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Developer Premium III

AI-first engineering mindset: Able to decide when to use traditional code versus large language models or AI agents. Designs for probabilistic AI behavior, fallback approaches, human review, and cost, latency, and reliability trade-offs.

  • Washington, District of Columbia, United States
  • Contract
  • Hybrid
  • Posted Nov 11, 2026
INDUSTRYSoftware & InternetSaaS & Enterprise SoftwareAI & Machine Learning

Responsibilities

  • Integrate large language models into production applications
  • Design agents with goals and constraints
  • Develop full-stack solutions using REST/GraphQL APIs and modern frontend frameworks
  • Implement cloud-native development practices for AI components
  • Ensure enterprise AI reliability and security, including sensitive-data protection and bias mitigation

Requirements

  • Experience in a AI

Skills

Generative AI developmentPrompt engineeringRetrieval-augmented generationEmbeddings/vector searchAgentic AIFull-stack engineeringCloud-native developmentAI reliability and securityReactREST APIsGraphQL APIs

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Full description

Position Summary: Title: Developer Premium III Duration: 6 Months – Possible Extension Location: Washington, DC 20433 Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon Job Requirement: AI-first engineering mindset: Able to decide when to use traditional code versus large language models or AI agents. Designs for probabilistic AI behavior, fallback approaches, human review, and cost, latency, and reliability trade-offs. Generative AI development: Hands-on experience integrating large language models into production applications, prompt engineering, structured outputs, retrieval-augmented generation, embeddings/vector search, context management, and evaluation for hallucination and response quality. Rapid AI solution development: Comfortable with modern AI development platforms, APIs, and tooling to rapidly prototype, iterate, and deploy working AI capabilities into real systems. Agentic AI: Experience designing agents with goals and constraints, orchestration patterns, tool/API calling, state and memory management, guardrails, failure recovery, and behavioral monitoring. Full-stack engineering: Backend experience with REST/GraphQL APIs, secure services, data models, asynchronous processing, and enterprise integrations; frontend experience with modern frameworks such as React and AI-specific user experiences such as streaming responses, explainability, review/edit/retry/approve interactions. Cloud-native development: Containers and managed services, continuous integration and deployment for AI components, secure secrets/key management, performance optimization, and cost-aware AI design. Enterprise AI reliability and security: Sensitive-data protection, data leakage risks, bias/safety/misuse considerations, auditability, traceability, and graceful degradation when AI fails. System thinking: Break ambiguous problems into components, build end-to-end systems rather than demos, balance rapid iteration with maintainability, and think in architectures. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Developer Premium III at Mindlance | Referso Jobs