Software Engineer, AI Agents
New
J
JobgetherAI, Data, Marketing
Fully remote work environment across North America.Full-TimeSenior
Salary180,000 - 400,000 USD per year
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Job Details
- Required Skills
- Data engineeringRESTful APIsSoftware EngineeringGenerative AIDistributed Systems
Requirements
- Strong software engineering experience, particularly in backend architecture and building complex production systems.
- Demonstrated ability to take technical projects from initial concept through implementation and production.
- Strong product intuition and customer orientation, with the ability to understand user needs and translate them into effective technical solutions.
- Experience designing or architecting data-processing systems, distributed systems, APIs, or other backend infrastructure.
- Creative and intellectually curious approach to applying emerging technologies to real-world problems.
- Strong analytical and problem-solving skills, with the ability to navigate ambiguous technical and product challenges independently.
- Ability to rapidly prototype ideas while also understanding how to build reliable, maintainable production systems.
- Strong communication and collaboration skills, particularly when working across technical and product disciplines.
- Comfort making architectural and technical decisions with limited direction and taking full ownership of outcomes.
- Experience working in a fast-paced, high-autonomy environment.
Responsibilities
- Rapidly prototype and develop proofs of concept that explore innovative ways to integrate AI into data and marketing workflows.
- Design and architect production-grade LLM applications and pipelines, making thoughtful decisions around AI architectures, frameworks, and technical approaches.
- Build production data agents capable of using customer and business data to answer analytics, data science, and marketing-related questions.
- Translate customer needs and real-world workflows into intuitive AI-assisted product experiences.
- Work closely with product and engineering stakeholders to take projects from initial concept through architecture, implementation, iteration, and production.
- Evaluate emerging AI technologies and approaches, identifying opportunities to improve product capabilities, reliability, usability, and performance.
- Balance rapid experimentation with scalable engineering practices when moving successful prototypes into production.
- Apply strong product judgment to technical decisions, ensuring AI solutions solve meaningful customer problems rather than simply demonstrating technical capabilities.
- Operate with a high degree of autonomy, taking ownership of ambiguous problems and driving them toward practical, measurable outcomes.
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