Software Engineer – AI Agents
New
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary200,000 - 320,000 USD per year
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Job Details
- Experience
- 4–12 years of professional software engineering experience
- Required Skills
- Artificial IntelligenceTypeScriptPrototypingPrompt EngineeringLLM
Requirements
- 4–12 years of professional software engineering experience
- Strong backend engineering and system architecture experience
- Product-minded approach with strong customer empathy and business understanding
- Experience building scalable software products in fast-paced environments
- Strong proficiency in TypeScript and modern software development practices
- Ability to rapidly prototype while also designing maintainable production systems
- Strong communication and collaboration skills
- Demonstrated ability to work independently and drive projects from concept to launch
- Growth mindset with strong problem-solving and analytical thinking skills
- Experience working with AI/ML products or LLM-powered applications
- Familiarity with AI orchestration, prompt engineering, or agentic workflows
- Experience building customer-facing SaaS platforms
- Startup or high-growth company experience
- Exposure to marketing technology, analytics, customer data platforms, or data infrastructure
- Experience working closely with executive leadership or cross-functional product teams
Responsibilities
- Rapidly prototype AI-powered product concepts and proof-of-concept (POC) solutions
- Design and build production-ready LLM pipelines and AI agent systems
- Develop AI-driven applications that leverage customer and marketing data to generate insights and automate workflows
- Collaborate closely with product and engineering leadership to explore and launch new product initiatives
- Evaluate and recommend AI architectures, models, and frameworks based on scalability and product needs
- Build intelligent data agents capable of answering analytics and business intelligence questions
- Create seamless AI-assisted user experiences by deeply understanding customer workflows
- Participate in technical architecture discussions and contribute to long-term platform strategy
- Balance rapid experimentation with scalable engineering best practices
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