Senior Python Engineer (Backend)

Alaffia Health•New York, NY

17h

About The Position

Alaffia Health is a healthcare AI startup revolutionizing medical billing and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we are seeking a Senior Python Backend Engineer to build cutting-edge AI products, drive innovation, and shape the future of healthcare automation. You will have the opportunity to work with the latest cutting edge AI technologies while implementing features that directly impact healthcare organizations. You will be tasked to build the GenAI framework for the engineering team to build the AI agent on and lead the effort to scale our GenAI applications. In this role, you'll be building the future of healthcare automation while tackling challenging problems in web development, system design, and cloud infrastructure.

Requirements

7+ years industry experience with large-scale and production-level API development and backend data processing

Nice To Haves

Building SasS app in the healthcare sector
Building and deploying user facing AI products
Building python SDK / libraries
Experience with DevOps and cloud provider, such as AWS, Azure, and GCP
Experience with vector databases
Experience with data processing orchestrators, such as Airflow or Dagster
Experience with message queue system, such as AWS SQS, Kinesis or Kafka

Responsibilities

Write code that captures the essential nature of the solution and is appropriately flexible, reusable, efficient, and adaptable to changing requirements.
Provide high quality code review feedback and adopt approaches to foster effective and collaborative code review culture.
Responsible for successful delivery of their projects, including planning, risk management, design, development, testing, rollout, and maintenance.
Identify ways to simplify application code/infrastructure and improve developer efficiency as measured by cycle time, ramp-up time, or other similar measurements.
Preemptively identify and resolve technical risks before they jeopardize the project.
Resolve cross-team dependencies earlier to ensure the successful execution of the project.
Design the software or systems in the owned area and ensuring that they meet their design objectives.
Give quality feedback on designs written by other members of the team, asking probing, insightful questions that solidify choices and surface erroneous assumptions.
Effectively and quickly debug cross-module issues, and may intuit where bugs might lie due to deep knowledge of the libraries, platforms, and systems that the software relies on.
Create coherent designs with multiple components interacting across API or system boundaries; bugs do not creep in at the boundaries between components due to mismatches in expectations of what is technically feasible.
Capable of rolling out a component or major feature (and deprecating an existing system or feature) reliably - including appropriate monitoring, paging, etc are in place, and that failure domains are understood and characterized appropriately, avoid introducing toil and future maintenance work by proactively avoiding scaling issues and providing adequate documentation before large scale rollout.
For early stage products, roll out with an eye toward achieving learning goals untainted by poor quality and know when to make appropriate tradeoffs for “failing fast”.
Design clear success metrics and achieve those metrics consistently post-launch through the lifetime of the system or feature.
For early stage products, those success metrics may be oriented around learning goals rather than usage goals, given the inherent unpredictability of achieving product/market fit.
Engage in listening sessions to increase learning to guide work/priorities.
Have a working knowledge of Alaffia Health’s strategy and organization structure to work effectively across the org and able to help other engineers to effectively collaborate effectively.
Collaborating cross functionally with other engineer disciplines, including fullstack, data, devops and AI engineers, as well as product, and business team to craft a feature-rich GenAI powered agentic workflow framework to speed up Alaffia Health’s AI agent development workflow.
Designing, developing, and deploying data intensive applications with python in a production environment.
Developing test suites and working with CI/CD tooling for automation.
Hands-on experience with relational databases and data model design.
Utilizing and improving observability practices that include logging and user activity metrics to integrate with Datadog and other observability tooling.