AI Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 2 months ago
4-6 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 2 months ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

About Finkraft

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

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

What Youll 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 Were 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

  • MLOps Tools (MLflow, Weights & Biases for model tracking)
  • Prompt Engineering (advanced techniques and optimization)
  • Fine-tuning LLMs (custom model adaptation)
  • Evaluation Frameworks (RAGAS, LangSmith for AI evaluation)
  • Observability Tools (monitoring AI system performance)
  • Playwright/Selenium (testing AI-driven workflows)
  • Kafka (streaming data for AI pipelines)
  • Fintech or enterprise workflow experience
  • AI safety and alignment principles

Benefits

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
  • Work on cutting-edge agentic AI systems

Skills

PythonPrompt EngineeringAi EngineerAi

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