React Developer with AI

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Job Title:

React Developer with AI

Location:

Washington D.C 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

Must have skills:

React, , 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.