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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

Roles and Responsibilities:

Architect, build and maintain excellent React Native applications with clean code.

Implement pixel perfect UI's that match designs.

Implement clean, modern, smooth animations and transitions that provide an excellent user experience.

Write unit and integration tests.

Release applications to IOS and Google Play stores.

Work with native modules when required.

Skills Required:

Hands-on experience in React native and other advanced JavaScript libraries and frameworks

Good Knowledge of HTML5, CSS

Strong understanding of Virtual DOM, ES6, Redux, Immutable, JSX Components, Bootstrap, Material Design

Experience working with remote data using RESTful APIs and JSON.

Experience integrating third-party libraries and APIs.

Should be able to handle projects from scratch.

Familiarity with native build tools, Gradle {Android Studio, IntelliJ}, like XCode Good Analytical & debugging skills

Good analytical and problem solving skills

We're Hiring: Assistant Manager - Sales (Building Automation Solutions)

Location: Chennai

Experience: 8+ years

Key Responsibilities:

- Drive sales & marketing for Building Automation Solutions (BAS)

- Build & maintain client relationships, conduct demos & presentations

- Provide technical support (BAS & ELV systems)

- Market research & competitor analysis

Qualifications:

- BE/B.Tech in Instrumentation/Electronics/Automation

- Proven sales experience in BAS / ELV / Project Sales

- Strong knowledge of HVAC & BAS systems

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

General Description:

Owns all technical aspects of software development for assigned applications.

Participates in the design and development of systems & application programs.

Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.

Required Skills:

In depth experience configuring and administering EKS clusters in AWS.

In depth experience in configuring **DataDog** in AWS environments especially in **EKS**

In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**

In depth knowledge of observability concepts and strong troubleshooting experience.

Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.

Experience in **Terraform** and Infrastructure as code.

Experience in **Helm**

Strong scripting skills in Shell and/or python.

Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.

Must have a good understanding of cloud concepts (Storage /compute/network).

Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.

Experience with Git and GitHub.

Proficient in developing and maintaining technical documentation, ADRs, and runbooks.

We are seeking a dynamic 1+ years of experience Social Media Executive to join our team. As a Social Media Executive, you will play a pivotal role in crafting and executing social media strategies to drive engagement, brand awareness, and growth across various platforms.

Responsibilities:

• Content Creation: Develop creative and engaging content for social media platforms, including text, images, and videos.
• Social Media Management: Manage and maintain social media profiles and pages, ensuring consistent brand voice and image.
• Audience Engagement: Interact with the audience, respond to comments and messages, and foster community engagement.
• Analytics and Insights: Monitor social media metrics, track performance, and generate insights to improve content and strategy.
• Campaigns and Promotions: Plan and execute social media campaigns, contests, and promotions to meet marketing goals.
• Trend Monitoring: Stay updated on social media trends, tools, and best practices to keep our strategies fresh and effective.

Requirements:

• Bachelor's degree in Marketing, Communications, or related field.
• Proven experience in social media management and content creation.
• Strong understanding of various social media platforms including FB, IG, LinkedIn, Twitter, Youtube, etc.
• Creative mindset and the ability to think outside the box.
• Excellent communication and writing skills.
• Analytical mindset with the ability to interpret data.
• Familiarity with social media scheduling and analytics tools.
• Ability to work independently and as part of a team.

Location: Kaikondrahalli, Bangalore

Position Type : Fulltime 

Employee Value Proposition: 

1. Employee health insurance of Rs 1 lakh per year. Premium is paid by the company.

2. Employees get free lunch and snacks. 

3. Monthly reward and recognition to outstanding performers. 

4. Employees get promotion every 6 months basis performance

5. Outstanding performers can qualify for promotion every quarter.

6. Employee can get promoted up to 4 times in a year. Every promotion results in change of designation and increase of salary .

7. Accelerated career growth of employees and one can become UH in another 3 months time)

8. Regular team parties and Annual Day outing for all employees.

Qualification / Education and other Requirements:

1. Education- Any Post Graduate (MBA,PGDM ,M.Te ch/M.COM/M.A etc with 0-1 yrexp.)

2. Excellent verbal and written communication.

3. Good Interpersonal skills, numerical and analytical ability.

4. Decision making skills. 

5. Language required: English & Hindi (mandatory), Kannada/Tamil/Marathi/Telugu (optional)

6. Proficient in MS-Office (Excel, Word).

7. Should be flexible for day shift- (9-hour of login between 8 AM - 10 PM).

8. Comfortable with working 6 days a week and the week off will be on weekday. 

**Laptop with webcam and good speed Internet connection is a must**

About the company http://nobroker.com/" target="_blank">NoBroker.com is world's largest C2C marketplace in online real estate. With cumulative 85 lakh customers, it has grown 10X in last one year. With three rounds of funding of $151 mn, it is well funded by key US, Indian, Japanese & Korean investors like General Atlantic,Tiger Global SAIF Partners, KTB ventures and BeeNext. It is headquartered in Bangalore with a team of 4000+ employees.

Role and Responsibility – Sales Executive

1. Identifies business opportunities by identifying prospects. 

2. Sells products by establishing contact and developing relationships with prospects recommending solutions.

3. Outbound calling on data collected through lead generation activities / secondary data sources.

4. Daily follow-ups on older leads and work on new leads.

5. Maintains quality service by establishing and enforcing organization standards.

6. Must be energetic, well-spoken, and eager to close sales deals and generate revenue for the organization. 

About Training- Training will be provided for initial few days for an employee to understand end to end process.

Counseling the students over the study abroad options.

Handling enquiries and getting the enrollments done .

Achieving monthly sales targets, cold calling.

Work Schedule: 6 days a week (including weekends), any 1 fixed weekly off.

11am-7pm / 12pm - 8pm - Mon to Fri

10am to 7pm / 11am to 8pm - Sat n Sun

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis