Graphic Designer

Company Description

Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.

From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.

With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.

About the Role

Our client is hiring a Backend Engineer (India-based, Remote) to design, build, and scale the core memory infrastructure powering production-grade AI agents.

This role is intended for an experienced engineer with 7–10 years of backend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.

The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.

Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.

What You'll Own

• Build and scale backend systems powering the memory infrastructure of the product
• Own and deliver features end-to-end, integrating AI coding tools into the core development workflow
• Design, manage, and optimize database, storage, and retrieval systems for persistent memory
• Collaborate closely on system architecture, scalability, performance, and reliability engineering
• Contribute directly to product roadmap decisions based on real customer usage and production insights

Requirements

Must-Have

• 7–10 years of backend engineering experience
• Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
• Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
• Strong Python fundamentals
• Strong PostgreSQL or comparable relational database fundamentals
• Comfort owning systems end-to-end in production
• Based in India, remote work from anywhere in the country

Nice-to-Have

• Prior AI infrastructure or developer tools product experience
• FastAPI fluency
• Open-source contributions in AI, memory, vector databases, or developer tools
• Prior experience in memory systems, RAG pipelines, or vector database engineering
• Public technical writing or conference talks on AI-native engineering practices

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

Job Summary:

We are looking for an experienced MERN Project Manager to lead and oversee the development and maintenance of our MERN (MongoDB, Express.js, React.js, Node.js) stack projects. The ideal candidate will have a strong technical background, excellent communication skills, and the ability to manage cross-functional teams to deliver high-quality software solutions on time and within budget.

Key Responsibilities:

1. Project Planning & Execution:

• Define project scope, goals, and deliverables in collaboration with stakeholders.
• Develop detailed project plans, timelines, and milestones.
• Monitor project progress, identify risks, and implement mitigation strategies.

1. Team Management:

• Lead, mentor, and manage the development team, ensuring alignment with project goals.
• Allocate tasks and responsibilities among team members based on expertise and project needs.
• Conduct regular team meetings to track progress and address challenges.

1. Technical Oversight:

• Provide technical guidance and ensure best practices in the MERN stack development process.
• Review code and ensure adherence to coding standards, scalability, and performance optimization.
• Collaborate with DevOps for CI/CD pipeline implementation and AWS/EC2 infrastructure management.

1. Stakeholder Communication:

• Act as the primary point of contact for clients and stakeholders.
• Provide regular updates on project status, milestones, and potential roadblocks.
• Gather and translate business requirements into technical specifications.

1. Quality Assurance:

• Ensure proper testing and debugging practices are followed.
• Facilitate UAT (User Acceptance Testing) and incorporate feedback into the development cycle.
• Oversee deployment and post-deployment support.

1. Documentation & Reporting:

• Maintain comprehensive project documentation, including requirements, design, and progress reports.
• Prepare and deliver project status reports to management and stakeholders.

Required Skills & Qualifications:

 Educational Background:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

 Technical Skills:

• Strong hands-on experience with MongoDB, Express.js, React.js, and Node.js.
• Familiarity with DevOps practices, especially in AWS EC2 environments.
• Proficiency in Git and version control systems.
• Experience with Agile/Scrum methodologies.

 Soft Skills:

• Excellent problem-solving and decision-making abilities.
• Strong leadership and team management skills.
• Exceptional verbal and written communication skills.

 Preferred Qualifications:

• Certifications in project management (PMP, Agile, or Scrum Master).
• Experience with additional cloud platforms or DevOps tools.
• Prior experience managing MERN stack projects at scale.

Functional: Manual Functional Testing of Web and Mobile Applications, Writing Test Cases, Regression Testing, Data Verification, GIT & JIRA, Basic Automation Testing,
Testing feeds - Understanding of JSON and XML structures, Testing tools like Postman, Swagger & Charles Proxy, Browser Development Tools,GIT & JIRA.

Position description: 2+ years of hands on experience in testing.

Primary Responsibilities:

• To work closely with software developers and product planners to understand more about what the product is for, its key features and the intended audience
• Required to carry out a mix of key functional and non-functional tests such as Sanity, Regression, Load, Security and Deployment
• Required to plan test cases in consultation with the stake holders
• Required to document all bugs and findings of these tests and ensuring they are addressed

Required Skills:

Mandatory: Passionate about sports, Problem solving, Team player, Target & Result oriented.

• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Keep up-to-date with latest technology trends
• Communicate results and ideas to key decision makers
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design

Qualifications/Requirements:

• Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
• 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent communication skills written, verbal and presentation

Desired Experience:

• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Knowledge and experience with NLP technology
• Previous work in a start-up environment