Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Best Practices, Business Operations, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Docker, Finance, MCP - Microsoft Certified Professional, Performance Analysis, Performance Tuning/Optimization, Problem Solving Skills, Production Support, Proof of Concept, Python Programming/Scripting Language, Requirements Management, SQL (Structured Query Language), Software Administration, Software Development, Systems Analysis, Team Player, Test Automation, Testing
Job Description: Developer-Full Stack Specialist
Location: 5 days on-site in McLean, VA
Must Have Qualifications:
7 years of development experience, strong Python expertise, and at least 1 year of AI experience, including building AI agents and working in agentic AI development environments. Required experience with AWD, Docker, LLMs, Rest APIs, and SQL. Nice to have skills in Advanced SQL, Angular, Java, Jenkins, Kafka and Spring.
Required Experience & Education:
- 5 years of professional software development experience.
- 1 years of hands-on experience building and deploying agentic AI/LLM applications in Production.
- Bachelor s degree in computer science or related field.
Qualifications:- Strong analytical/problem-solving skills.
- Strong Python development skills (build, test, deploy) with CI/CD and Docker on AWS.
- Experience building agentic AI solutions using LangChain/LangGraph and integrating tools via MCP (Model Context Protocol).
- Experience integrating LLM workflows with APIs and data sources (SQL; RAG/embeddings a plus).
- Clear communicator; collaborative, open-minded team player.
- Experience with AI-assisted coding tools (e.g., VS Code, Amazon Q/Kiro, Copilot or similar).
- Nice to have: Trading or Financial Industry backg
Responsibilities:- End-to-end software development: including analysis, design, development, automated testing, deployment, and maintenance using industry best practices and security standards.
- Performance optimization: analyze system performance, identify bottlenecks, and implement solutions to enhance application efficiency and scalability.
- Collaborative solution delivery: partner with business stakeholders to gather requirements, leverage proof-of-concepts for technical decisions, and implement solutions with crossfunctional teams.
- Production support and maintenance: support applications you build across environments, resolve critical issues, and fulfill ad hoc requests to ensure seamless business operations.
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.