Senior Forward Deployed Full Stack Engineer

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human‑machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI.

Senior Forward Senior Full Stack Engineer is responsible for architecting, developing & testing the Autonomize Health platform & applications, including the UI, middleware, backend data pipelines, APIs, and cloud operations architecture.

• 5-7 years of experience building web applications from scratch.
• Experience in designing/architecting scalable and resilient backend applications.
• In‑depth knowledge of Python and/or Node/Type Script.
• Sound exposure to Python fundamentals and/or JavaScript.
• Sound exposure to microservices architecture.
• Experience with frameworks such as Django, Flask or similar.
• Experience working on at least one public cloud offering – AWS, Azure, GCP.
• Experience integrating & deploying machine learning/deep learning models.
• Experience with containerization concepts like Docker, Kubernetes and others.
• Familiarity with Agile/Rapid development processes.

• Experience leading a team of developers, driving quality and deliverables through direction, mentoring and code reviews.
• Experience working with stakeholders to translate business needs into actionable development requirements.
• Familiarity with visualization libraries.
• Familiarity with AI/ML, Data Analytics frameworks – PyTorch, Tensor Flow, Hugging Face.
• Familiarity with various databases like Postgres, Elasticsearch (ELK), or graph databases (Neo4j, Tiger Graph, etc).
• Exposure to OpenAI APIs.
• Experience with Kafka, Active
  
  MQ and/or Redis.

Education and experience requirements may vary depending on the company and position, but a bachelor's or master's degree in Computer Science, Engineering, Sales or a related field and several years of experience in scaling a B2B Product sales organization is required.

• A chance to make a real impact in the future of healthcare.
• Autonomy, ownership, and the ability to chart your own growth path.
• Competitive compensation and benefits.
• 100% employer‑paid health, vision, and dental insurance.
• Retirement plans (401k), disability insurance, employee assistance programs.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.