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Job Title : Senior Backend Engineer – Java, AI & Automation
Experience : 4+ Years
Location : Any Cognizant location (India)
Work Mode : Hybrid
Interview Rounds :
- Virtual
- Face-to-Face (In-person)
Job Description :
Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.
You'll work on scalable backend systems powering millions of daily transactions across Intuit products.
Key Qualifications :
- 4+ years of backend development experience.
- Strong in Java, Spring framework.
- Experience with microservices, databases, and web applications.
- Proficient in AWS and cloud-based systems.
- Exposure to AI and automation tools (Workato preferred).
- Python development experience.
- Strong communication skills.
- Comfortable with occasional US shift overlap.
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
Job Description – AI Tech Lead
Location: Bangaluru
Experience: 10+ Years
Function: AI Center of Excellence (CoE)
Reporting To: Senior Vice President – CX / Head of AI CoE
We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.
2. Key Responsibilities
A. Solution Architecture & Strategy
- Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
- Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
- Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
- Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.
B. Project Delivery & Execution Leadership
- Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
- Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
- Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
- Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.
C. Technical Hands-on Expertise
- Architect and build complex AI systems involving:
- Large Language Models (LLMs) & GenAI apps
- Agentic workflows and autonomous task orchestration
- Predictive modeling, forecasting, optimization, and statistical modeling
- Knowledge graphs, vector databases, embeddings
- Data engineering pipelines (ETL/ELT) and cloud-native architectures
- Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.
D. Team Leadership & Mentoring
- Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
- Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
- Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.
E. Stakeholder & Client Management
- Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
- Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
- Support pre-sales with solutioning, effort estimation, and technical presentations.
3. A. Technical Skills
- Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
- Hands-on experience building applications using:
- LLMs, RAG, fine‑tuning, prompt engineering
- Autonomous AI agents & multi-agent systems
- Predictive ML models (Regression, Classification, Clustering, NLP, CV)
- Expertise in microservices architecture, API design, scalable deployments.
- Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
- Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.
B. Functional & Domain Skills
- Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
- Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.
C. Leadership & Soft Skills
- Strong team leadership and mentoring experience.
- Excellent communication, client-facing abilities, and stakeholder management skills.
- Strong decision-making, problem-solving, and delivery ownership.
4. Qualifications
- Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
- 10–15 years total experience with at least 5+ years leading AI/ML projects.
- Demonstrated success delivering large-scale AI programs in enterprise environments.
- Certifications in AI/ML, cloud, or architecture (preferred).
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 Details
- Job Title: Android Developer
- Industry: IT- Services
- Function - Information technology (IT)
- Experience Required: 5-8 years
- Employment Type: Full Time
- Job Location: Delhi
- CTC Range: Best in Industry
Criteria:
· Strong technical background in Android application development and Kotlin
· Looking candidates having 5+ years of experience.
· Need candidates from Delhi NCR Only.
· All Academic backgrounds acceptable (except BCA).
· Immediate Joiners Preferred
· Candidate must have some experience working with IoT devices.
· Candidate should have experience working with Camera model X.
· Candidate's Academic scores must be 70% or above.
· Candidate having fluent communication will be an added advantage.
Job Description
About the Role:
Senior Android Team Lead will be responsible for testing, QC, debugging support for various Android and Java software/servers for products developed or procured by the company. The role includes debugging integration issues, handling on-field deployment challenges, and suggesting improvements or structured solutions. The candidate will also be responsible for scaling the architecture. You will work closely with other team members including Web Developers, Software Developers, Application Engineers, and Product Managers to test and deploy existing products. You will act as a Team Lead to coordinate and organize team efforts toward successful completion or demo of applications. This includes implementing projects from conception to deployment.
Responsibilities:
â— Working with the Android SDK, Java, Kotlin, NDK
â— Handling different Android versions and screen sizes
â— Applying Android UI design principles, patterns, and best practices
Requirements:
â— Strong technical background in Android application development and Kotlin
â— Solid programming skills
â— Detail-oriented with strong attention to specifics
â— Excellent written and verbal communication skills
â— Strong analytical and quick problem-solving ability
â— Ability to quickly document requirements from open discussions
â— Fast typing skills for documentation and communication
â— Familiarity with JIRA, EPICs, Excel, Google Sheets, and Agile methodologies
â— Team player with leadership qualities
â— Decision-making ability and team management skills
â— Interest in working in a startup environment with cutting-edge products
â— Experience with design and architecture patterns
â— Understanding of testing processes, debugging, code versioning, and repositories
â— UI/UX experience
â— Strong knowledge of Java & Kotlin
â— Software development experience with strong coding skills
â— Experience building services for data delivery to mobile clients
â— Experience with relational and non-relational databases
â— Knowledge of REST and JSON data handling
â— Experience with libraries like Retrofit, RxJava, Dagger 2, Lottie
â— Server integration (REST endpoints)
â— Experience with AWS stack and Linux
â— Apps shipped and available on Google Play
â— Backend API development
â— Familiarity with Android Studio, Eclipse IDE
â— Good knowledge of mobile hardware, software, and operating systems
â— Willingness to work in a fast-paced startup environment
â— Strong oral communication and presentation skills
â— Team-oriented, with a positive approach to technology and engineering
â— Result-oriented with a focus on efficiency and timeliness
â— Strong self-awareness and ability to work under deadlines
â— Proficiency in Microsoft Project, PowerPoint, Excel, Word
â— Willingness to mentor and manage team members
â— Willing to travel 5–10% of the time for demos, training, and collaboration
Preferred Background:
â— Understanding of Artificial Intelligence and Machine Learning
â— B.S. / M.S. in Computer Science, Electrical, or Electronics Engineering
â— 5+ years’ experience with Android, Java Server, JSP
â— Experience with Virtual Reality and Augmented Reality
â— Familiarity with Test-Driven Development
â— Background in CS or ECE
â— Python experience is a big plus
â— iOS development knowledge (not mandatory)
â— Strong foundation in data structures and algorithms
About RapidClaims
RapidClaims is a leader in AI-driven revenue cycle management, transforming medical
coding and revenue operations with cutting-edge technology.
