Advanced AI

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 Frontend Engineer in India to build the product surface for the memory platform. The seat is for an engineer with 7-10 years of experience who has internalized AI-native engineering: building with Claude Code, Codex, Cursor, Windsurf, or comparable tools as a core part of how they ship.

This role is intended for an experienced engineer with 7–10 years of Frontend 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 the frontend product surface that customers interact with
• Ship features end-to-end, designing and debugging with AI coding tools as part of the core workflow
• Own component architecture, design system, and UX quality across the product
• Collaborate with the backend team on API design and data layer integration
• Contribute to the product roadmap based on customer feedback

Requirements

Must-Have

• 7-10 years of frontend 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 React and TypeScript fundamentals
• Strong UI/UX engineering sensibility, ships polished customer-facing surfaces
• Comfort owning frontend systems end-to-end in production
• Based in India, remote work from anywhere in the country

Nice-to-Have

• Prior AI infrastructure, developer tools, or dashboard product UI experience
• Design engineering range or strong design taste
• Open-source contributions in frontend frameworks or developer tools
• Public technical writing or conference talks on AI-native frontend engineering
• Experience with modern frontend tooling (Next.js, Tailwind, shadcn/ui, Vercel)

Job description:

Interview Venue: H-28, ARV Park, Sector 63, Noida, Uttar Pradesh 201301

Job location: Noida

Experience: 1-2 years

Education: B.Tech or MCA

The procedure for the interview will be as follows:

• 1st Round - Machine Round
• 2nd Round- Communication Round
• 3rd Round – Assignment Round
• 4th Round - HR Round

Job Description:

• Profile: AI/ML Engineer
• Experience: 1-2 yrs
• Qualification : B.Tech/MCA
• Working Days: 5
• Job Nature: Permanent

Roles And Responsibilities:

1) Python Proficiency and API Integration:

Demonstrate strong proficiency in Python programming language.

Design and implement scalable, efficient, and maintainable code for machine learning applications.

Integrate machine learning models with APIs to facilitate seamless communication between different software components.

2) Machine Learning Model Deployment, Training, and Performance:

Develop and deploy machine learning models for real-world applications.

Conduct model training, optimization, and performance evaluation.

Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.

3) Large Language Model Understanding and Integration:

Possess a deep understanding of large language models (LLMs) and their applications.

Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.

Stay abreast of the latest advancements in large language models and contribute insights to the team.

4) Langchain and RAG-Based Systems (e.g., LLamaindex):

Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.

Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.

5) LLM Integration with Vector Databases (e.g., Pinecone):

Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.

Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.

6) Natural Language Processing (NLP):

Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation.

Experience with NLP libraries and frameworks like NLTK, SpaCy, Hugging Face Transformers

7) Computer Vision:

Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation.

Experience with computer vision libraries like OpenCV, PIL, and frameworks like TensorFlow, PyTorch, and Keras.

8) Deep Learning:

Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras.

Experience with model optimization, hyperparameter tuning, and transfer learning.

9) Data Manipulation:

Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.

Proficiency in data cleaning, preprocessing, and augmentation techniques.

Perks&Benefits:

• Employees & Family Health Insurance, EPF & ESIC.
• Free late-night meal facility.
• Innumerable in house & outdoor party.
• Various compensations & bonuses.
• No dress Code.
• Festival Celebration.
• Employees' B'day celebration.

MeltPlan | Planning Engine for the Built Environment

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders.

MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn health-tech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution.

What This Role Really Is

We are hiring a UI Engineering Lead with minimum 10 years of work exp,to drive frontend architecture scalable UI systems, and user experience across internal and external applications. The role involves building modern web applications using React, TypeScript, Next.js, Vite, and TailwindCSS, while leading reusable component development and microfrontend architecture using Module Federation. You will work closely with product and engineering teams, integrate Firebase services, and ensure frontend quality through Playwright and Vitest testing frameworks. The ideal candidate should have strong expertise in frontend engineering, scalable design systems, and modern UI architecture.

