Senior AI Python Solutions Engineer

Socket.dev; Dallas (TX); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Advancement opportunities

Dallas, TX location

Job summary

Socket.dev in Dallas, TX is seeking a Senior AI / Python Solutions Engineer to build scalable, production-grade AI applications using modern Python technologies, LLMs, Agentic AI frameworks, and cloud-native architectures.

The role focuses on designing AI solutions, developing intelligent agents, integrating enterprise APIs, and deploying conversational AI in production environments with a hybrid work setup.

Qualifications

• 8+ years of software development experience.
• 5+ years of hands-on Python development.
• 3+ years of AI / Machine Learning development.
• 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.

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.

Skills

Python

AI/ML

Distributed systems

Microservices

LLMs

Vector databases

REST/SOAP

Cloud-native

Caching Redis

Agentic AI

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.