Company

Technology

StaffSoftwareEngineer,Fullstack(ACF)

€85–130k ~AI est. Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Software Engineer, Fullstack (ACF). Skills: Fullstack engineering, LLM-powered capabilities, RAG pipelines. Design end-to-end fullstack features. Build frontend interfaces”

What You'll Achieve.

Ensure accurate and safe outputs; Ensure trustworthy user experiences

Industry & Context.

Technology
Problems you'll solve

Troubleshooting

Eligibility Requirements

Section 508–compliant

What They're Looking For.

Must Have

Experience designing and implementing RAG-based LLM systems, Design and optimize multi-step LLM/agent workflows, Hands-on experience with prompt engineering, Fullstack engineering skills, Solid understanding of system design, Experience working in cross-functional, iterative product teams, Familiarity with secure software development practices

Nice to Have

Experience with Python, FastAPI experience, LangChain experience, Postgres with pgvector experience, Next. js experience, Modern cloud/AI infrastructure tools experience, Experience in regulated environments, Experience in public-sector environments, Experience in high-trust environments

What You'll Do.

Design end-to-end fullstack features

Build frontend interfaces

Build backend services

Engineer LLM-powered capabilities

Optimize LLM-powered capabilities

Develop accessible user interfaces

Develop secure user interfaces

Develop Section 508–compliant user interfaces

Develop compliant systems

Evaluate AI-driven interactions

Monitor AI-driven interactions

Improve reliability of AI-driven interactions

Improve safety of AI-driven interactions

Improve quality of AI-driven interactions

Build secure software systems

Build compliant software systems

Maintain secure software systems

Maintain compliant software systems

Collaborate in a cross-functional environment

Contribute to engineering excellence

How You'll Work.

Team & Collaboration

Cross-functional environment; Product managers; Designers; Researchers; Engineers

Full Job Description

## Accountabilities 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. Requirements: 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,

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