React Developer with AI

Job Title: React Developer with AI

Location: Washington D.C. 20433 (Hybrid, 4 days onsite a week)

Duration: Long term contract

Mode of Interview: Onsite interview

Job Description: Looking for a Full Stack Developer with recent AI experience and a strong background in React and Node.js.

Must have skills: React, Node.js, and AI.

Roles & Responsibilities:

• We seek developers with an AI-first engineering mindset, able to choose between deterministic code, LLMs, and agents, and to design for probabilistic outputs with robust fallback strategies while balancing cost, latency, and reliability.
• Core GenAI & LLM expertise includes integrating LLMs into production, prompt engineering, structured outputs, RAG pipelines, effective context management, and quality/hallucination evaluation.
• Rapid solution development skills: proficiency with modern AI development platforms, APIs, and tooling to quickly prototype, iterate, and deploy functional AI capabilities into real-world systems.
• Agentic AI experience: building autonomosemi-autonomous agents with clear goals, constraints, orchestration patterns, tool-calling, state/memory handling, guardrails, and behavioural observability.
• Full-stack capabilities: Backend — API design (REST/GraphQL), secure services, data modelling, async workflows, external integrations. Frontend — modern frameworks (e.g., React), AI-native UX (streaming responses, explainability), state management, human-AI interaction patterns.
• Cloud-native experience in containerized/microservice environments, CI/CD for AI components, secure secrets handling, cost-aware designs, and performance optimization.
• Data & knowledge engineering: handling structured/unstructured data, building pipelines, preprocessing, embeddings, ranking, and versioning AI artifacts.
• Focus on reliability, security, and responsible AI: safeguard sensitive data, mitigate leakage/bias/safety risks, ensure auditability, and support graceful degradation.
• Excellent collaboration and communication: clear explanation of AI behaviour, cross-functional teamwork, documentation, and critical output review.
• High learning agility and craftsmanship: staying current with evolving AI tools, delivering production-quality systems.