Senior embedded engineer developing safety - critical ECU firmware for Hexagon Mining’s digital mining and vehicle - control technologies. Designing, testing, and commissioning embedded systems.
About the role
- Software Engineer at Clario developing AI-powered solutions in healthcare. Designing and deploying advanced AI systems in a collaborative environment with a focus on innovation.
Responsibilities
- Design, develop, and deploy robust AI-powered applications, with a focus on agentic and multi-modal AI systems
- Architect scalable, production-grade software solutions using modern programming languages (Python preferred) and AI/ML frameworks (e.g., PyTorch)
- Lead the end-to-end development lifecycle: from ideation and prototyping to deployment and monitoring in cloud environments (AWS preferred)
- Collaborate closely with AI researchers, scientists, software developers, and product managers to translate business needs into technical solutions
- Build and optimize data pipelines for training, evaluating, and serving AI models
- Implement best practices for code quality, testing, CI/CD, and DevOps within the GenAI team
- Mentor and guide junior engineers, fostering a culture of technical excellence, innovation, and continuous learning
- Stay current with advancements in AI, agentic systems, cloud engineering, and drive their adoption within the team
- Contribute to strategic planning, technical roadmaps, and cross-functional initiatives that align with organizational goals
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 5+ years of experience in software engineering, with a strong track record of building and deploying AI/ML solutions
- Deep proficiency in Python and experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
- Interest or experience with agentic AI, retrieval augmented generation, vector databases, and LlamaIndex
- Strong proficiency developing and maintaining APIs in Python (FastAPI)
- Hands-on experience with deploying and operationalizing backend services in a Kubernetes-based environment
- Hands-on experience with model serving in cloud environments, with technologies such as Amazon Sagemaker and Bedrock
- Strong understanding of cloud-based architectures and DevOps practices (AWS and GitLab CI/CD experience preferred)
- Proven ability to lead complex technical projects and mentor other engineers
- Excellent problem-solving, communication, and collaboration skills
- Commitment to code quality, security, scalability, and performance
- Passion for innovation and staying at the cutting edge of AI technology
Benefits
- Medical, dental, and vision insurance starting Day 1
- Attractive PTO plan
- Remote and hybrid work options
- Engaging employee programs
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