, OCR, embeddings, multimodal pipelines).
- Excellent communication skills with both technical and non-technical audiences.
- Comfort leading customer-facing engagements and guiding stakeholders through ambiguity.
- Preferred
- Experience building APIs, microservices, or distributed systems.
Compensation
- Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.
- If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect.
Benefits
- Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources.
Company info
- Be part of a team that values innovation, discipline, and continuous improvement.
- We're looking for a Applied AI Engineers to work as forward deployed directly with customers lead the end-to-end delivery of high-impact technical solutions.
- Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements.
- You'll design and deploy solutions, integrate models, build custom workflows, and guide customers through successful implementation.
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This listing is sourced directly from Nexxa.ai's careers page and normalized into a canonical job model.