Overview
Role: AI Engineer
Industry: Fintech, SaaS, Artificial Intelligence
Years of experience: 2+Years
Location: Bangalore (Hybrid)
Type: Full time
About the company
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralises data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
It is not another workflow tool—it is crafting a deeply intelligent platform that feels intuitive and proactive. The machine-learning layer continuously consolidates multi-source financial data, flags anomalies and duplicates, predicts cash positions, and uncovers hidden revenue leakages—so finance teams can close faster, control better, and scale confidently.
Position Overview
In this role, you'll be working on developing and optimising the next-generation AI-powered solutions that automate key data and business processes, enabling businesses to operate faster and more efficiently. You will collaborate closely with our engineering team to design and deploy intelligent systems that transform complex workflows.
Role & Responsibilities
- Design, develop, and maintain AI-powered applications that enhance data transformation and processing efficiency
- Build intelligent agents to automate workflows, including data extraction, decision-making, and task automation.
- Develop and optimize machine learning models and algorithms for real-time data analysis and decision-making.
- Continuously improve the performance, reliability, and scalability of AI systems.
- Stay at the forefront of AI and machine learning innovations, applying the latest techniques to drive product evolution.
Must have Criteria
- 2+ years of hands-on experience in AI application development, with a focus on machine learning, GenAI, or data automation.
- Proven experience building multi-agent AI applications, fine-tuning Large Language Models (LLMs) and optimization; experience in developing custom LLMs is a plus
- Proficient in Python, with hands-on experience of using frameworks such as PyTorch, Pandas, FastAPI, AutoGen and LangChain.
- Expertise in AI application techniques such as RAG, MCP/tools building, model grounding, and implementing guardrails to ensure reliable, efficient, and safe AI performance.
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
Nice to Have
- Solid understanding of data processing frameworks, ETL processes, and tools (e.g., Apache Spark, Kafka, or similar)
- Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
- Experience applying AI in the finance sector, understanding compliance, privacy, and domain-specific challenges.
- Proficiency in reinforcement learning, especially with agentic system implementations.
- Experience with a frontend framework such as React, Vue.js is a bonus
What We Offer
- Foundational role where you define how AI evolves at the company.
- High impact on real-world financial decisions requiring accuracy and auditability.
- Ownership of deep ML and cutting-edge GenAI problems.
- Product-first, collaborative culture that values high agency and technical depth.
Apply using: https://forms.gle/Muvq4ySHF4bB5ucR8