Senior Full Stack Developer

in Karsun Solutions to grow your career with the company transforming possible for the US Government.

At Karsun, collaboration drives our community. We’re committed to building an environment where team members from diverse backgrounds can innovate, learn and grow with us. Here at Karsun, the only limit to your potential is the limit of your curiosity.

Join Team Karsun, and Find Your Next!

• Shape and scale an AI-native platform used for mission-critical government and enterprise modernization

• Tackle complex, real-world problems—not demo apps—with deep tech and product impact

• Lead and mentor in a senior technical role with room to influence architecture and strategy

Build at the intersection of AI, cloud, and modern engineering practices

• Lead architecture and development of full stack components—frontend (React), backend APIs (Node.js/Python), orchestration engines, and developer tools

• Engineer scalable, performant microservices that operate across distributed cloud (AWS EKS, Aurora, S3)

• Design AI/LLM workflows: embeddings, search, prompt chaining, and fine-tuning (GRPO, PPO, RLHF)

• Mentor team members and guide best practices for secure, maintainable, and cloud-native development

• Collaborate cross-functionally with AI engineers, Dev Ops, cloud architects, and product leadership

• 5+ years of hands-on software engineering experience building large-scale enterprise applications

• Strong proficiency in React, JavaScript/Type Script, Python, Java, Spring, and REST APIs

• Proven experience designing, building, and deploying enterprise-grade systems on Kubernetes/EKS Deep understanding of cloud architecture (AWS preferred), microservices, and distributed systems

• Experience integrating LLMs, AI/ML models, or building AI-powered workflows
• Bachelor's degree in Computer Science, Software Engineering, or related IT field

• Hands-on experience with AWS Bedrock, Claude/Titan models, or custom LLM fine-tuning (DPO, PPO, RLHF)

• Experience with Neo4j, Open Search, vector-based search, or knowledge graphs

Exposure to legacy modernization or domain-driven architecture for enterprise systems

The proposed salary range for this role is $
****** to $
******* USD. The salary range provided is a good faith estimate representative of all experience levels. Karsun considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Karsun Solutions is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Third Party Resumes: Karsun does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Karsun and Karsun will not be obligated to pay a placement fee.

Clearance Information

This position requires the eligibility to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website

• 5+ years of hands-on software engineering experience building large-scale enterprise applications

• Strong proficiency in React, JavaScript/Type Script, Python, Java, Spring, and REST APIs

• Proven experience designing, building, and deploying enterprise-grade systems on Kubernetes/EKS Deep understanding of cloud architecture (AWS preferred), microservices, and distributed systems

• Experience integrating LLMs, AI/ML models, or building AI-powered workflows
• Bachelor's degree in Computer Science, Software Engineering, or related IT field

• Lead architecture and development of full stack components—frontend (React), backend APIs (Node.js/Python), orchestration engines, and developer tools

• Engineer scalable, performant microservices that operate across distributed cloud (AWS EKS, Aurora, S3)

• Design AI/LLM workflows: embeddings, search, prompt chaining, and fine-tuning (GRPO, PPO, RLHF)

• Mentor team members and guide best practices for secure, maintainable, and cloud-native development

• Collaborate cross-functionally with AI engineers, Dev Ops, cloud architects, and product leadership