What You’ll Do

• Build and maintain scalable frontend applications using React, TypeScript, and Next.js
• Develop modern UI systems using TailwindCSS and reusable component patterns
• Work on microfrontend architecture using Module Federation
• Collaborate with product and design teams to deliver intuitive user experiences
• Integrate frontend applications with Firebase services
• Improve application performance, accessibility, and responsiveness
• Build and maintain frontend testing pipelines using Playwright and Vitest
• Participate in architecture discussions and frontend best practices
• Create reusable shared libraries and scalable frontend modules
• Optimize frontend developer experience and application maintainability
• Work closely with backend and platform teams for seamless integrations
• Contribute to code reviews, technical documentation, and engineering standards

What We’re Looking For

• Strong experience with React and TypeScript
• Hands-on experience with Next.js
• Experience building scalable frontend architectures
• Strong understanding of Microfrontend architecture and Module Federation
• Experience with Vite ecosystem
• Strong understanding of TailwindCSS and modern UI systems
• Experience integrating applications with Firebase
• Strong knowledge of frontend performance optimization
• Experience writing automated frontend tests using Playwright and Vitest
• Strong understanding of responsive design and accessibility
• Familiarity with component-driven development
• Experience working in fast-paced product environments
• Strong problem-solving and debugging skills
• Good communication and collaboration skills

Bonus if you’ve worked in early-stage startups or B2B SaaS.

Why MeltPlan

• Massive industry, real-world impact
• High ownership from day one
• Small team, zero bureaucracy
• Competitive comp + meaningful equity

How to Apply

Send us:

• Your GitHub
• Links to products you’ve shipped
• A short note on something you built that you’re proud of

We value builders. Show us what you’ve made.

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

Job Location: Gurgaon/Noida

Current Work Mode: Hybrid

Work Timings: AEST Timings

About the Role

We are looking for high-calibre Frontend Engineers with strong expertise in React or Angular to join a fast-paced branding and product experience initiative. This role will focus on delivering a premium UI/UX transformation, including a dashboard uplift, within a tight timeline.

This is a hands-on role suited for engineers who thrive in high-impact, fast-execution environments and can take ownership from concept to delivery.

Key Responsibilities

• Build and enhance modern, scalable front-end applications using React or Angular
• Drive the branding implementation across web interfaces and dashboards
• Collaborate closely with design, product, and backend teams
• Contribute to dashboard improvements, performance optimization, and usability enhancements
• Integrate front-end components with backend services (including .NET-based APIs)
• Leverage AI tools (e.g., Claude, ChatGPT, GitHub Copilot) to improve productivity, code quality, and development speed
• Ensure high standards of code quality, responsiveness, and cross-browser compatibility

Required Skills & Experience

• Strong hands-on experience with React.js or Angular (either is mandatory)
• Solid understanding of HTML, CSS, JavaScript/TypeScript
• Experience building data-driven dashboards and UI-heavy applications
• Working knowledge of .NET / C# backend integration
• Familiarity with or openness to using AI-assisted development tools (e.g., Claude, Copilot, ChatGPT)
• Strong eye for design, layout, and user experience
• Ability to work in fast-paced, deadline-driven environments

Nice to Have

• Experience with design systems or branding projects
• Exposure to performance optimization and front-end architecture
• Experience working in agile/sprint-based delivery models

What We’re Looking For

• Engineers who take ownership and move fast
• Strong problem-solvers with attention to detail
• Comfortable leveraging modern tools, including AI, to accelerate delivery
• Clear communicators who can collaborate across teams
• Comfortable working under tight timelines with high expectations

Why Join

• Opportunity to work on a high-visibility branding initiative
• Fast-paced environment with real impact
• Collaborative and outcome-driven team

Job Description -

Profile: Senior ML Lead

Experience Required: 10+ Years

Work Mode: Remote

Key Responsibilities:

• Design end-to-end AI/ML architectures including data ingestion, model development, training, deployment, and monitoring
• Evaluate and select appropriate ML algorithms, frameworks, and cloud platforms (Azure, Snowflake)
• Guide teams in model operationalization (MLOps), versioning, and retraining pipelines
• Ensure AI/ML solutions align with business goals, performance, and compliance requirements
• Collaborate with cross-functional teams on data strategy, governance, and AI adoption roadmap

Required Skills:

