Tech Lead-Python

Backend Engineer III – Senior Python Developer (LLM & AI)

Location: Gurgaon, India

Positions: 1

Experience: 6 to 9 Years

Gurgaon Hybrid

About the Role

We are seeking an experienced Backend Engineer III / Senior Python Developer to join our AI engineering team and play a critical role in building scalable, secure, and high-performance backend platforms for LLM and AI-driven applications. You will work as a hands-on individual contributor while collaborating closely with Machine Learning Engineers, Data Scientists, Product Managers, and Cloud/DevOps teams to deliver innovative, production-grade AI solutions.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and services using Python to support LLM and AI-based applications
• Build and maintain RESTful APIs and microservices that serve machine learning models and AI components
• Write clean, modular, efficient, and testable code following industry best practices and coding standards
• Participate actively in code reviews, ensuring high quality, security, and maintainability of the codebase
• Debug, profile, and optimize applications to improve performance, reliability, and scalability
• Identify and resolve performance bottlenecks in AI/ML pipelines and backend services
• Collaborate with ML engineers, data scientists, and product teams to translate business and technical requirements into robust backend solutions
• Mentor and support junior developers, promoting a culture of technical excellence and continuous learning
• Design and implement CI/CD pipelines and automate deployment workflows to ensure consistent and reliable releases
• Stay up to date with emerging trends in Python, cloud-native development, and LLM/AI engineering practices and apply them to improve systems and processes

Required Skills & Experience

• 6 to 9 years of strong hands-on experience in Python development
• Solid understanding of Python software design, architecture patterns, and testing best practices
• Proven experience working on AI, Machine Learning, or LLM-based projects
• Strong experience in building and consuming RESTful APIs and microservices architectures
• Hands-on experience with FastAPI, Flask, or similar model-serving frameworks
• Strong debugging, performance profiling, and optimization skills
• Experience with CI/CD tools and workflows (e.g., GitHub Actions, Azure DevOps, Jenkins, etc.)
• Working knowledge of Docker and Kubernetes is a strong plus
• Excellent analytical, problem-solving, and communication skills
• Ability to work independently in a fast-paced, evolving AI/ML environment while mentoring junior team members

Education & Certifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
• AWS or other relevant cloud certifications are preferred but not mandatory

Why Join Us?

• Work on cutting-edge AI and LLM platforms
• Collaborate with top-tier engineering and data science teams
• Opportunity to influence system architecture and technical direction
• Competitive compensation and career growth opportunities

Job Description: Software Engineer - Backend ( 3-5 Years)

Location: Bangalore

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives

through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

●Grow at the Edge: We embrace personal growth by stepping out of our comfort zones to

discover our genius zones, driven by self-awareness and integrity. No excuses.

●Understanding through Listening and Speaking the Truth: Transparency, radical candor,

and authenticity define our communication. We challenge ideas, but once decisions are

made, we commit fully.

●I Win for Teamwin: We operate within our genius zones, taking ownership of our work

and inspiring our team with energy and attitude to win together.

Responsibilities:

• Contribute to the entire implementation process including driving the definition of improvements based on business needs and architectural improvements.

• Review code for quality and implementation of best practices.

• Promote coding, testing, and deployment best practices through hands-on research and demonstration.

• Write testable code that enables extremely high levels of code coverage.

• Ability to review frameworks and design principles toward suitability in the project context.

• Candidates who will demonstrate an ability to identify an opportunity lay out a rational plan for pursuing that opportunity, and see it through to completion.

Requirements:

• Engineering graduate with 3+ years of experience in software product development.

• Proficient in Python, Django, Pandas, GitHub, and AWS.

• Good knowledge of PostgreSQL, and MongoDB.

• Strong Experience in designing REST APIs.

• Experience with working on scalable interactive web applications.

• A clear understanding of software design constructs and their implementation.

• Understanding of the threading limitations of Python and multi-process architecture.

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Good understanding of Test Driven Development.

• Unit and Integration testing.

• Preferred exposure to Finance domain.

• Strong written and oral communication skills.

Must have exp in Django. [ Mandatory]

• The ability to problem-solve and critically think.
• High level of knowledge of Python and the Django framework.
• Familiarity with event driven programming as well as the MVC.
• Good understanding of SQL databases.
• Good understanding of REST APIs.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.