AI Engineer Remote Job in India

AI Engineer (30 LPA – 45 LPA)

Remote | Full-time
Salary: ₹30 LPA – ₹45 LPA
Employment Type: Full-time
Work Mode: Fully Remote
Hiring Model: Apply once, interview with multiple VC-backed startups

Opportunity Overview

This position is through CodeRound AI to one of their Client businesses: a high-growth startup financing with venture-capital support; they recently accomplished raising $7 million in capital. Their goal is to develop new cutting edge, data-driven financial products and they are seeking an experienced engineer to help design an AI infrastructure for the company.

Applying through CodeRound AI allows the applicant access to potentially up to 10 interviews with rapidly growing venture funded companies located in both India and Silicon Valley; thus shortening substantially the process to secure employment with Code Round AI.

What CodeRound AI Is all About?

CodeRound Ai helps elite technology start-ups find and hire top 5% engineering talent from around the world, with extensive partnerships throughout the USA (east & west coasts), UK, Europe (primarily Germany), UAE, and India. All CodeRound Ai partners have received venture funding, and all CodeRound Ai partners are building innovative companies by solving complex real-world problems using AI technologies.

Product development leaders value CodeRound Ai's talent. Founders and engineering leaders want their engineers to take on ownership from day one for the creation of next-generation products.

Position Overview: AI Engineer - 3+ Years of Experience

As an AI Engineer at CodeRound Ai you'll design, develop, implement, and maintain Artificial Intelligence & Machine Learning systems that power Intelligent FinTech products. This role spans the intersection of engineering, data, and product development and requires a solid technical background in AI as well as a practical production-oriented attitude towards systems.

You'll collaborate with Product Managers, Backend Engineers, and Data Teams to turn large, unstructured volumes of Financial Data into scalable, reliable, AI-powered solutions. Since financial systems are high-risk and heavily regulated industries, your work will focus on robustness, explainability, and compliance with industry standards.

Main Tasks and Obligations

In the role of AI/ML Engineer, you will have the following tasks and obligations:

Creating and implementing AI/ML models for FinTech applications such as Fraud Detection; Credit Risk; Personalization; Forecasting.
Using Financial and Transactional data from multiple types of databases and other sources (Structured, Un-Structured).
Developing Machine Learning Standards with visual and non-visual data.
Architecting and implementing Machine Learning Models using APIs and Services.
Enhancing and optimizing Models for Performance, Scalability and Reliability.
Partnering with Back-end and Platform Teams to integrate Models into a Production Environment.
Working with Product Teams to ensure that AI-generated Output meets Business Needs and User Needs.
Debugging/Resolving Production-Level Issues with Model Output / Drift in Data.
Participating in Code Reviews and Model Reviews as necessary to maintain Engineering Standards.
Dealing with Issues Related to Noisy, High Volume Real World Financial Data.
Improving the Explainability, Fairness and Compliance Readiness of Models Created.
Experimenting with New AI Technologies; including LLMs, Embedding, Advanced ML, etc.
Continuously Enhancing The Quality with which AI is Delivered; the Speed with which AI is Delivered; the Robustness of the System Itself.

Candidate Profile (0-0-0)

The ideal candidate will display the following 7 characteristics to be considered a strong fit for this role:

More than 3 years of experience in a hands-on role in either AI, Machine Learning or Applied Data Science
Expert skill level in Python and in using standard ML Libraries: Scikit-learn, PyTorch, TensorFlow, etc.
Extensive experience with putting ML Models into Production from Experimentation through Deployment.
Knowledge and/or experience working with Financial Data/Transactional Datasets/Large-Scale Structured Data.
Prepared and understand the barriers/challenges of deploying AI Systems in real-life
Written and verbal communication skills that allow him/her to communicate with both Technical and Non-Technical Project Stakeholders.
A thriving desire and capacity to work in a rapidly evolving Startup Environment with a strong sense of ownership and toleration for Ambiguity/Change.

Because This Role Is Unique:

The opportunity to work on core AI Systems which power the majority of Modern Fintech Products
Solve Big Problems – AI has many uses, including Fraud Prevention, Risk Modelling, and/or Financial Intelligence
Collaborate with a world-class team of Engineering, Data and Product Leaders
Accountable for the overall AI Life Cycle (Model Design, Production Monitoring, etc.) will work on.
Unique and definable path for Achievement into either a Senior AI Engineer Role or a Lead AI Engineer Role.
Outstanding Compensation Structure consistent with Top-Tier Start-Up Talent.