AI Software Engineer at Genia enhancing productivity through AI implementations. Responsible for developing scalable solutions in data, AI, and BI workflows.
About the role
- Software Engineer designing AI systems for biopharmaceutical and healthcare industries. Collaborating with experts and deploying advanced AI solutions.
Responsibilities
- Design, develop, and deploy robust AI‑powered applications with a focus on agentic and multi‑modal AI systems
- Architect scalable, production‑grade software using modern programming languages (Python preferred) and AI/ML frameworks such as PyTorch
- Deployment and monitoring in cloud environments (AWS preferred)
- Collaborate closely with AI researchers, data scientists, software engineers, 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 across the GenAI platform
- Stay current with advancements in generative AI, agentic systems, LLMs, and cloud engineering, helping drive adoption of new technologies
- Contribute to technical roadmaps, architectural decisions, and cross‑functional initiatives aligned with business goals
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 3+ years of professional software engineering experience, with a proven track record of building and deploying AI/ML‑driven systems
- Strong proficiency in Python and hands‑on experience with modern AI/ML frameworks (PyTorch or TensorFlow)
- Experience or strong interest in agentic AI, retrieval‑augmented generation (RAG), vector databases, and tools such as LlamaIndex
- Strong experience developing and maintaining Python‑based APIs (FastAPI preferred)
- Hands‑on experience deploying and operating backend services in Kubernetes‑based environments
- Experience with cloud‑based AI platforms, including Amazon SageMaker and Amazon Bedrock
- Solid understanding of cloud‑native architectures and DevOps practices (AWS + GitLab CI/CD preferred)
- Excellent problem‑solving, communication, and collaboration skills
- Strong commitment to code quality, security, scalability, and performance
- Passion for innovation and staying current with emerging AI technologies.
Benefits
- Medical, dental, and vision insurance starting Day 1
- Attractive PTO plan
- Remote and hybrid work options
- Engaging employee programs
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