Join Our Team

Help us build AI Agents that transform healthcare workflows and improve patient outcomes

Current Openings

Full-time

Senior DevSecOps Engineer (Cloud, AI & Security)

Hybrid / Remote

Apply Now

Senior DevSecOps Engineer (Cloud, AI & Security)

Location

Hybrid / Remote

Employment Type

Full-time

Experience Level

Senior (5+ years)

About the Role

We are looking for a Senior DevSecOps Engineer to join our growing engineering team. In this role, you will be the cornerstone of our cloud infrastructure, security, and deployment strategy, bridging the gap between rapid AI innovation and rigorous regulatory requirements.
You will be responsible for architecting and securing the environments where we build autonomous agents and integrate Large Language Models (LLMs) into production workflows. You will ensure our cloud infrastructure and AI layers are not only scalable and robust but also fully compliant with industry standards like HIPAA and SOC2.

Key Responsibilities

Design, develop, and maintain secure, scalable cloud infrastructure with Azure and/or AWS.
Lead the implementation and management of automated CI/CD pipelines to ensure smooth, secure, and reliable deployments.
Champion “Infrastructure as Code” (IaC) principles to automate and standardize environment provisioning.
Provision and optimize infrastructure specifically for AI/ML workloads, including the deployment of ML models and autonomous agents.
Implement and manage MLflow (or equivalent tools) to track experiments, manage models, and streamline the ML lifecycle.
Integrate and manage security scanning tools (SAST, DAST, and container scanning) directly into the development lifecycle.
Architect and enforce security controls to ensure continuous SOC2 compliance and adherence to HIPAA standards.
Work closely with full-stack engineers and product management to define infrastructure requirements and deliver high-quality, secure products.

Technical Requirements (The Must-Haves)

5+ years of professional experience in DevSecOps or Cloud Engineering, specifically managing production Azure environments.
Proven experience deploying and monitoring ML models and AI agents in production environments.
Hands-on experience with ML lifecycle management tools such as MLflow or similar frameworks.
Deep expertise in Infrastructure as Code (IaC) using tools like Terraform, Pulumi, Azure Bicep or AWS CDK.
Strong experience in building and maintaining CI/CD pipelines using Bitbucket/Github or Azure DevOps.
Expert knowledge of security scanning tools and vulnerability management.
Direct experience working in a regulated industry with a deep understanding of HIPAA and SOC2 compliance.
Familiarity with software development lifecycle tools such as GitHub, Jira, and Confluence.

Preferred Qualifications

Prior experience in the healthcare domain and in handling PHI data.
Multi-cloud experience spanning AWS and Google Cloud.
Knowledge of Python (FastAPI) and Node.js ecosystems to better support engineering workflows.
Background in managing data security for relational (PostgreSQL) and NoSQL (DynamoDB/CosmosDB) databases.
Startup Mindset: Quick learner with a bias for action, ownership mentality, and the ability to favor pragmatism over perfection.

Location: Hybrid / Remote

Hybrid: Candidates in the Washington, D.C. area will work from the DC office 3 days a week.

Remote: We are open to fully remote applicants who demonstrate a high level of fit and potential for the role.

Submit Application

Full-time

Software Engineer – Full Stack (AI & Cloud)

Hybrid / Remote

Apply Now

Software Engineer – Full Stack (AI & Cloud)

Location

Hybrid / Remote

Employment Type

Full-time

Experience Level

Junior (2+ years)

About the Role

We are looking for a Full-Stack Software Engineer to join our growing engineering team. In this role, you will build full-stack web applications with cutting-edge AI/ML integration. You will work across the front end, back end, cloud infrastructure, and AI layers, ensuring our product is robust and secure under the guidance of senior leadership.

Key Responsibilities

Design, develop and maintain scalable web applications with full-stack ownership.
Develop responsive web applications using React, Next.js and other modern technologies.
Build and manage back-end API’s on Node.js and Python FastAPI frameworks.
Provision, manage, and optimize cloud infrastructure on AWS or Azure. You will own the architecture for the services you build.
Maintain and improve CI/CD pipelines to ensure smooth, reliable deployments. Automate repetitive tasks and ensure “infrastructure as code” principles are upheld.
Design and implement robust interfaces with LLM’s (OpenAI, Anthropic, Gemini, or open-source models) and other ML models.
Work closely with product management and other engineers to define feature requirements and deliver high-quality products.

