Live opening · Posted 2 days ago

AI Integration Engineer

Damoov · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyDamoov
LocationUnited States (Remote)
Work modeYes
SkillsPython, AWS, Azure
SourceLinkedin
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

About Damoov
Damoov develops telematics software and APIs used by fleet operators, insurance companies, mobility providers, and technology businesses. Our platform helps customers collect driving data, monitor trips, improve safety, and integrate telematics capabilities into their own applications.
About the Role
We're looking for an AI Integration Engineer to help build AI-powered applications and integrate modern AI technologies into Damoov's products and internal workflows.
In this role, you'll work with Product, Engineering, Data, and Customer Success to develop AI solutions using large language models, AI APIs, and automation frameworks. You'll help identify practical use cases, connect AI services with Damoov's platform, and build tools that improve customer experiences and internal productivity.
The position is suited to someone who enjoys software development, experimenting with AI technologies, and turning new ideas into production-ready applications.
Responsibilities
Design and build AI-powered applications using modern AI platforms and APIs
Integrate large language models into customer-facing products and internal tools
Develop AI workflows using retrieval, tool calling, and agent-based approaches
Connect AI applications with Damoov's APIs, SDKs, and internal systems
Build prototypes to evaluate new AI technologies and product ideas
Work with Product teams to identify opportunities where AI can improve customer workflows
Collaborate with Engineering to deploy and maintain AI applications in production
Optimize AI applications for quality, performance, reliability, and cost
Document AI solutions, implementation patterns, and technical best practices
Stay informed about new AI models, frameworks, and development tools
Requirements
Experience in software engineering or AI application development
Strong programming skills in Python
Experience working with AI APIs such as OpenAI, Anthropic, Google Gemini, or similar platforms
Understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI agents
Experience integrating APIs and building production software
Strong analytical and problem-solving skills
Good written and verbal communication skills
Interest in AI, automation, SaaS products, and developer technologies
Preferred Qualifications
Experience with LangChain, LangGraph, LlamaIndex, MCP, or similar AI frameworks
Experience building AI assistants, copilots, or workflow automation tools
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Experience working with REST APIs, webhooks, and microservices
Familiarity with telematics, mobility technology, or data platforms
Experience working in a startup or growing technology company
What We Offer
Opportunity to build AI-powered products used by businesses around the world
Collaboration with Product, Engineering, Data, and Customer Success teams
Flexible, fast-paced work environment
Opportunity to grow with a developing technology company

Work arrangement
Yes

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