Senior Full Stack Developer Agentic AI

We are seeking a Senior Full Stack Developer with strong experience in AI and agentic engineering to design and build AI-powered applications that accelerate development and automate complex workflows.

This role focuses on building agent-based solutions using modern LLM architectures to support automated document generation and workflow orchestration. You will operate as a strong software developer who leverages AI tools in your development process while also integrating AI directly into the solutions you build. You will also provide business value by participating in architectural and technical discussions understanding business requirements coding as per department standards and implementing code per the CI/CD process. This is a highly influential role where youll have ample opportunity to guide the teams approach to project delivery. 

Responsibilities

• Design and develop AI-driven applications including single and multi-agent workflows
• Build and maintain full-stack solutions (frontend and backend components)
• Leverage AI tools and agentic coding practices to accelerate development
• Develop orchestration logic for agent-based systems and workflows
• Integrate LLM-based capabilities such as document processing embeddings and retrieval
• Implement best practices for AI evaluations to ensure quality and prevent regressions 
• Contribute to and maintain CI/CD pipelines and deployment processes 
• Collaborate with architects and engineering leadership on solution design and standards
• Continuously improve development practices and contribute to evolving AI engineering frameworks

Qualifications :

• 510 years of experience as a software developer using TypeScript and Python.
• Hands-on experience with AI-assisted development/agentic coding (must actively use AI in coding workflows).
• Experience building LLM-based applications including multi-agent systems or agent-based workflows (e.g. LangGraph).
• Strong understanding of CI/CD practices.
• Experience with AWS or Azure.
• Demonstrated passion for AI LLMs and emerging technologies.

Preferred Qualifications

• Experience implementing AI evaluation frameworks is highly preferred. 
• Exposure to text embeddings RAG or document-based AI workflows.
• Consulting experience or experience working in client-facing environments.

Additional Information :

At Logic20/20 we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package with a target base salary range of $156061 - $161680 for this role. The final base salary offered is dependent on factors such as relevant experience skills qualifications and location. Eligible employees may also qualify for performance-based bonuses and other incentives.

All your information will be kept confidential according to EEO guidelines.

Learn more about life at Logic20/20!

Visit our Life at Logic page to explore our culture benefits and what makes Logic20/20 a great place to grow your career!

Core Values 

At Logic20/20 we are guided by three core values: Drive toward Excellence Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employeesand they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at  Opportunity Statement 

We believe that people should be celebrated: for their talents ideas and skills but most of all for what makes them unique. We prohibit harassment and/or discrimination based on age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by federal state or local law. 

To learn more about our DE&I initiatives please visit:  Policy 

During the recruitment and hiring process we gather process and store some of your personal data. We consider data privacy a priority. For further information please view our company privacy policy. 

Remote Work :

Yes

Employment Type :

Full-time