React Developer - Locals to DC - Only 11+ Years of Experience

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Hi,

We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.

Title: React Developer

Duration: Long Term

Location: Washington, DC

Hybrid Onsite: 4 days onsite per week from Day1 with a transition to 100% onsite expected soon.

Job Description

• AINative Software Developer Profile (GenAI & Agentic AI, FullStack) We seek developers with an AIfirst 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 realworld systems.

Agentic AI experience: building autonomosemiautonomous agents with clear goals, constraints, orchestration patterns, toolcalling, 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), AInative UX (streaming responses, explainability), state management, humanAI interaction patterns.

Cloudnative experience in containerized/microservice environments, CI/CD for AI components, secure secrets handling, costaware 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, crossfunctional teamwork, documentation, and critical output review.

High learning agility and craftsmanship: staying current with evolving AI tools, delivering productionquality systems.