Backend Developer Intern - Python/Django

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator and recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for an exceptional engineer to join our engineering team (currently 6 teammates). We're looking for someone who is an all-rounder, but has particularly exceptional backend engineering skills.

In this role, you will have the opportunity to build state-of-the-art AI agents, and learn what it takes to build an industry-leading multimodal, multi-agent suite.

Responsibilities

You'll wear many hats. Your responsibilities will fall into 3 categories:

Full-Stack Engineering (80% backend, 20% frontend)

• Lead the team in designing scalable architecture to support performant web applications.
• Develop features end-to-end for our web applications (Typescript, nodeJS, python etc).

AI Engineering

• Develop AI agents with a high bar for reliability and performance.
• Build SOTA LLM-powered tools for providers, practices, and patients.
• Architect our data annotation, fine tuning, and RLHF workflows.

Product Management

• Propose, scope, and prioritize new feature ideas. Yes, engineers on our team get to be leaders and propose new features themselves!
• Lead the team in building best-in-class user experiences.

Requirements

You do not need AI experience to apply to this role. While we prefer candidates that have some AI experience, we have hired engineers before that do not have any, but have demonstrated that they are very fast learners.

We prefer candidates who have worked as a founding engineer at an early stage startup (Seed or Preseed) or a Senior Software Engineer at a Series A or B startup.

Perks of Working at Asha Health

#1 Build cool stuff: work on the latest, cutting-edge tech (build frontier AI agents with technologies that evolve every 2 weeks).

#2 Surround yourself with top talent: our team includes senior AI product leaders from companies like Google, experienced physician executives, and top 1% engineering talent (the best of the best).

#3 Rocketship trajectory: we get more customer interest than we have time to onboard, it's a good problem to have :)

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

About KAFQA

At Kafqa, we are building the next generation performing arts platform. Our mission is to transform how India learns, performs & watchers performing arts. We are currently in stealth mode with a target public launch date in April. Our launch services consist of technology enabled dance classes in our proprietary studios, production facilities and social media broadcasting & competitions.

Founder & Team

The founder is Shariq Plasticwala. He is a graduate of IIT Bombay & Stanford GSB. He was part of the founding team of Amazon India where he played a key role for over 8 years. Among his roles at Amazon, he was the CEO of Amazon’s first joint venture in India and a Board Member of Amazon’s payments business. The other members of the founding team consist of senior executives from Shiamak Davar & Byju’s.

Background

• At least 1+ years’ experience in back-end development in a fast-paced environment, working in Python & Django Framework
• Deep understanding of technologies used in web-deployed SaaS products, including Rest APIs
• Exposure to AWS, Azure or other cloud providers

Opportunity

We will share our workload as a team and we expect you to work on a broad range of tasks. Here’s are some of the things you might have to do on any given day:

• Developing APIs and endpoints for deployments of our product
• Infrastructure Development such as building databases, creating and maintaining automated jobs
• Build out the back-end to deploy and scale our product
• Build POCs for client deployments
• Document your code, write test cases, etc.

Skills

• Hands-on experience with Python (1+ years)
• Sound understanding of Postgres and NoSQL databases such as MongoDB
• Deep familiarity with UNIX, major cloud platforms (AWS, Azure), DevOps
• Understanding of databases, and related tools, paradigms

We're looking for someone to join a team dedicated to building performant APIs and backend services that deal with large volumes of data for the company's flagship, global consumer product. Small, high-impact teams require conscious planning and decision-making when it comes to design, architecture, and product features. So, it's essential that you enjoy working in such an environment.

We're a team that cares about simplicity and being able to build reliable, deterministic systems and platforms. Hence, our choice of tooling is usually battle-tested reliable software with a robust test suite.

How we work

1. You won't deal with the hustle culture. We're focused on building well-thought-out, stable and reliable software and we try our best to ensure everyone understands the big picture and the immediate goals.
2. We work a solid 6-8 hour days and don't slave away 24/7.
3. We're a remote engineering team. This makes effective communication extremely important. Our teams have benefitted greatly from good written communication. This includes everything from the product specification to the API spec. We spend a lot of time writing READMEs. As a result our engineers work with greater clarity and planning.
4. We deploy several times a day and rely on a good test suite to ensure we're not making life hard for our colleagues.
5. We don't expect anyone to know everything, but we are curious and learn along the way.
6. We learn about the fitness space and what it means to really be fit and not just Instagram fit.

The Python Backend Engineer position may be a good fit for you if:

1. You have 3 (or more) years of experience building and maintaining cloud applications.
2. You have built APIs with Python, Flask, Django or FastAPI before.
3. You have experience working with relational databases like PostgresSQL or MySQL and have spent time writing SQL queries for large datasets.
4. Experience in writing Unit tests with pytest.
5. You have worked with Docker, docker-compose.
6. Familiarity with the AWS ECS stack.

We want you to care about

1. Good object oriented design
2. Performant APIs
3. Analysing why queries are slow and how to go about improving them.
4. Understanding DNS, Load balancing, Caching and Hashing.
5. Customer data and privacy.

Our API Stack services use:

1. Python 3.8+, Typescript
2. FastAPI, Flask, HapiJs
3. PostgresSQL, MySQL
4. Redis
5. Celery
6. Pytest, Jest for unit testing.
7. Gitlab CI/CD
8. Amazon ECS container services

Years of Experience:- 1.5+

Qualification:- BE Computer Engineering/MCA

Industry:- Software
Location:- Andheri

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.

Requirements:

• Passion for building and delivering great software with a strong sense of ownership.
• Good understanding into .Net Core and PS
• Minimum of two years of experience in building web applications using ASP.NET MVC and .NET platform in general.
• Should have strong UI development skills using HTML, CSS/JavaScript frameworks.-

     Good understanding of IIS configuration

• Strong experience with Build and Release, Agile processes and Estimation/Planning-
  
  Exposure to New Relic or similar tools to optimize web application performance
  Strong expertise in SQL programming, with experience of writing & optimizing queries that access/process millions of records-
  Experience of architecting and designing web applications and servicesTeam TA,LeadSquared (ref:hirist.com)