Artificial Intelligence Engineer
Role Overview
A technology organization is investing in AI to build next-generation enterprise software solutions.
The hands-on engineer will design, develop, and deploy production-ready AI solutions and own AI features throughout the software development lifecycle.
Key Skills for This Role
Full Job Posting
Opportunity
A technology organization is investing in AI to build next-generation enterprise software solutions.
The hands-on engineer will design, develop, and deploy production-ready AI solutions and own AI features throughout the software development lifecycle.
Responsibilities
- Design, develop, and deploy production-grade AI applications using machine learning and generative AI technologies.
- Build scalable solutions using LLMs, RAG architectures, and agentic AI frameworks.
- Translate business requirements into robust production-ready solutions with product and engineering teams.
- Drive technical decisions, optimize systems based on production performance, and promote engineering best practices.
- Deliver scalable, reliable AI features with commercial impact.
Requirements
- At least 7 years of software engineering experience, including significant hands-on production AI delivery.
- Track record of launching AI-powered products actively used by customers in live environments.
- Strong expertise in Python, generative AI, LLMs, prompt engineering, RAG, and modern AI frameworks such as LangChain or similar.
- Experience building scalable backend services, APIs, and distributed applications.
- Understanding of cloud platforms, containerisation, CI/CD, MLOps, and deploying AI at scale.
- Experience with SQL/NoSQL databases, ETL pipelines, and large-scale data processing.
- Excellent communication and ability to work across product, engineering, and business stakeholders.
- Proactive, product-focused approach and experience in fast-paced engineering environments.
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