onsite
AI Engineer Generative AI & Integration
AI Engineer
Design, develop, and deploy AI agents and generative AI solutions, integrating them via robust APIs and automating workflows on cloud platforms.
About the role
Key Responsibilities
- Architect and implement generative AI models and AI agents to solve business problems.
- Develop and maintain API layers that expose AI capabilities to internal and external systems.
- Build automated workflows that orchestrate AI inference, data preprocessing, and result delivery.
- Deploy, monitor, and scale AI services on cloud infrastructure (e.g., AWS) ensuring reliability and performance.
- Collaborate with governance teams to embed AI ethics, security, and compliance controls into production pipelines.
Requirements
- Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Hands‑on experience building generative AI applications (LLMs, diffusion models, etc.).
- Proven ability to design, document, and consume RESTful APIs for AI services.
- Experience automating AI workflows using tools like Airflow, Prefect, or serverless functions.
- Familiarity with cloud platforms (AWS) and containerization/orchestration (Docker, Kubernetes).
Skills
pythongenerative aimachine learning