Développeur Java principal concevant des systèmes backend pour les logiciels infonuagiques IA de Tecsys. Mentorant les développeurs et améliorant la performance, la sécurité et la fiabilité des chaînes d'approvisionnement.
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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