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JD –

Having experience in Implementing Integration Solutions using Oracle Integration Cloud Service.

Developed integration between SaaS application (Oracle Cloud ERP, Oracle Cloud HCM) and between SaaS and PaaS application

Should have worked extensively on minimum 3-4 Technology Adapters like File, Database, Oracle ERP & FTP adapter

Should have excellent skill in Web Service technologies such as XML, XPath, XSLT, SOAP, WSDL, and XSD

Experience in all phases of software development lifecycle from gathering requirements to documentation, testing, implementation and support Ability to troubleshoot technical and configuration issues

Should be able to communicate effectively with the functional & technical groups and various technical team members.

Ensure completion of tasks, milestones, and components including Technical specifications, design specifications, configurations, quality assurance, implementations, and project reviews

Generative AI Engineer 

Role Overview:

You will be responsible for the hands-on development, coding, and deployment of AI-powered features. Your focus is on writing clean, efficient code to integrate LLMs into our existing tech stack, building robust data pipelines for RAG, and ensuring the reliability of model outputs through rigorous testing and optimization.

Key Responsibilities

• Application Implementation: Code and integrate LLM APIs (OpenAI, Anthropic, etc.) or local models into backend services using Python, FastAPI, etc.,
• MCP Server Development: Design and implement custom MCP servers using the official SDKs (Python/TypeScript) to expose internal databases, APIs, and file systems to AI agents.
• RAG Implementation: Build and maintain the "plumbing" for Retrieval-Augmented Generation—specifically coding the data ingestion scripts, text chunking logic, and metadata filtering.
• Vector DB Management: Perform day-to-day operations on vector databases (Pinecone, Milvus, etc.), including indexing, querying, and optimizing search retrieval.
• Prompt Programming: Develop, version-control, and refine complex prompt templates (using Jinja2 or similar) to ensure consistent structured outputs (JSON/YAML).
• Agent Development: Implement multi-step workflows using LangChain, LangGraph, CrewAI etc.,, focusing on tool-calling logic and error handling.
• Evaluation & Testing: Build automated test suites to detect "hallucinations" and measure accuracy using frameworks.
• Performance Tuning: Implement caching layers and streaming responses to reduce latency and improve the end-user experience; Token optimization.
• Data Pre-processing: Clean and tokenize datasets for model fine-tuning or high-quality context retrieval.

Technical Skills (The "Execution" Stack)

• Language: Advanced Python (Asyncio, Pydantic) and optional TypeScript/Node.js (for full-stack integration).
• AI Frameworks: Hands-on experience with any of LangChain, LlamaIndex, and Hugging Face Transformers. RAG and Vector search concepts.
• Data Handling: Proficiency in SQL and handling unstructured data formats (PDFs, Markdown, JSON).
• Deployment: Practical experience with Docker, GitHub Actions (CI/CD), and experience with OpenTelemetry, LangSmith, Weights & Biases etc., Understanding of evaluation/guardrails.
• MCP/API Proficiency: Deep understanding of RESTful APIs, Streaming HTTP, MCP server vs client, JSONRPC

Job Title: Senior Node.js Developer

Company: Transact Bridge

Location: Noida, Uttar Pradesh

Experience: 4–7 Years

Industry: FinTech / Payments / Cross-Border Commerce (LinkedIn)

About the Company:

Transact Bridge is a fast-growing fintech company enabling global businesses to expand into India through its Merchant of Record (MoR) infrastructure. The company specialises in payment processing, compliance management, subscription billing, taxation, and cross-border payment solutions for global SaaS, digital product, and e-commerce businesses. (LinkedIn).

Role Overview:

We are looking for a highly skilled Senior Node.js Developer to join our engineering team. The ideal candidate will have strong experience building scalable backend systems, APIs, and microservices in high-growth product environments. Experience in fintech, payment gateways, subscription platforms, or transaction-heavy applications will be a strong advantage.

Key Responsibilities:

• Design, develop, and maintain scalable backend applications using Node.js and TypeScript.
• Build and optimize RESTful APIs and microservices architecture.
• Integrate payment gateways, third-party APIs, and external services.
• Develop secure, high-performance, and fault-tolerant systems.
• Collaborate with product, frontend, and DevOps teams to deliver new features.
• Optimize database performance and ensure data integrity.
• Write clean, reusable, and maintainable code following best practices.
• Participate in code reviews, architecture discussions, and technical planning.
• Troubleshoot production issues and implement long-term solutions.
• Ensure application security, scalability, and compliance standards.

Required Skills:

• 4–7 years of experience in backend development.
• Strong expertise in Node.js, Express.js, and TypeScript.
• Experience building REST APIs and microservices.
• Strong understanding of asynchronous programming and event-driven architecture.
• Hands-on experience with MongoDB or similar databases.
• Experience with Redis, caching strategies, and queue management systems.
• Familiarity with AWS, Lambda, Docker, and cloud-native applications.
• Knowledge of Git, Github workflow pipelines, and software development best practices.
• Strong problem-solving and debugging skills.

Good to Have:

• Experience in FinTech, Payments, Banking, SaaS, or Subscription-based products.
• Exposure to payment gateways, UPI, recurring payments, and transaction processing.
• Experience with GraphQL, Kafka, RabbitMQ, or similar technologies.
• Knowledge of system design and distributed architectures. (Get Me Referred)

What We Offer:

• Opportunity to work on a global fintech product.
• Exposure to cross-border payment infrastructure and high-scale systems.
• Fast-paced startup environment with ownership and growth opportunities.
• Collaborative engineering culture and direct impact on product development.
• Competitive compensation and performance-driven growth.

We Required people for Life insurance process.

Should have good experience of life insurance sales or Health Insurance sales

Salary would be 2.50 lac to 6 lac , hike on your last CTC

Job location Pan India

As a Area Manager, you will be responsible for facilitating hiring, induction, training and coaching of sales team and distributor.

• Continuously engaging/enhancing capability of the team through personal intervention
• Developing reporting mechanism for sales staff
• Managing regular review, system and processes with frontline sales staff and distributors
• Contributing towards achieving penetration and share objective
• Influencing distributors to carry stock and adhering to route plans that ensure implementation of trade and consumer promotional plan
• Ensuring adequate daily stock replenishment to meet weekly, monthly and quarterly targets through accurate forecasting
• Utilizing market intelligence to build quality retailers data base to launch focus sales drives
• Ensuring to achieve width and depth of distribution norms for company products through sales staff and distributors
• Overall value/volume target achievement in assigned territory

Desired Candidate Profile

• Excellent verbal and written communication skills
• Good coordination skills
• Prior experience in managing a team    

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering