Autonomize AI Jobs

Senior Forward Deployed Full Stack Engineer

Autonomize AI

Senior Forward Deployed Full Stack Engineer

Posted 2 Days Ago

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Austin, TX, USA

In-Office

Senior level

Healthtech • Information Technology • Internet of Things

AI that actually understands healthcare is transforming operations, one workflow at a time.

The Role

Build and deploy full-stack solutions integrating Autonomize AI with healthcare EHR and claims systems. Develop user interfaces, APIs, workflow orchestrations, and applied machine learning configurations for customer use cases. Partner with customers to analyze business needs, define success criteria, prototype workflows, and launch production deployments within 60 days. Support SaaS and VPC deployments while communicating technical AI concepts to healthcare stakeholders.

Summary Generated by Built In

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

Role Overview

As a Forward Deployed Engineer (FDE) at Autonomize AI, you are the technical face of the company. You will sit at the intersection of Engineering, Product, and the Customer. Your mission is to deploy Autonomize AI platform into complex healthcare environments, ensuring that our technology solves real-world administrative burdens.

In this role, you will work alongside Solutions Engineers and Architects to execute rapid prototyping of complex Healthcare workflows — taking customers from discovery to live production 60 days.

Key Responsibilities

Full-Stack Implementation: Develop and customize user-facing components, APIs, and workflow orchestrations to integrate Autonomize AI into customer EHRs and claims systems.

Applied ML Engineering: Fine-tune and configure LLMs and machine learning models for specific customer use cases (e.g., Prior Authorization, CM Audit, or HEDIS reviews).

DevOps & Deployment: Assist in the deployment of our platform across various environments (SaaS and VPC), ensuring high reliability and security compliance.

Business Analysis & Discovery: Translate complex customer business requirements into technical specifications. You will help define the "Success Criteria" for each deployment.

Required Skills & Qualifications

Education: B.S. or M.S. in Computer Science, Data Science, or a related technical field.

Full-Stack Development: Proficiency in modern languages (Python preferred) and experience with web frameworks and API design (REST/GraphQL).

Machine Learning: Foundational understanding of NLP, Large Language Models (LLMs), and data preprocessing. Experience with frameworks like PyTorch or TensorFlow is a plus.

Infrastructure/DevOps: Exposure to cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes).

Analytical Mindset: Ability to act as a Business Analyst—asking the right questions to understand a customer’s "pain point" before writing a single line of code.

Communication: Exceptional ability to explain technical AI concepts to non-technical healthcare stakeholders.

Bonus Points

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, Tensorflow, HuggingFace

Familiarity with various databases like Postgres, Elasticsearch (ELK), or GraphDBs (neo4j, Tiger Graph etc)

Exposure on OpenAI APIs.

Worked on Kafka, ActiveMQ and/or REDIS

What We Offer

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.

Skills Required

B.S. or M.S. in Computer Science, Data Science, or a related technical field
Proficiency in modern programming languages, preferably Python
Experience with web frameworks and REST or GraphQL API design
Foundational understanding of NLP, large language models, and data preprocessing
Exposure to AWS, Azure, or GCP cloud platforms
Exposure to Docker or Kubernetes containerization
Ability to analyze customer pain points and translate business requirements into technical specifications
Exceptional ability to explain technical AI concepts to non-technical healthcare stakeholders
Experience with PyTorch or TensorFlow
Experience leading developers through direction, mentoring, and code reviews
Experience translating stakeholder needs into actionable development requirements
Familiarity with visualization libraries
Familiarity with PyTorch, TensorFlow, or Hugging Face AI and machine learning frameworks
Familiarity with PostgreSQL, Elasticsearch, Neo4j, or TigerGraph
Exposure to OpenAI APIs
Experience with Kafka, ActiveMQ, or Redis

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The Company

HQ: Austin, Texas

Year Founded: 2022

What We Do

Autonomize AI Agents & Copilots organize, contextualize and summarize unstructured data to reduce the administrative burden for healthcare knowledge workers to make data-driven decisions and improve patient outcomes. Our customers include health plans, providers and life sciences companies. Unlike generic AI systems retrofitted for healthcare, Autonomize deeply understands medical contexts, terminologies, and operational nuances. Our healthcare-focused AI Agents & Copilots augment knowledge work, drastically reducing administrative burden. Care management teams spend 78% less time per case, achieving an impressive 85% boost in case review efficiency. Prior authorization processes that traditionally take 20-30 minutes shrink to mere seconds, accompanied by an 80% reduction in manual errors, saving millions of dollars annually. Our AI Agents turn chaotic, unstructured healthcare data—clinical notes, PDFs, faxes, and claims—into structured, contextual information that informs decisions and actions. This has driven substantial real-world impact: organizations using Autonomize experience a 92% reduction in manual effort for care gaps and HEDIS chart reviews, dramatically improving compliance and STAR ratings. Autonomize AI is purpose-built for healthcare, transforming healthcare operations one workflow at a time through AI-native solutions that deliver immediate, scalable impact.