AI Application Engineer, Sidecar Health
+ Bonus opportunity, and equity package
Digital health insurance platform
Open for applications
Digital health insurance platform
201-500 employees
Open for applications
+ Bonus opportunity, and equity package
201-500 employees
Company mission
To make healthcare affordable.
Role
Who you are
- This role requires experience in designing and deploying scalable, serverless AI applications using Amazon Bedrock, AWS Step Functions, AWS Lambda, API Gateway, DynamoDB, and other cloud-native services
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Administration, or a related field
- 4+ years of professional experience in software engineering, with a focus on AI or machine learning platforms
- Fluency in AWS serverless architecture, including Lambda, API Gateway, Step Functions, S3, DynamoDB, and IAM
- Strong TypeScript programming skills
- Hands-on experience with AI APIs such as OpenAI, Anthropic, and Hugging Face
- Understanding of LLM behavior and prompt engineering techniques, including model biases, tokenization, embeddings, and response optimization
- Cloud-native development expertise, including deploying and scaling AI applications in AWS
- Experience with infrastructure as code (IaC) using AWS SAM, AWS CDK, Serverless framework, or CloudFormation
- Familiarity with monitoring and logging tools such as AWS CloudWatch, X-Ray, or Datadog
- Ability to troubleshoot performance bottlenecks in serverless environments and optimize for cost-efficiency
What the job involves
- We are looking for an AI Application Engineer with deep expertise in AWS and serverless architecture to optimize and refine large language model (LLM) interactions while ensuring seamless integration into cloud-based environments
- Develop, optimize, and refine AI-generated outputs through advanced prompt engineering techniques
- Design agentic systems leveraging AWS Step Functions and Amazon Bedrock
- Design and implement serverless workflows to support AI-driven applications using AWS Lambda, API Gateway, and DynamoDB
- Build and maintain scalable prompt automation pipelines using AWS services
- Explore prompt strategies to enhance AI model responses and mitigate inconsistencies or hallucinations
- Conduct performance monitoring, logging, and error handling for AI-related API calls and workflows in AWS
- Stay updated on advancements in AI, LLMs, and cloud computing, applying new techniques to improve model performance
- Develop documentation, best practices, and internal tooling for prompt engineering within a serverless ecosystem
Our take
Sidecar Health’s insurtech platform allows users to tailor their own flexible healthcare plans based on their individual needs and budget. One of its main advantages outside of its flexibility is how the company doesn't use its own dedicated network of doctors, allowing the customer to see whomever they like while negating its own need to build nationwide networks.
On top of this it allows users to search and compare local health providers, and pay directly for care through its own payment card, often at a discount to what legacy insurance providers charge. Sidecar’s offering allows for better flexibility, more transparency and fewer financial burdens for unnecessary coverage areas.
The company has garnered plenty of praise, and financial backing, for its consumer-centric approach - and its latest raise positions Sidecar Health as a major disruptor in the market. That said, future growth will depend on how well it can expand its nationwide footprint, take on the legacy healthcare providers and work its way into employer and government-sponsored plans.
Steph
Company Specialist at Welcome to the Jungle
Insights
-28% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2024
$165m
SERIES D
Jan 2021
$125m
SERIES C
Total funding: $328m
Company benefits
- Comprehensive Medical, Dental, and Vision benefits
- Paid vacation and company holidays
- Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S
Company HQ
El Segundo, CA
Leadership
Patrick Quigley
(Co-Founder & CEO)Having worked at BEA Systems and QuinnStreet for a combined 8 years, they took an MBA at Wharton. They also served as CEO of Healthplans.com and Katch.
Veronica Osetinsky
(Co-Founder & COO)They studied at UCB before working at Bank of America and Paramax Capital. They worked at Quinstreet and Katch for 8 years prior to co-founding Sidecar Health.
Share this job