We’re looking for a Senior Python AI Engineer having 6+ years of experience, with a focus on generative AI. The candidate will collaborate with AI researchers and cross-functional teams to integrate, optimize, and maintain generative AI solutions—ensuring they deliver tangible business value in a reliable, scalable manner.
Key Responsibilities
Use generative AI APIs, pre-trained models, and frameworks (e.g., OpenAI, Hugging Face) to build solutions that meet defined business and product needs.
Develop and refine prompt engineering strategies to optimize model outputs for specific use cases.
Transform proofs-of-concept into stable production code, ensuring solutions are well-structured, maintainable, and thoroughly tested.
Establish robust monitoring and logging to track model performance and quickly address issues in real-world settings.
Optimize AI pipelines for performance, cost-efficiency, and reliability—implement caching, load balancing, and resource management best practices.
Collaborate with DevOps teams to containerize and orchestrate AI services using tools like Docker and Kubernetes.
Work closely with data scientists, software engineers, and product managers to gather requirements, streamline development, and ensure smooth integration with existing systems.
Serve as the generative AI subject matter expert, advising stakeholders on capabilities, limitations, and best practices.
Adhere to company policies for data governance, security, and compliance in the use of generative AI tools.
Contribute to documentation and guidelines that codify best practices for safe, ethical AI deployments.
Stay updated on emerging generative AI technologies, frameworks, and industry trends.
Proactively identify new opportunities to leverage generative AI for operational efficiencies or innovative products.
Required Qualifications
6+ years of Python development in a production environment, preferably involving AI or data-driven applications.
Hands-on experience with generative AI frameworks and APIs (e.g., OpenAI GPT, Hugging Face Transformers), including prompt engineering or fine-tuning techniques.
Experience with SQL alchemy, postgres, AWS SDKs
Familiarity with CI/CD pipelines (GitLab, GitHub Actions, Jenkins, etc.) and containerization/orchestration tools (Docker, Kubernetes).
Strong problem-solving skills with an aptitude for performance optimization and building scalable systems.
Excellent collaboration and communication abilities, comfortable working with cross-functional teams and non-technical stakeholders.
Experience with cloud platforms (AWS) is a plus, especially in deploying AI workloads.