Applied AI Engineer
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Key skills for this role
About the Role
Design and deploy AI applications, build agent-based systems, develop retrieval-augmented generation systems, and collaborate on high-performance AI solutions.
Key Skills for This Role
Responsibilities
- Design and deploy production grade AI applications powered by large language models
- Build advanced agent based systems for multi step reasoning, planning, and tool integration
- Develop end to end retrieval augmented generation (RAG) systems
- Expose AI capabilities through scalable APIs
- Define and implement evaluation frameworks for model performance
- Translate complex requirements into structured engineering solutions
- Build reusable components and infrastructure for scalable AI adoption
- Collaborate with cross functional teams to deliver reliable AI systems
Requirements
- 7+ years of experience in applied AI, machine learning engineering, or software engineering
- Strong programming skills in Python with solid software engineering fundamentals
- Proven experience building and deploying AI/ML systems in production
- Hands on experience with large language models and deploying LLM powered applications
- Strong understanding of challenges in deploying AI systems in production (latency, reliability, model behavior)
- Experience designing scalable, reliable, and high performance systems
Full Job Posting
Responsibilities
- Design and deploy production grade AI applications powered by large language models, including assistants, copilots, and automation tools.
- Build advanced agent based systems capable of multi step reasoning, planning, and tool integration.
- Develop end to end retrieval augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation.
- Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms.
- Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality.
- Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics.
- Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities.
- Collaborate with cross functional teams to deliver reliable, high performance AI systems.
Requirements
- 7+ years of experience in applied AI, machine learning engineering, or software engineering roles.
- Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation.
- Proven experience building and deploying AI/ML systems in production environments.
- Hands on experience working with large language models and deploying LLM powered applications.
- Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour.
- Experience designing scalable, reliable, and high performance systems.
Desired
- Experience building RAG systems end to end, including retrieval pipelines and vector search.
- Familiarity with agent based frameworks such as LangChain, LangGraph, AutoGen, or similar.
- Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection.
- Exposure to conversational AI systems, including speech or real time interaction pipelines.
- Experience working with modern AI inference infrastructure and deployment environments.
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