Senior AI Python Solutions Engineer
HybridPosted July 29, 2026
About the role
Senior AI Python Solutions Engineer to design, develop, and deploy production-grade AI applications using modern Python technologies, large language models (LLMs), agent-based AI frameworks, and cloud-native architectures. The ideal candidate will design AI solutions, develop intelligent agents, integrate enterprise APIs, and deploy conversational AI applications in production environments.
Responsibilities
Qualifications:
- Design, develop, and deploy enterprise AI applications in Python.
- Build scalable AI services leveraging machine learning, Generative AI, and LLMs.
- Develop intelligent multi-agent and agent-to-agent communication solutions.
- Design Retrieval-Augmented Generation (RAG) applications using vector databases.
- Build AI-powered chatbots, virtual assistants, and conversational AI platforms.
- Develop dynamic form-based applications for intelligent user interactions.
- Design and consume RESTful APIs and SOAP web services.
- Integrate enterprise systems, databases, and third-party services.
- Design scalable backend services and microservices architectures.
- Optimize application performance using Redis caching.
- Collaborate with Data Scientists, Product Managers, and Engineering teams.
- Ensure solutions are secure, scalable, maintainable, and production-ready.
- 8+ years of software development experience.
- 5+ years of hands-on Python development.
- 3+ years AI/ML development.
- Strong experience building production-grade AI applications.
- Experience designing distributed AI systems and microservices.
- Experience integrating enterprise APIs and th
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