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.