AI/ML Software Engineer (4 to 8 Years) (Fintech)

Company: Series A Fintech Startup

Location: Bangalore (Work From Office)

Experience: 4–8Years

Level: SDE 3

Fixed Compensation: ₹30–60 LPA

Industry: Fintech & Compliance

About the Company

A fast-growing fintech startup building AI-powered compliance and risk infrastructure for global enterprises. The platform helps financial institutions automate compliance, streamline onboarding, detect fraud, and manage regulatory workflows at scale.

About the Role

We are looking for a Senior AI/ML Software Engineer to join a fast-growing AI company building next-generation enterprise AI solutions. You will play a key role in designing, building, and scaling production-grade AI systems while working closely with engineering, product, and leadership teams.

Key Responsibilities

• Design, build, and deploy machine learning models and AI-powered applications at scale.

• Develop robust backend systems and APIs that power AI products in production.

• Work with large-scale datasets to improve model performance, reliability, and accuracy.

• Drive the adoption of best practices in model development, evaluation, deployment, and monitoring.

• Optimise model inference, latency, scalability, and infrastructure utilisation.

• Collaborate cross-functionally to translate business requirements into impactful AI solutions.

• Stay current with advancements in LLMs, Generative AI, RAG architectures, and modern AI infrastructure.

• Mentor junior engineers and contribute to technical decision-making.

Requirements

• 4–8 years of experience in Software Engineering, Machine Learning, or AI-focused roles.

• Strong proficiency in Python and software engineering fundamentals.

• Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.

• Strong understanding of data structures, algorithms, distributed systems, and scalable architectures.

• Experience building and deploying production-grade machine learning systems.

• Familiarity with cloud platforms, APIs, databases, and data pipelines.

• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience working on consumer-facing products at scale.

• Hands-on experience with LLMs, RAG systems, AI agents, or Generative AI applications.

• Familiarity with AWS, Docker, Kubernetes, and modern MLOps practices.

• Experience with vector databases and AI infrastructure tooling.

What You’ll Get

• Up to ₹30-60 LPA (including variable) plus ESOPs.

• Opportunity to work on cutting-edge AI products and infrastructure.

• High ownership and direct impact in a fast-growing startup.

• Exposure to complex real-world AI deployment challenges.

• Strong learning, mentorship, and career growth opportunities.