AI Engineer at Finkraft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

25 Sep, 26

Salary

0.0

Posted On

27 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, LLMs, RAG, Vector Databases, Agent Frameworks, Python, System Design, AWS, Microservices, Airflow, PostgreSQL, MongoDB, REST APIs, Selenium, Playwright, MLOps

Industry

Financial Services

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 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 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

Responsibilities

Design and scale agentic AI systems and RAG pipelines for production-grade fintech workflows. Integrate LLMs into core systems while managing monitoring, safety guardrails, and data pipelines.