Offer summary

Qualifications:

3+ years of experience in solutions engineering, software engineering, or AI/ML deployment., Strong programming skills in Python, JavaScript, or Go, with experience in API integrations., Hands-on experience with AI/ML frameworks like TensorFlow and PyTorch., Familiarity with cloud platforms such as AWS, GCP, or Azure. .

Key responsabilities:

Partner with customers to design and implement AI solutions using Sully.ai’s platform.

Assist with API integrations, cloud deployments, and model fine-tuning.

Solve customer challenges related to AI model performance and automation workflows.

Collaborate with sales teams to deliver technical demos and solution architecture guidance.

Job description

About Us

At Sully.ai, we're not just building AI – we're redefining the future of how healthcare is delivered. Our end to end solutions empower healthcare providers by automating doctors’ administrative tasks, reducing misdiagnosis, and enhancing efficiency.

Who You Are

As a Solutions Engineer, you will be the technical bridge between our customers and Sully.ai’s cutting-edge platform. You’ll work closely with clients, guiding them through product integrations, troubleshooting complex issues, and optimizing AI solutions to ensure maximum business impact.

Customer Success & Technical Guidance: Partner with customers to design and implement AI solutions using Sully.ai’s platform.
Integration & Deployment: Assist with API integrations, cloud deployments, and model fine-tuning to ensure seamless adoption.
Technical Support & Troubleshooting: Solve customer challenges related to AI model performance, infrastructure, and automation workflows.
Product Advocacy: Work closely with engineering and product teams to enhance Sully.ai’s offerings based on customer feedback.
Pre-sales Engineering: Collaborate with sales teams to deliver technical demos, proof-of-concepts (PoCs), and solution architecture guidance.
AI Performance Optimization: Help customers optimize AI models, inference speed, and data pipelines for better efficiency.

What You'll Bring

3+ years of experience in solutions engineering, software engineering, or AI/ML deployment.
Strong programming skills in Python, JavaScript, or Go, with experience in API integrations.
Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI APIs, etc.).
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
Excellent communication skills and ability to explain technical concepts to both technical and non-technical audiences.
Experience working with AI-powered applications, data science workflows, or enterprise SaaS platforms is a plus.

Why Join Sully.ai?

✅ Work at the Cutting Edge of AI – Help companies scale and optimize AI-driven products.
✅ High-Impact Role – Directly influence customer success and product evolution.
✅ Collaborate with AI Experts – Work with top engineers, researchers, and product leaders in the industry.
✅ Competitive Compensation – Strong salary, equity, and benefits package.
✅ Flexible & Remote-Friendly – Work from anywhere while making a big impact.

Sully.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.

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