Technical Requirements (The Must-Haves)

2+ years of professional software engineering experience in full-stack customerfacing applications with React/Next.js/Tanstack using Javascript/Typescript.
Experience working in AWS (EC2, Kubernetes, Lambda, S3, RDS) and/or Azure (App Service, ACA, Functions, Blob Storage, SQL Database).
Strong foundational skills in Python (FastAPI) and the Node.js (Express or equivalent) ecosystem.
Proficiency in building secure, scalable REST and GraphQL API’s.
Proven experience with relational and NoSQL databases (PostgreSQL, DynamoDB etc.)
Familiarity with software development lifecycle tools such as Github/Bitbucket, Jira and Confluence.
Exposure to building applications that consume LLM APIs. Familiarity with prompt engineering techniques (Chain-of-Thought, ReAct, RAG etc.) and context window management.

Preferred Qualifications

Prior experience in healthcare domain and in handling PHI data.
Familiarity with Infrastructure as Code tools such as Terraform, Pulumi, AWS CDK etc.
Startup Mindset: Quick learner with a bias for action, ownership mentality and ability to favor pragmatism over perfection.

Location: Hybrid / Remote

Hybrid: Candidates in the Washington, D.C. area will work from the DC office 3 days a week.

Remote: We are open to fully remote applicants who demonstrate a high level of fit and potential for the role.

Submit Application

Full-time

Senior Full-Stack Engineer (AI & Cloud)

Hybrid / Remote

Apply Now

Senior Full-Stack Engineer (AI & Cloud)

Location

Hybrid / Remote

Employment Type

Full-time

Experience Level

Senior (5+ years)

About the Role

We are looking for a Senior Full-Stack Software Engineer to join our growing engineering team. In this role, you will bridge the gap between traditional full-stack development and cutting-edge AI integration. You will implement scalable solutions, build autonomous agents, and integrate Large Language Models (LLMs) directly into our production workflows. You will move fluently between the front end, back end, cloud infrastructure, and AI layers, ensuring our product is robust and secure.

Key Responsibilities

Design, develop and maintain scalable web applications with full-stack ownership.
Develop responsive web applications using React, Next.js and other modern technologies.
Build and manage back-end API’s on Node.js and Python FastAPI frameworks.
Provision, manage, and optimize cloud infrastructure on AWS or Azure. You will own the architecture for the services you build.
Maintain and improve CI/CD pipelines to ensure smooth, reliable deployments. Automate repetitive tasks and ensure “infrastructure as code” principles are upheld.
Design and implement robust interfaces with LLM’s (OpenAI, Anthropic, Gemini, or open-source models) and other ML models.
Work closely with product management and other engineers to define feature requirements and deliver high-quality products.

Technical Requirements (The Must-Haves)

4+ years of professional software engineering experience in full-stack customerfacing applications with React/Next.js/Tanstack using Javascript/Typescript.
Strong server-side development skills in Python (FastAPI) and the Node.js (Express or equivalent) ecosystem.
Hands-on experience with AWS (EC2, Kubernetes, Lambda, S3, RDS) and/or Azure (App Service, ACA, Functions, Blob Storage, SQL Database).
Expertise in building secure, scalable REST and GraphQL API’s.
Proven experience with relational and NoSQL databases (PostgreSQL, DynamoDB etc.)
Familiarity with software development lifecycle tools such as Github/Bitbucket, Jira and Confluence.
Experience in building applications that consume LLM APIs. Familiarity with prompt engineering techniques (Chain-of-Thought, ReAct, RAG etc.) and context window management.

Preferred Qualifications

Experience building and maintaining CI/CD pipelines (GitHub Actions, Bitbucket Pipelines etc.).
Prior experience in healthcare domain and in handling PHI data.
Familiarity with Infrastructure as Code tools such as Terraform, Pulumi, AWS CDK etc.
Startup Mindset: Quick learner with a bias for action, ownership mentality and ability to favor pragmatism over perfection.

Location: Hybrid / Remote

Hybrid: Candidates in the Washington, D.C. area will work from the DC office 3 days a week.

Remote: We are open to fully remote applicants who demonstrate a high level of fit and potential for the role.

Submit Application

Don’t see the right role but interested in working with us? We’re always interested in talented people looking to build the future. Reach out and talk to us directly

Get in Touch

Join Our Team

Current Openings

Senior DevSecOps Engineer (Cloud, AI & Security)

Senior DevSecOps Engineer (Cloud, AI & Security)

Software Engineer – Full Stack (AI & Cloud)

Software Engineer – Full Stack (AI & Cloud)

Senior Full-Stack Engineer (AI & Cloud)

Senior Full-Stack Engineer (AI & Cloud)

Solutions

Company

Contact