Senior AI Python Solutions Engineer

Job Description

Job Description

Benefits:

• HYBRID
• Competitive salary
• Opportunity for advancement

Senior AI / Python Solutions Engineer
Location: Dallas, TX (Hybrid)
Duration: 12+ Months (Long-Term)
Experience: 8+ Years
Interview: Virtual + In-Person
Work Authorization: Authorized to work in the U.S.

We are seeking a highly skilled Senior AI / Python Solutions Engineer to build scalable, production-grade AI applications using modern Python technologies, Large Language Models (LLMs), Agentic AI frameworks, and cloud-native architectures. The ideal candidate should have strong experience designing AI solutions, developing intelligent agents, integrating enterprise APIs, and deploying conversational AI applications in production environments.

Primary Responsibilities
* Design, develop, and deploy enterprise AI applications using Python.
* Build scalable AI services leveraging Machine Learning, Generative AI, and LLMs.
* Develop intelligent multi-agent and Agent-to-Agent (A2A) 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 architecture.
* Optimize application performance using Redis caching.
* Collaborate with Data Scientists, Product Managers, and Engineering teams.
* Ensure solutions are secure, scalable, maintainable, and production ready.

Required Qualifications
* 8+ years of software development experience.
* 5+ years of hands-on Python development.
* 3+ years of AI / Machine Learning development.
* Strong experience building production-grade AI applications.
* Experience designing distributed AI systems and microservices.
* Experience integrating enterprise APIs and third-party platforms.
* Hands-on experience with vector databases and semantic search.
* Strong understanding of cloud-native application development.
* Experience deploying scalable backend services.

Preferred Qualifications
* Experience with Agentic AI architectures.
* Experience with MCP (Model Context Protocol).
* Experience with Hugging Face Transformers.
* Experience with Kafka or RabbitMQ.
* Experience with enterprise AI platforms and LLM integrations.
* Knowledge of AI security, observability, and performance optimization.

Required Soft Skills
* Excellent problem-solving and analytical skills.
* Strong communication and stakeholder management.
* Ability to work in Agile development environments.
* Experience collaborating with cross-functional teams.
* Self-driven with the ability to lead technical initiatives.

Flexible work from home options available.