Python Developer

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. Benefits: HYBRID Competitive salary Opportunity for advancement Flexible work from home options available. 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. #J-18808-Ljbffr