The company has raised $11 million in total funding from top investors, including Accel
and Together Fund.
Join us as we scale a cloud-native platform that runs transformer-based Large Language
Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll
engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at
lightning speed, deliver reimbursement insights with sub-second latency and >99 %
accuracy, and tackle the deep-domain challenges that make clinical AI one of the
hardest—and most rewarding—problems in tech.
Engineering Manager- Job Overview
We are looking for an Engineering Manager who can lead a team of engineers while
staying deeply involved in technical decisions. This role requires a strong mix of people
leadership, system design expertise, and execution focus to deliver high-quality product
features at speed. You will work closely with Product and Leadership to translate
requirements into scalable technical solutions and build a high-performance engineering
culture.
Key Responsibilities:
● Lead, mentor, and grow a team of software engineers
● Drive end-to-end ownership of product features from design to deployment
● Work closely with Product to translate requirements into technical solutions
● Define architecture and ensure scalability, reliability, and performance
● Establish engineering best practices, code quality, and review standards
● Improve development velocity, sprint planning, and execution discipline
● Hire strong engineering talent and build a solid team
● Create a culture of accountability, ownership, and problem-solving
● Ensure timely releases without compromising quality
● Stay hands-on with critical technical decisions and reviews
.
Requirements:
● 5+ years of software engineering experience, with 2+ years in team leadership
● Strong experience in building and scaling backend systems and APIs
● Experience working in a product/startup environment
● Good understanding of system design, architecture, and databases
● Ability to manage engineers while remaining technically credible
● Strong problem-solving and decision-making skills
● Experience working closely with Product teams
● High ownership mindset and bias for action
Good to Have
● Experience in healthcare tech / automation / RPA / AI tools
● Experience building internal tools and workflow systems
● Exposure to cloud infrastructure (AWS/GCP/Azure)
About the Role
We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.
You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.
This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.
Key Responsibilities
- Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
- Train and optimize models for realistic facial reenactment and temporal consistency.
- Work with GANs, VAEs, and diffusion models for video synthesis.
- Handle dataset creation, cleaning, and augmentation for face-video tasks.
- Collaborate with the AI core team to deploy trained models in production environments.
- Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.
Required Qualifications
- B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
- Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
- Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
- Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
- Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
- Good grasp of data preprocessing, model evaluation, and performance tuning.
Preferred Skills
- Prior hands-on experience with face-swap or lip-sync frameworks.
- Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
- Knowledge of multi-GPU training and model optimization.
- Familiarity with Rust / Python backend integration for inference pipelines.
What We Offer
- Work directly on production-grade AI video synthesis systems.
- Remote-first, flexible working hours.
- Mentorship from senior AI researchers and engineers.
- Opportunity to transition into a full-time role upon outstanding performance.
Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

🚀 Were Hiring: Staff Engineer – Computer Vision & Machine Learning 🚀
📍 Location: Gurugram
💼 Experience: 7-10 Years
About the Role
We are seeking a passionate Computer Vision and Machine Learning expert to develop advanced solutions in medical imaging. If you’re excited about challenges like image segmentation, object detection, and 3D reconstruction, let’s connect!
Mandatory Technical Skills:
✅ Programming Languages: Proficiency in C++, Python, and C#.
✅ Computer Vision Expertise: Experience with OpenCV for tasks such as:
- Image Segmentation
- Object Detection
- Pattern Recognition
- 3D Reconstruction
- ✅ ML/DL Frameworks: Proficiency in TensorFlow, PyTorch; hands-on experience with models like YOLO, U-Net, ResNet, VGG.
- ✅ Image Processing: Strong understanding of:
- Color-space transformations
- Histogram/Contrast enhancement
- Morphology and frequency domain filtering
- ✅ Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, Ultrasound.
- ✅ Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills.
Additional Preferred Skills:
🔹 Advanced C++ (STL, multithreading, design patterns).
🔹 Python libraries: Numpy, Pandas, Scikit-learn.
🔹 Knowledge of tools like VTK, ITK, or MITK.
🔹 Understanding of healthcare regulations (e.g., FDA, CE).
Why This Role?
You’ll build cutting-edge Computer Vision and Machine Learning solutions for healthcare, making a meaningful impact on lives.

- Experience building and managing large scale data/analytics systems.
- Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
- Be passionate about writing code and have experience coding in multiple languages, including at least
one scripting language, preferably Python.
- Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision
is right/wrong, and so on.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- Have exposure and working knowledge in AI environment with Machine learning experience
- Have experience working with multiple storage and indexing technologies such as MySQL, Redis,
MongoDB, Cassandra, Elastic.
- Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana,
Graylog, StatsD, Datadog etc
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch








