Content Writer

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 :)

Key Responsibilities

Campaign Management

• Design/optimize LinkedIn ad campaigns for B2B tech lead gen, managing budgets up to $100K+.
• Develop audience strategies (job titles, company size, industry) and refine via performance analysis.
• Execute manual bids, retargeting, and A/B tests across formats (Sponsored Content, InMail, Text Ads).

Audience & Data

• Build custom audiences using client CRM/data and implement exclusion rules.
• Track lead quality and align targeting with sales pipelines.

Performance & Reporting

• Deliver client reports tying metrics (CTAs, conversions) to business goals.
• Collaborate with Google Ads teams for cross-platform attribution.

Technical Setup

• Implement LinkedIn Insight Tag, CRM integrations, and conversion tracking.

Requirements

• 2–3 years agency experience managing LinkedIn Ads for B2B / B2B SaaS clients.
• Proven skill in scaling budgets, manual bidding, and CRM integration.
• Strong analytics and ability to present data-driven insights to clients.
• Experience working with teams from Google Ads, SEO, or marketing automation.
• Knowledge of B2B sales cycles.

Why Join?

Drive measurable ROI for tech innovators and master LinkedIn’s evolving B2B ad ecosystem in a data-first environment.

What we offer:

• CTC: 7 LPA - 9 LPA
• Hybrid
• Health insurance
• Growth opportunities working directly with founders with backgrounds in Investment Banking, B2B SaaS leadership, and IIT/ISB education

If you're detail-oriented, results-driven, and excel at client management, we want to hear from you

Are you looking for an opportunity to solve new business challenges through innovative technology? If yes, Noon’s Private Label team is looking for TPM to build products/solutions for our Buyers/Vendors/Manufacturers.   You will investigate solutions to complex sourcing and supply chain problems, design solutions and work closely with the Engineering team to implement them. You will work closely with business teams, technical teams and operational teams alike.  You'll need to work well cross functionally, have strong interpersonal and written communication skills, be able to operate successfully both strategically and tactically, and have a strong bias for action. We’re looking for people who are passionate about innovation, can demonstrate a high degree of ownership, and want to have fun while they build excellent products.

• Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

• 12 to 15 yrs of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
• Understanding and Neural Language Modeling.
• Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.

Responsibilities:

Design and develop server-side web applications using Node.js

Write high-quality, testable, and scalable code

Collaborate with cross-functional teams to identify and prioritize features

Implement and maintain software design patterns and architecture

Troubleshoot and debug applications

Optimize application performance and scalability

Participate in code reviews and provide constructive feedback to improve code quality

Stay up-to-date with the latest developments in web technologies and frameworks

Requirements:

2-4 years of experience in developing server-side web applications using Node.js

Strong proficiency in JavaScript, with a good understanding of its ecosystem

Experience with popular Node.js frameworks such as Express or Hapi

Familiarity with database technologies such as MongoDB, MySQL, or PostgreSQL

Knowledge of web security best practices and techniques

Experience with Git and other version control systems

Ability to work in a fast-paced, agile environment

Good communication and teamwork skills

If you meet these qualifications and are passionate about developing high-quality, scalable web applications, we encourage you to apply for this position.

Designation    : Java Developer

Experience      : 3 - 10 Yrs

Location           : Baner, Pune

• Strong at Core Java and OOPs concepts
• Exposure to Spring, Spring Boot and Spring Security

• Exposure to implementation of RESTful APIs
• Exposure to programming using Queues and No SQL database
• Good understanding about JavaScript, JQuery and HTML
• Good understanding about Data Structures and Multithreaded Programming
• Good understanding about Design Patterns