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Ai Software Engineer

Company: Harnham

Location: Remote

Posted on: December 04

AI Software Engineer

Remote (US ET/CT Time Zone)

$120,000 $150,000 Salary+ Benefits

About the Company

Our client is a global education leader undergoing a major digital transformation evolving from traditional publishing into an AI-driven provider of personalized learning and data-powered educational experiences. Following major investment in Gen AI, the company is scaling its AI Platform Engineering team to build the next generation of adaptive learning tools.

This is a hands-on engineering role focused on building production-grade generative AI applications that power multiple products across the business.

About the Role

Youll design and build scalable, full-stack systems that integrate large language models and AI capabilities into digital learning platforms. Working closely with data scientists, product managers, and engineers, youll help take GenAI prototypes from experimentation to productiondriving forward real-world AI impact.

Key Responsibilities

  • Develop and maintain AI-powered applications and platform services that are reliable, scalable, and secure
  • Build and optimize LLM-based and RAG-powered solutions using frameworks such as LangChain or LangGraph
  • Collaborate with Data Science teams to productionize models and streamline deployment pipelines
  • Lead and contribute to technical design, architecture, and CI/CD improvements
  • Ensure applications meet accessibility (WCAG 2.2 AA), performance, and security standards
  • Stay current on the latest advancements in GenAI and advocate for best practices across the team

Qualifications:

  • 5+ years of professional software engineering experience
  • Strong system design, performance optimization, and collaboration skills
  • Practical understanding of RAG techniques, vector databases, and AI orchestration tools
  • Passionate about building impactful technology and staying ahead in the AI space
  • Strong full-stack skills across:
  • Backend: Python, Node.js, or Go
  • Frontend: Angular or React
  • Databases: MySQL/PostgreSQL + NoSQL (e.g., DynamoDB)
  • Cloud/Infra: AWS or Azure, Terraform, CI/CD tools
  • Hands-on experience building AI/GenAI-enabled applications (Azure OpenAI, Amazon Bedrock, etc.)