Staff Software Engineer, Fullstack (ACF) in United States at Jobgether
NewJob Function: Information Technology
Jobgether
United States, United States
Posted on
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Job Description
Staff Software Engineer, Fullstack (ACF)
Accountabilities:
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Fullstack (ACF) based in the United States.
This role sits at the intersection of fullstack engineering and applied AI, focused on building mission-critical digital services that directly support young adults transitioning out of foster care. You will help design and ship a next-generation public-facing platform that combines modern web experiences with LLM-powered assistance and curated knowledge systems. The work is highly impactful, shaping how thousands of users access essential resources at a pivotal moment in their lives. You will collaborate in a cross-functional environment with product, design, research, and engineering peers to deliver end-to-end solutions. The role emphasizes both technical depth in AI systems and strong product intuition. It is a fast-moving, zero-to-one initiative operating at national scale within a regulated, high-trust environment.
- Design and build end-to-end fullstack features, including frontend interfaces, backend services, and APIs supporting a large-scale public digital platform.
- Engineer and optimize LLM-powered capabilities such as RAG pipelines, semantic search, prompt design, embeddings, and agent-based workflows to ensure accurate and safe outputs.
- Develop accessible, secure, and Section 508–compliant user interfaces and systems that meet federal standards and serve diverse user needs.
- Evaluate, monitor, and improve the reliability, safety, and quality of AI-driven interactions to ensure trustworthy user experiences.
- Build and maintain secure, compliant software systems aligned with federal security requirements and best practices in vulnerability prevention.
- Collaborate in a cross-functional environment with product managers, designers, researchers, and engineers to deliver iterative, user-centered solutions.
- Mentor peers and contribute to engineering excellence through best practices in testing, CI/CD, system design, and scalable architecture.
- Strong experience designing and implementing RAG-based LLM systems, including semantic search and knowledge-grounded generation.
- Proven ability to design and optimize multi-step LLM/agent workflows for data retrieval, refinement, and synthesis.
- Hands-on experience with prompt engineering, embedding models, and improving LLM response quality and reliability.
- Strong fullstack engineering skills with the ability to write clean, reusable, and well-tested code across frontend and backend systems.
- Solid understanding of system design, data modeling, and distributed systems with attention to performance, scalability, and reliability.
- Experience working in cross-functional, iterative product teams with a strong user-centered engineering mindset.
- Familiarity with secure software development practices and awareness of compliance and vulnerability mitigation techniques.
- Bonus: experience with Python, FastAPI, LangChain, Postgres with pgvector, Next.js, and modern cloud/AI infrastructure tools.
- Bonus: experience in regulated, public-sector, or high-trust environments with strong operational constraints.
- Competitive compensation aligned with seniority and market benchmarks for Staff-level engineering roles.
- Comprehensive health coverage including medical, dental, vision, disability, and life insurance.
- Retirement benefits including a 401(k) with employer match up to 10% and no vesting period.
- Generous flexible PTO policy (around 25 days annually) plus 11 federal holidays.
- Paid parental leave of up to 12 weeks for birth, adoption, or foster care.
- Annual professional development and tech stipends to support growth and tooling.
- Performance-based rewards including bonuses, salary increases, and equity opportunities.
- Fully remote work environment with flexibility and strong support for work-life balance.
- Additional perks including wellness funds, referral bonuses, and charitable donation matching.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location
United States, United States
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