Senior Python Backend Engineer developing scalable cloud - native Python backend services for healthcare technology impacting clinical trials. Collaborating with engineers for cloud infrastructure and database management.
About the role
- Software Engineer developing AI-powered solutions to transform biopharmaceutical and healthcare industries. Collaborating with experts to build advanced AI systems and drive 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
- 2+ years of software engineering experience with a strong track record of building cloud solutions (AWS or similar platforms)
- Strong proficiency in Python or other programming languages such as Go
- Experience developing and maintaining APIs in Python using frameworks such as FastAPI
- Hands-on experience deploying and operating backend services in Kubernetes-based environments
- Experience working with relational databases and vector databases
- Experience serving and operationalizing models in cloud environments using technologies such as Amazon SageMaker or Bedrock
- Strong understanding of cloud architectures and DevOps practices (AWS and GitLab CI/CD preferred)
- Proven ability to lead complex technical projects and mentor other engineers
- Excellent problem-solving, communication, and collaboration skills
- Strong commitment to code quality, security, scalability, and performance
- Passion for innovation and staying current with emerging technologies.
Benefits
- Flexible work arrangements
- Professional development opportunities
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