Thoughtful AI · 7 hours ago

Staff Software Engineer, Applied AI

United States

Full-time

Remote

Mid, Senior Level, Lead/Staff

$190K/yr - $250K/yr

3+ years exp

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Artificial Intelligence (AI)

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Responsibilities

Innovate: Stay at the forefront of AI advancements, continuously exploring new techniques, models, and tools. Your insights will help drive innovation and keep our platform at the cutting edge of technology.

Collaborate: Work closely with core platform and automation engineers, as well as other stakeholders, to identify and address business needs through AI solutions. You will play a key role in bridging the gap between AI research and practical application.

Integrate: Utilize APIs, pre-trained models, and other tools to implement AI-driven features across our platform. You will focus on integrating these capabilities into production systems, enhancing the functionality and performance of our solutions.

Optimize: Fine-tune and optimize existing solutions for specific product requirements, ensuring that AI integrations are efficient, scalable, and reliable.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Applied AIAPIsPythonAWSAI/ML frameworksTypeScript

Required

Bachelor’s or Master’s in Computer Science/Engineering, Data Science, or a related field.

Over 3 years of experience in applied AI, with a focus on implementing and integrating AI solutions using APIs and pre-trained models.

Proficiency in programming languages such as Python, TypeScript, or similar, with experience in utilizing AI/ML frameworks and tools such as LangChain, LlamaIndex, etc.

Familiarity with cloud infrastructure (ideally AWS) and experience in deploying and scaling AI applications.

Strong understanding of AI/ML concepts, but with a practical focus on application rather than research.

Excellent written and verbal communication skills, with the ability to convey complex AI concepts to technical and non-technical audiences.