Graphic Designer

About TIFIN

TIFIN is an AI-first fintech platform backed by global leaders like J.P. Morgan, Morningstar, and Franklin Templeton. The company focuses on transforming wealth management through AI, data science, and personalized financial experiences.

Role Overview

We are looking for an LLM Engineer to build and scale intelligent AI-driven applications. You will work closely with product, design, and data teams to create conversational AI systems and personalized experiences using Large Language Models.

Key Responsibilities

Design and build LLM-powered applications and conversational AI systems

Develop and optimize prompt engineering strategies (Claude, OpenAI, etc.)

Implement RAG (Retrieval-Augmented Generation) pipelines

Fine-tune models using domain-specific data

Collaborate with product and design teams to build intuitive AI experiences

Build scalable AI workflows, APIs, and backend integrations

Experiment with new AI tools and architectures

Own end-to-end delivery of features

Required Skills & Experience

3–5 years of experience in AI/ML, NLP, or backend engineering

Hands-on experience with LLMs and Generative AI

Strong understanding of prompt engineering

Experience with RAG architectures and vector databases

Experience in fine-tuning models and embeddings

Strong proficiency in Python

Strong problem-solving and system design skills

Good to Have

Experience building chatbots or conversational AI platforms

Exposure to fintech or financial domain

Knowledge of LangChain, LlamaIndex, Pinecone, Weaviate, etc.

Experience with cloud platforms like AWS, GCP, or Azure

Why Join TIFIN

Work at the intersection of AI and fintech

Build global-scale, high-impact products

High ownership and fast-paced environment

Collaborative and innovation-driven culture

Ideal Candidate

Strong builder mindset with curiosity for AI

Comfortable working in fast-moving environments

Passionate about solving real-world problems using AI

Takes ownership and drives impact

Job Description:

• Strong hands-on experience in SAP ABAP development
• Expertise in Reports, Interfaces, Conversions, Enhancements, Forms (RICEF)
• Experience with ALV Reports, Smart Forms, SAP Scripts
• Good knowledge of Object-Oriented ABAP
• Exposure to BAPIs, RFCs, IDOCs
• Experience in debugging, performance tuning, and code optimization
• Ability to work closely with functional consultants and understand business requirements
• Good communication and problem-solving skills

Job Title: Lead - Monitoring

Location: Gurgaon

Experience Required: 8+ Years

Job Type: Full Time

Position Summary

We are seeking a highly skilled and motivated individual to join our team as Lead - Monitoring.

As the Lead - Monitoring, you will play a crucial role in overseeing and optimizing our systems and networks. Your responsibilities will include monitoring the performance metrics of our IT infrastructure. Additionally, you will lead troubleshooting efforts, identify and resolve system issues, and implement proactive measures to minimize downtime and disruptions.

This role requires a keen eye for detail, strong analytical skills, and the ability to collaborate effectively with technical teams to implement solutions and improve overall system performance.

Roles and Responsibilities

• Monitor System Performance:
• Oversee the monitoring of system performance metrics, including uptime, response times, and resource utilization, using monitoring tools such as Nagios, Microsoft SCOM, Site24X7, and other third-party tools, to ensure optimal performance and availability.
• Troubleshooting and Issue Resolution:
• Lead the identification, troubleshooting, and resolution of system issues, working closely with technical teams to implement solutions and minimize downtime.
• Capacity Planning:
• Develop and implement capacity planning strategies to forecast future resource needs and optimize system scalability and performance.
• Incident Response:
• Develop and maintain incident response protocols and procedures, including escalation paths and response timelines, to address system outages and critical incidents promptly.
• Monitoring Tools Management:
• Evaluate, select, and manage monitoring tools and technologies to support efficient and effective monitoring of systems, networks, and applications.
• Performance Analysis:
• Conduct performance analysis and trend analysis to identify potential bottlenecks, areas for improvement, and optimization opportunities.
• Cloud Monitoring:
• Implement and manage cloud monitoring solutions for platforms such as Azure and AWS, ensuring visibility into cloud-based resources, performance metrics, and cost optimization strategies. Monitor cloud infrastructure, services, and applications to identify and resolve issues proactively.
• Synthetic Monitoring:
• Design and implement synthetic monitoring solutions to simulate user interactions and transactions across applications, websites, and services. Analyze synthetic monitoring data to identify performance bottlenecks and optimize user experience.
• Documentation and Reporting:
• Maintain accurate documentation of monitoring processes, configurations, and incident reports. Generate regular reports on system performance, uptime, and incident resolution metrics.
• KPIs and Dashboards:
• Develop and publish key performance indicators (KPIs), dashboards, and other reporting mechanisms to provide insights into system performance, trends, and areas for improvement. Present findings and recommendations to stakeholders and management.
• Team Leadership:
• Provide leadership and guidance to monitoring team members, fostering a culture of collaboration, continuous improvement, and excellence in monitoring practices.

Skills and Qualifications

• Education:
• Bachelor’s degree in Computer Science, Information Technology, or a related field. (Master’s degree preferred)
• Experience:
• Proven experience (5+ years) in system monitoring, performance analysis, and incident response, preferably in a lead or supervisory role.
• Strong technical expertise in monitoring tools such as Nagios, Microsoft SCOM, Site24X7, and other third-party tools.
• Solid understanding of network protocols, server infrastructure, and cloud environments (e.g., AWS, Azure), with experience in cloud monitoring, synthetic monitoring, and optimization.
• Technical Skills:
• Experience with scripting languages (e.g., Python, PowerShell) for automation and monitoring tasks.
• Strong analytical, problem-solving, and decision-making skills.
• Soft Skills:
• Strong leadership, communication, and team collaboration abilities.
• Experience in publishing KPIs, dashboards, and other reporting mechanisms.

