Senior Full-Stack LLM & Front-End Engineer

Job Details

• Location: Remote (US)
• Contract Bill Rate: $80/hr
• Experience Range: 8 – 12 years

Must Have Skills

• FastAPI (Expert)
• Fullstack Engineer
• Prompt Engineering with LLMs (Strong)
• Python (Expert)
• React (Expert)

Job Description

Client is seeking a Senior Full-Stack Engineer with deep expertise in LLM-driven backend systems and strong hands-on experience building high-performance front-end applications using Next.js and React. The ideal candidate is equally comfortable designing and deploying LLM-backed APIs as they are building performant, scalable front-end experiences.

Responsibilities

LLM, Backend & AI Engineering

• Design, build, and deploy LLM-powered services using Python, FastAPI/Flask, and modern microservices architectures.
• Work with leading LLM providers and frameworks (e.g., OpenAI, Anthropic, LangChain, LlamaIndex).
• Implement and productionize Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
• Design multi-agent and context-aware AI systems, including experience with Model Context Protocol (MCP).
• Develop prompt strategies and system-level orchestration for real-world, scalable AI use cases.
• Own AI features end-to-end, from design and experimentation through production rollout and optimization.
• Ensure robustness, security, observability, and performance of AI systems deployed at scale.

Front-End & Application Development

• Build and maintain React-based applications using Next.js, optimized for performance, scalability, and SEO.
• Implement SSR, SSG, and edge-rendered experiences to support enterprise use cases.
• Deploy and manage applications on Vercel, leveraging CI/CD pipelines, serverless functions, and edge capabilities.
• Collaborate with designers and product teams to translate UI/UX designs into high-quality, reusable components.
• Define and uphold front-end best practices, patterns, and technical standards.
• Integrate front-end applications with backend APIs (REST, GraphQL, and Next.js API routes).
• Ensure application reliability through unit, integration, and end-to-end testing.

Key Competencies

• A senior-level engineer capable of independent execution across planning, implementation, and delivery.
• Strong communicator who collaborates effectively with product owners, designers, and cross-functional teams.
• Systems thinker who blends software engineering, data, and AI principles.
• Comfortable owning complex features end to end and delivering high-quality production solutions.
• Passionate about continuous learning and staying current with AI and web technologies.

Must-Have Technical Skills

Backend, AI & LLMs

• 8+ years building backend services and APIs with Python.
• 2+ years hands-on experience developing and deploying LLM-based systems.
• Strong experience with FastAPI or Flask, microservices, Docker, and Kubernetes.
• Production experience with LLM APIs and frameworks (OpenAI, Anthropic, LangChain, LlamaIndex).
• Strong understanding of RAG architectures, vector databases, and semantic search.
• Experience shipping generative AI solutions to production at scale (beyond POCs).
• Knowledge of event-driven architectures, messaging systems, and server-side events.
• Solid understanding of backend security, authentication, and data protection.

Front-End & Web

• 5+ years of professional front-end development experience.
• Strong hands-on experience with Next.js, React, and TypeScript.
• Experience deploying and optimizing applications on Vercel.
• Deep understanding of SSR, SSG, performance optimization, and SEO.
• Proficiency with modern styling approaches (Tailwind, CSS Modules, Styled Components, Material UI).
• Experience with testing frameworks (Jest, React Testing Library, Cypress, or Playwright).
• Familiarity with CI/CD pipelines (GitHub Actions, Vercel).

Nice-to-Have Skills

• LLM guardrails, monitoring, and observability tooling.
• Edge Functions and Vercel Analytics.
• GraphQL (Apollo, Relay).
• Internationalization (i18n) in Next.js.
• Full-stack experience with Node.js, Express, or relational/NoSQL databases.
• Experience building AI solutions in large, business-critical applications.