Senior Python Developer - AI & Full Stack Specialist

McLean, VA

June 23, 2026

Only accepting local candidates immediately local to the Washington, DC area.

We are seeking a highly skilled Senior Python Developer with expertise in modern software engineering and production-grade AI application development. This role is ideal for a hands-on engineer who excels at designing, building, and supporting scalable Python-based solutions while leveraging emerging AI technologies, including agentic workflows and large language models (LLMs).

The successful candidate will have deep Python development experience, strong cloud and DevOps skills, and a passion for delivering high-quality, maintainable software solutions in a fast-paced environment.

Required Experience & Education

• 5+ years of professional software development experience, with a primary focus on Python.
• 1+ years of hands-on experience building, deploying, and supporting AI/LLM-based applications in production.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.

Required Qualifications

• Strong Python skills (architecture, APIs, testing, packaging, performance).
• Experience with AWS, Docker, and cloud-native development.
• Proficiency in CI/CD, automated testing, and modern development practices.
• Experience building AI/LLM solutions with LangChain, LangGraph, and MCP.
• Knowledge of REST APIs, async programming, distributed systems, SQL, and enterprise integrations.
• Familiarity with vector databases, embeddings, and RAG is a plus.
• Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience in financial services or capital markets.
• Knowledge of Kafka/event-driven architectures.
• Experience with FastAPI, Flask, or Django.
• React or Angular experience.
• Java or other enterprise languages.
• Familiarity with AI infrastructure and vector databases.

Responsibilities

• Design, build, test, deploy, and maintain scalable Python applications and APIs.
• Develop AI/LLM solutions using LangChain, LangGraph, and MCP.
• Build cloud-native applications with AWS, Docker, and CI/CD.
• Integrate APIs, databases, and enterprise systems.
• Optimize performance, reliability, and scalability.
• Collaborate with stakeholders and provide production support.

Keys to Success

• Strong Python engineering and software design.
• Ownership from development through production.
• Adaptability in fast-paced environments.
• Excellent problem-solving and communication skills.