Senior Full-Stack LLM & Front-End Engineer

Job Role – Senior Full-Stack LLM & Front-End Engineer 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.

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."