HR Generalist Manager

Engineer the Future of AI-Powered Recruitment Applications

About Us:

At PyjamaHR, we're creating recruitment software so intuitive you could use it in your pajamas. We integrate cutting-edge LLMs and Generative AI technologies into practical, powerful applications that are transforming how 525+ companies hire talent. While others are still talking about AI potential, we're shipping AI-powered features that deliver real value. As we scale from Bangalore to the US market, we need exceptional full-stack talent who can turn advanced AI capabilities into elegant, user-friendly experiences.

The Role:

As a Senior Full-Stack Engineer at PyjamaHR, you'll build the applications and interfaces that bring our AI capabilities to life. This isn't about training models—it's about implementing, integrating, and optimizing Generative AI within robust full-stack applications. You'll work across our entire technology ecosystem to create seamless experiences that leverage AI to solve real recruitment challenges. Your code will directly impact how companies discover, evaluate, and hire talent.

What You'll Do:

• Implement AI-Powered Features - Integrate Generative AI capabilities into practical, user-facing applications
• Build End-to-End Solutions - Develop both frontend experiences and backend services that leverage AI capabilities
• Create Scalable Architectures - Design systems that grow with our rapidly expanding user base
• Optimize Performance - Ensure our applications remain responsive even when processing complex AI operations
• Enhance User Experiences - Translate advanced AI capabilities into intuitive, accessible interfaces
• Drive Technical Excellence - Set standards for code quality and engineering practices across the team
• Collaborate Across Functions - Work with product, design, and data teams to deliver cohesive solutions
• Solve Complex Challenges - Apply your technical creativity to the unique problems of AI-powered recruitment

Who We're Looking For:

• 3-5 years of full-stack development experience building production applications
• Experience implementing and integrating Generative AI into web applications
• Expertise with either Django/React or Node.js/React technology stacks
• Strong experience with cloud platforms (Azure preferred, AWS acceptable)
• Proven ability to build performant, scalable web applications
• Excellence in modern JavaScript/TypeScript and frontend development
• Solid understanding of software architecture principles
• Product-minded approach to engineering decisions
• Ability to thrive in fast-paced environments with evolving priorities
• Bachelor's or higher in Computer Science or equivalent practical experience

The Rewards:

• Salary range of ₹30-40 LPA for exceptional talent (with room to negotiate for truly outstanding candidates)
• Equity package with significant growth potential
• Minimal bureaucracy and maximum impact
• Autonomy to make important technical decisions
• The opportunity to shape an industry-leading product
• Collaborative, innovation-focused work environment

Location: Bangalore (Koramangala 8th Block)

This role is perfect for engineers who want to apply their full-stack expertise to implement cutting-edge AI technologies in real-world applications. If you're excited about building the interfaces and systems that make advanced AI accessible and valuable to users, we want to talk to you.

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

Responsibilities:

• Developing new user-facing features using JavaScript framework React JS.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code which works across platforms.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Should be able to take initiatives and ownership and build the products from scratch.
• Maintain code and write automated tests to ensure the product is of the highest quality.

Requirements:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Thorough understanding of React.js, JavaScript, HTML, CSS and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e. g., Immutable.js ).
• Knowledge of isomorphic React is a plus.
• Familiarity with RESTful APIs.
• Knowledge of functional and object-oriented programming.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end build pipelines and tools.
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools such as GIT.