Good to Have Certifications (Preferred):

• ITIL Foundation
• Certified Monitoring Professional (CMP)
• Microsoft Certified: Azure Administrator Associate
• Microsoft Certified: SCOM (if available)

About the Role:

We are seeking an experienced Data Engineer to lead and execute the migration of existing Databricks-based pipelines to Snowflake. The role requires strong expertise in PySpark/Spark, Snowflake, DBT, and Airflow with additional exposure to DevOps and CI/CD practices. The candidate will be responsible for re-architecting data

pipelines, ensuring data consistency, scalability, and performance in Snowflake, and enabling robust automation and monitoring across environments.

Key Responsibilities

Databricks to Snowflake Migration

·       Analyze and understand existing pipelines and frameworks in Databricks (PySpark/Spark).

·       Re-architect pipelines for execution in Snowflake using efficient SQL-based processing.

·       Translate Databricks notebooks/jobs into Snowflake/DBT equivalents.

·       Ensure a smooth transition with data consistency, performance, and scalability.

Snowflake

·       Hands-on experience with storage integrations, staging (internal/external), Snowpipe, tables/views, COPY INTO, CREATE OR ALTER, and file formats.

·       Implement RBAC (role-based access control), data governance, and performance tuning.

·       Design and optimize SQL queries for large-scale data processing.

DBT (with Snowflake)

·       Implement and manage models, macros, materializations, and SQL execution within DBT.

·       Use DBT for modular development, version control, and multi-environment deployments.

Airflow (Orchestration)

·       Design and manage DAGs to automate workflows and ensure reliability.

·       Handle task dependencies, error recovery, monitoring, and integrations (Cosmos, Astronomer, Docker).

DevOps & CI/CD

·       Develop and manage CI/CD pipelines for Snowflake and DBT using GitHub Actions, Azure DevOps, or equivalent.

·       Manage version-controlled environments and ensure smooth promotion of changes across dev, test, and prod.

Monitoring & Observability

·       Implement monitoring, alerting, and logging for data pipelines.

·       Build self-healing or alert-driven mechanisms for critical/severe issue detection.

·       Ensure system reliability and proactive issue resolution.

Required Skills & Qualifications

·       5+ years of experience in data engineering with focus on cloud data platforms.

·       Strong expertise in:

·       Databricks (PySpark/Spark) – analysis, transformations, dependencies.

·       Snowflake – architecture, SQL, performance tuning, security (RBAC).

·       DBT – modular model development, macros, deployments.

·       Airflow – DAG design, orchestration, and error handling.

·       Experience in CI/CD pipeline development (GitHub Actions, Azure DevOps).

·       Solid understanding of data modeling, ETL/ELT processes, and best practices.

·       Excellent problem-solving, communication, and stakeholder collaboration skills.

Good to Have

·       Exposure to Docker/Kubernetes for orchestration.

·       Knowledge of Azure Data Services (ADF, ADLS) or similar cloud tools.

·       Experience with data governance, lineage, and metadata management.

Education

·       Bachelor’s / Master’s degree in Computer Science, Engineering, or related field.

Job Description Essential Functions:

• Financial analysis knowledge
• Excellent English to enable customer communication (Written and Verbal)
• Ability to handle any customer interaction professional and with a service-oriented attitude
• Reliable and precise work style, even under time pressure
• Excel / PowerPoint Skills.
• Experience in telecom industry is a plus

Required Skills:

• Inventory Management - In-depth knowledge of Inventory and components for building Telecom Inventory.
• Should have worked on Inventory creation for a minimum period of 2-3 years for both Voice and Data service.
• Good knowledge on Vendor portal for various global Telecom vendors.
• Should be able to work as an individual contributor.
• Should have experience on client engagements.
• Good knowledge on Vendor reports and CSRs
• Good Communication is must.
• Good understanding on Telecom products and services.
• Additional knowledge of Wireless is a plus

Soft skills:

• Good communication skills (Written & Oral)
• Flexible to work in the evening shifts
• Individual and team player

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19,
• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India.
• upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany.
• We were also covered by the Financial Times along with other disruptors in Ed-Tech.
• upGrad is the official education partner for Government of India - Startup India program.
• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning.

• Writing clean, high-quality, high-performance, maintainable code.
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements.
• Coordinate cross-functionally to insure project meets business objectives and compliance standards. 
• Support test and deployment of new products and features.
• Participate in code reviews.

• A highly talented developer with 6-9 years of hands-on experience in building secure and scalable web based applications using Java in backend and JS based frontend frameworks
• Strong knowledge of Java 8+, databases (SQL and NoSQL) , MySql, Mongo
• Experience working with Cassandra, Spring Boot, Apache Spark, Kafka, RabbitMQ is highly desirable.
• Working knowledge of any one or more of AngularJS/ReactJS/VueJS and CSS3, HTML5.
• Strong experience in data modelling for data storage tools in SQL; experience with noSQL is highly desirable.
• Experience building scalable solutions for 2x, 5x and 10x growth with high quality and flexibility.
• Practitioner of test driven development practices. Experience in creating and adhering to best practices for development.
• Experience working with container technologies like Docker and knowledge of CI/CD processes for automated integration and deployment. Basic knowledge of AWS preferred.
• Strong experience in Microservices (SRP) paradigm.
• Willing to learn new technologies (Golang).