Backend Developer

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We 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 a Software Engineer to join our engineering team (currently 5 teammates). We're looking for someone who is an all-rounder, but has particularly exceptional backend engineering skills.

Our ideal candidate has built AI agents at the orchestration layer level and leveraged clever engineering techniques to improve latency & reliability for complex workflows.

We pay well above market for the country's best talent and provide a number of excellent perks.

Responsibilities

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.

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

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.
• Live on the bleeding-edge ensuring that every week, we have the most cutting edge agents as the industry evolves.

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).

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 :)

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

• 3+ years of experience in the Development in JAVA technology.
• AWS or cloud Experience
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Java Full Stack Developer

Notice Period: 45 days / Immediate Joining

Banyan Data Services (BDS) is a US-based Infrastructure Services Company, headquartered in San Jose, California, USA. It provides the full stack managed services to support the business applications and data infrastructure 

We are looking for a Java Full Stack Developer who has the expertise and deep knowledge of frameworks and tools used in java and who works end to end on the application stack, right from developing the front end, the back-end module & the database.

It's a once-in-a-lifetime opportunity to join our start-up run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges

Key Responsibilities

· Ability to write high-quality code efficiently

· Design and develop new services or micro-services.

· Participate in planning and management of development process.

· Share architectural design vision with both technical and non-technical team members, including fellow engineers.

· Works on improvements in development toolset including testing frameworks, deployment scripts, and monitoring libraries.

· Experience solving complex problems and implementing solutions for performance and scalability.

· Write clean, well-structured and maintainable code with automated test coverage and corresponding documentation.

· Explore new latest relevant technology, techniques, frameworks, tools, methodologies, and processes.

· Comfortable working with all aspects of software development; including DevOps, quality assurance, research, and design.

Key Requirements

· 3+ years of experience working with Core Java, Spring framework & Spring Boot, Hibernate, Spring Data JPA.

· Knowledge of microservices architecture is mandatory.

· Must have worked on Java Multi-threading & Java NIO.

· At least 1-year of experience with front-end technologies like Angular, React, Vue.js applications.

· Exposure to any of relation database technologies MySQL, Postgres, Oracle, or any No-SQL database.

· Strong knowledge of Web APIs.

· Experience with agile application development.

· Having knowledge of O Auth 2.0 JWT is a plus.

· Proficiency in one or more modern programming languages i. e. Java or J2EE, Python, Go, React.

· Experience in Cloud Technologies including AWS, containers, and Kubernetes.

· Demonstrated experience in performing DevOps for platforms.

· Strong Skill sets in Data Structures & Algorithm in using efficient way of code complexity.

· Passion for learning new technologies and the ability to do so quickly

http://www.banyandata.com" target="_blank">www.banyandata.com 

Required Skills:

• Expert in Python and Django framework
• Expert in developing backend applications with RESTful APIs Using Django Rest Framework
• Good understanding of front-end technologies, such as JavaScript, ReactJS , HTML5, and CSS3
• Understanding of fundamental design principles behind a scalable application
• Proficient understanding of GitHub
• Strong programming basics, with a clear understanding of Object-Oriented and Functional programming.
• Good communication skills and ability to work with global teams to define and deliver on projects.