AI Engineer

Finkraft; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Finkraft is seeking an AI Engineer to design and scale agentic AI systems, moving beyond experimentation into real-world applications. You'll be responsible for building intelligent agents and integrating LLMs into production. This role requires 4-6 years of AI engineering experience along with strong Python skills, and experience in deploying AI systems.

Join us to build impactful AI solutions shaping the future of fintech! You will work closely with founders in a high-ownership environment with significant growth potential.

Qualifications

• 4-6 years in AI Engineering.
• Hands-on experience with LLMs, RAG, vector stores, and agent frameworks.
• Strong problem-solving focus on real-world outcomes.

Responsibilities

• Build and deploy AI agents for multi-step workflows.
• Integrate LLMs into production systems with monitoring and safety.
• Collaborate with product, data, and engineering teams to ship AI features.

Skills

AI Engineering

Python programming

LLMs

RAG

System design

Problem-solving

Tools

PostgreSQL

MongoDB

AWS

Airflow

Selenium

Playwright

Job description

Bangalore South, India | Posted on 06/23/2026

Finkraft is a fast-growing fintech startup building infrastructure to simplify and modernize financial operations. We are embedding production-grade AI and agentic systems into core workflows to drive automation and real business outcomes.

Role Overview

We’re looking for an AI Engineer to design and scale agentic AI systems that move beyond experimentation into real-world usage. You’ll build intelligent agents, integrate LLMs into production, and own AI systems end-to-end.

What You’ll Do

• Build and deploy AI agents for multi-step workflows
• Design RAG pipelines, tool usage, memory, and orchestration logic
• Integrate LLMs into production systems with monitoring and safety
• Define evaluation metrics, feedback loops, and guardrails
• Select and manage LLMs, vector databases, and frameworks
• Collaborate with product, data, and engineering teams to ship AI features
• Deploy AI models on AWS infrastructure and microservices
• Work with data pipelines (Python, Airflow) to prepare training data
• Implement AI testing and monitoring (Selenium, Playwright for integration testing)
• Collaborate with backend teams on API integration (REST APIs)
• Ensure AI systems integrate with PostgreSQL & MongoDB data stores

Requirements

What We’re Looking For

• 4-6 years in AI Engineering
• Hands‑on experience with LLMs, RAG, vector stores, and agent frameworks
• Strong Python programming and system design skills
• Experience deploying AI systems in production
• Strong problem‑solving with focus on real‑world outcomes
• Ability to balance speed, reliability, and scalability

Good to Have

• Prompt Engineering (advanced techniques and optimization)
• Evaluation Frameworks (RAGAS, LangSmith for AI evaluation)
• Observability Tools (monitoring AI system performance)
• Fintech or enterprise workflow experience
• AI safety and alignment principles

Why Join Us

• Build real AI systems used in production
• Shape how AI integrates into fintech workflows
• High ownership, work closely with founders
• High‑impact role with strong growth potential