Senior AI Python Solutions Engineer

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Senior AI Python Solutions Engineer

Unknown

HybridPosted July 29, 2026

Unknown

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

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