Artificial Intelligence Engineer - LLM/Python
Skills
About the role
This is an AI Engineer role for developing LLM, generative AI, and agentic applications across the locations listed by the employer. You'll build RAG systems, integrate AI services into enterprise software, and lead delivery of AI engineering workstreams. The role suits a software engineer with 4–12 years of experience who can combine Python development, cloud-native engineering, and team guidance.
What you’ll do
- Design and build generative AI applications with frameworks such as LangChain, Semantic Kernel, or LlamaIndex.
- Develop RAG ingestion, retrieval, orchestration, and response-generation systems.
- Create agentic workflows with tools, memory, and multi-step execution.
- Integrate LLM services into enterprise applications and business processes.
- Build APIs, microservices, and cloud-native applications.
- Lead AI engineering workstreams and product features.
- Mentor engineers on design, coding, and AI adoption.
- Define practices for prompt design, model evaluation, and AI application development.
What they’re looking for
- 4–12 years of software engineering experience with hands-on AI or GenAI development.
- Experience delivering AI-enabled products, platforms, or enterprise solutions.
- Strong Python and modern software engineering skills.
- Experience with Azure OpenAI, OpenAI, Anthropic, or comparable LLM platforms.
- Experience building APIs, microservices, and cloud-native applications.
- Familiarity with vector databases, retrieval systems, and prompt engineering.
- Working knowledge of CI/CD, containers, and cloud deployment.
- Ability to work with product, engineering, and architecture stakeholders.
Nice to have
- Experience leading small teams or coordinating multiple engineering workstreams.
- Experience driving AI-native engineering practices.
- Experience with Semantic Kernel or LlamaIndex.
What’s on offer
- Full-time, permanent employment.
- The role is offered across multiple locations, but the page does not list the specific offices.
- The position includes delivery leadership, mentoring, and collaboration with product and engineering leaders.
Questions about this role
How much experience is required?
The posting asks for 4–12 years of software engineering experience with hands-on AI or GenAI development.
Which LLM platforms are mentioned?
Azure OpenAI, OpenAI, Anthropic, and equivalent platforms are mentioned.
Does the role include team leadership?
Yes. The role includes leading AI engineering workstreams and mentoring engineers.
Which frameworks are mentioned for GenAI development?
LangChain, Semantic Kernel, and LlamaIndex are mentioned.
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