AI Engineer
Indexed description
We are looking for an AI Engineer to join our AI Products Engineering team.
This role is hands‑on and focused on building, deploying, and operating enterprise‑grade AI and Generative AI solutions that are secure, scalable, and production‑ready.
You will work on modern AI use cases including Large Language Model (LLM) applications, Retrieval‑Augmented Generation (RAG), and intelligent AI workflows, partnering closely with product, data, and platform teams.
We are looking for an AI Engineer to join our AI Products Engineering team.
This role is hands‑on and focused on building, deploying, and operating enterprise‑grade AI and Generative AI solutions that are secure, scalable, and production‑ready.
You will work on modern AI use cases including Large Language Model (LLM) applications, Retrieval‑Augmented Generation (RAG), and intelligent AI workflows, partnering closely with product, data, and platform teams.
Responsibilities
- Design, develop, and deploy AI and Generative AI solutions for enterprise use cases
- Build LLM‑based applications such as RAG pipelines and AI workflows
- Integrate AI solutions with enterprise data sources and APIs
- Write clean, maintainable, and production‑ready code
- Support deployment, monitoring, and operational stability of AI systems
- Contribute to technical documentation, model artefacts, and governance requirements
- Collaborate with product owners, data engineers, and platform teams
- Experience in AI, machine learning, data engineering, or software engineering
- Hands‑on experience with Generative AI or LLM‑based solutions
- Familiarity with RAG, prompt engineering, or AI pipelines
- Strong programming skills in Python
- Experience with cloud platforms (AWS, Azure, or GCP) is an advantage
- Understanding of production engineering practices such as APIs, CI/CD, and monitoring
- Experience with vector databases
- Exposure to MLOps or LLMOps concepts
- Experience working in a regulated or large enterprise environment
- Having experience in predictive analytics and propensity models is a plus
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