Senior Python AI Engineer

February 21

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Syntax Technologies

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Syntax Technologies is an educational institution that specializes in providing top-tier IT certification courses, including QA Automation Testing and Data Analytics. The company focuses on making high-quality education accessible at a lower cost compared to competitors, ensuring a high return on investment for its graduates. With over 5,200 alumni and a median salary increase of $95K+, Syntax Technologies offers dedicated mentorship and ongoing community engagement to support students in achieving their career aspirations in the tech industry.

Cyber Security • SDET • Software Development Engineer in Testing • Software Testing • Automation Testing

51 - 200 employees

Founded 2017

📚 Education

☁️ SaaS

📋 Description

• Collaborate with AI researchers and cross-functional teams to integrate, optimize, and maintain generative AI solutions. • 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. • 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.

🎯 Requirements

• 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.