Principal Engineer - AI

Overview

We are looking for an AI Engineer who approaches technology with a problem-solving mindset first. This role is ideal for someone who can take ambiguous business challenges, think critically, and build practical AI-driven solutions that create measurable impact.

The ideal candidate is hands-on, execution-focused, and comfortable owning solutions end-to-end — from ideation and proof of concept to production deployment. You should be able to effectively leverage modern AI technologies including LLMs, Agentic AI frameworks, APIs, and orchestration tools while collaborating closely with business and engineering stakeholders.

Responsibilities

• Approach problems with clarity and ownership—convert ambiguous business challenges into simple, actionable solutions.
• Demonstrate strong critical thinking—break down problems, evaluate options, and make pragmatic trade-offs.
• Build end-to-end solutions—own from idea → POC → production with a bias for execution.
• Leverage AI tools (LLMs, agents, frameworks) effectively—use them as multipliers, not crutches.
• Collaborate closely with business and engineering teams to deliver measurable outcomes.

Requirements

• 5-6 years of hands-on experience in AI/ML engineering or related software engineering roles.
• Strong understanding of LLMs, Agentic AI architectures, APIs, orchestration frameworks, and modern AI ecosystems.
• Experience building and deploying AI-powered applications or automation solutions in production environments.
• Strong problem-solving and analytical thinking skills with the ability to simplify complex challenges.
• Ability to independently own projects from concept to deployment.
• Comfortable working in fast-paced, evolving environments with continuous learning and experimentation.
• Strong collaboration and communication skills with both technical and non-technical stakeholders.
• Experience with Python and modern AI/ML frameworks and tooling is preferred.
• Familiarity with cloud platforms, vector databases, RAG pipelines, or AI deployment workflows is a plus.