• Strong expertise in ML algorithms, Linear Regression, and modeling fundamentals
• Proficiency in Python with ML libraries and frameworks
• MLOps: CI/CD/CT pipelines for ML deployment with Azure
• Experience with OpenAI/Generative AI solutions
• Cloud-native services: Azure ML, Snowflake
• 8+ years in data science with at least 2 years in solution architecture role
• Experience with large-scale model deployment and performance tuning

Good-to-Have:

• Strong background in Computer Science or Data Science
• Azure certifications
• Experience in data governance and compliance

• Strong AI/ML OR Software Developer Profile
• Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC)
• Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems.
• Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG
• Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc

Company: Optimum Solutions

About the company: Optimum solutions is a leader in a sheet metal industry, provides sheet metal solutions to sheet metal fabricators with a proven track record of reliable product delivery. Starting from tools through software, machines, we are one stop shop for all your technology needs.

Role Overview:

• Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
• Implementing automated testing platforms, unit tests, and CICD Pipeline
• Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
• Understanding of container platform, such as Docker

Job Description

• We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
• Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
• You will be responsible for prompting and building use case Pipelines
• Perform the Evaluation of all the Gen-AI features and Usecase pipeline

Position: AI ML Engineer

Location: Chennai (Preference) and Bangalore

Minimum Qualification:  Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.

Experience:  4-6 years

CTC: 16.5 - 17 LPA

Employment Type:  Full Time

Key Responsibilities:

• Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
• Design and develop prompts suiting project needs
• Lead and manage team of prompt engineers
• Stakeholder management across business and domains as required for the projects
• Evaluating base models and benchmarking performance
• Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
•  Develop, deploy and maintain auto prompt solutions
• Design and implement minimum design standards for every use case involving prompt engineering

Skills and Qualifications

• Strong proficiency with Python, DJANGO framework and REGEX
• Good understanding of Machine learning framework Pytorch and Tensorflow
• Knowledge of Generative AI and RAG Pipeline
• Good in microservice design pattern and developing scalable application.
• Ability to build and consume REST API
• Fine tune and perform code optimization for better performance.
• Strong understanding on OOP and design thinking
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Good understanding of server-side templating languages
• Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
• Integration of APIs, multiple data sources and databases into one system
• Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
• Understanding fundamental design principles behind a scalable and distributed application
• Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
• Experience in deploying on Cloud platform like Azure or AWS
• Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform

We are looking for a proactive and skilled MEAN Stack Developer with 2–4 years of experience to join our growing team at Rudra Innovative Software Pvt. Ltd. The ideal candidate must have strong proficiency in Angular and TypeScript, along with hands-on experience in the full MEAN Stack (MongoDB, Express.js, Angular, Node.js). Exposure to microservices architecture is highly desirable.

Key Responsibilities:

• Develop, enhance, and maintain robust web applications using the MEAN stack
• Write clean, maintainable, and efficient code with a strong focus on Angular and TypeScript
• Integrate and manage RESTful APIs and backend services using Node.js and Express.js
• Collaborate closely with designers, testers, and other developers for end-to-end delivery
• Work on designing and developing microservices-based components where applicable
• Participate in daily standups, code reviews, and technical discussions
• Troubleshoot application issues, perform root cause analysis, and implement solutions

Required Skills:

• 2–3 years of solid experience with Angular (v18+) and TypeScript
• Awareness of current Angular features like standalone components and signals
• Strong foundation in JavaScript, HTML5, and CSS3
• Proficient in Node.js and Express.js development
• Familiar with MongoDB and writing optimized database queries
• Good understanding of RESTful APIs, JSON, and API integration
• Hands-on experience with Git and version control practices
• Exposure to microservices architecture and understanding of its types (e.g., API gateway, database per service, event-driven communication)
• Excellent debugging, problem-solving, and communication skills

Preferred Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field
• Prior experience working in Agile/Scrum environments
• Familiarity with Docker, Kubernetes, or any cloud services is a plus

What We Offer:

• Opportunity to work on exciting and challenging global projects
• Supportive, collaborative, and innovation-driven work environment
• Competitive compensation with performance-based incentives
• Ongoing training, learning resources, and growth opportunities