AI Software Engineer

• Posted 15 hours ago • Updated 21 minutes ago
Contract W2
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • react
  • Python
  • REST
  • node
  • next

Summary

AI Software Engineer
Remote (travel as and when needed )
Contract-6 Months+

JD:
3+ years (P40) to 8+ years (P55) building and shipping production software. Full-stack: React/Next.js, Node.js/Python, REST/GraphQL, databases. You have a GitHub or portfolio that shows what you've built.
Hands-on GenAI experience. You've built on LLMs (GPT, Claude, Gemini, Llama, Mistral or equivalent), built RAG pipelines, used embeddings, vector databases, and prompt engineering. You've used agent frameworks (LangGraph, CrewAI, deepagents, Claude Agent SDK or equivalent). Ideally you've shipped GenAI applications in production.
AI-native workflow. You use AI coding tools daily - Cursor, Claude Code, Copilot, Codex. You've built or extended MCP servers, created custom agents, or automated your own workflows with AI. This isn't a bullet point on your resume; it's how you operate.
Cloud & DevOps fluency. Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI), cloud platforms (AWS, Azure, or Google Cloud Platform). You can deploy what you build.
Customer-facing communication. You translate complex AI concepts for both engineers and executives. You're comfortable in a room with a customer's technical team. Low ego, high clarity.
Bias for action. You don't wait for specifications. You don't ask for permission. You prototype, show the work, get feedback, iterate. Urgency is your default setting.What Sets You Apart
Former founder or early-stage startup engineer who's built a product from scratch
Open-source contributions, personal AI projects, or a technical blog showing what you build in your own time
Experience building content/asset production systems, MarTech platforms, or creative workflow
tools - especially at ad agencies, creative studios, or marketing technology companies (e.g., Publicis, Monks, R/GA, Accenture Song, WPP, Omnicom, Dentsu, Havas, WongDoody, Designit, Code & Theory). You've been on the customer's side of the table and know how creative teams operate at scale.
Experience with video/media processing pipelines, video APIs, or multi-modal AI systems (text-to- video, image-to-video, video reformulation, dubbing)
Built multi-agent systems, MCP integrations, or agentic CI/CD pipelines
Adobe ecosystem familiarity (Firefly Services, AEM, Workfront, App Builder, Frame.io) is a plus but not required - we care about how fast you learn, not what you already know
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91009966
  • Position Id: 2026-30042
  • Posted 15 hours ago
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