Senior Ai Engineer

About This Opportunity

Our talent team is representing a confidential SaaS organization seeking a Senior AI Engineer to join their remote team. This role is open to candidates based in the UK, Ireland, Germany, Portugal, Spain, or the Netherlands.

Our client builds AI-powered systems that help customers collect, understand, and act on information in conversational and personalized ways. You'll join a team that owns the complete journey from experimentation to production, working with machine learning, large language models, RAG, and agentic systems.

Responsibilities

Build and deliver AI products:

• Design, build, and deploy generative AI capabilities using large language models, RAG, vector search, and agentic systems
• Develop services and APIs that enable product teams to integrate AI capabilities
• Turn prototypes into reliable production systems with clear performance and quality measures
• Explore innovative ways to apply AI to customer-facing experiences

Build scalable AI systems:

• Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS
• Build reliable pipelines for batch and real-time processing using Kafka and Airflow
• Implement vector database solutions for retrieval, recommendations, and semantic search
• Use MLflow to manage experiments, model versions, registries, and deployments
• Optimize reliability, performance, scalability, and cost efficiency of AI systems

Evaluate and improve AI quality:

• Build automated evaluation pipelines for generative AI applications
• Develop benchmarks measuring accuracy, relevance, reliability, fairness, latency, and cost
• Evaluate retrieval strategies including chunking, embeddings, context selection, and reranking
• Monitor production AI systems and identify improvement opportunities
• Create safeguards to reduce unexpected behavior and protect customer data

Shape AI engineering practice:

• Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems
• Guide teams on decisions about models, frameworks, infrastructure, performance, and cost
• Apply strong engineering practices across testing, security, observability, and deployment
• Share technical knowledge and mentor other engineers
• Stay current with AI research, tools, and engineering practices

Collaborate across teams:

• Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams
• Work with Data Scientists to transition experiments into production services
• Communicate technical concepts and tradeoffs to technical and non-technical stakeholders
• Contribute to technical planning and strategic direction

What We're Looking For

Required qualifications:

• At least 4 years of experience building and deploying machine learning or AI systems in production
• Strong Python and software engineering skills
• Experience building production services using frameworks such as FastAPI
• Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems
• Experience with PyTorch, LangChain, LangGraph, or similar frameworks
• Strong understanding of enterprise RAG systems: chunking, embeddings, retrieval, reranking, evaluation, and monitoring
• Experience creating automated evaluations for generative AI applications
• Experience with AWS, Docker, Kubernetes, Terraform, and CI/CD practices
• Experience using AWS SageMaker or AWS Bedrock
• Experience with Kafka, vector databases, or real-time data processing technologies
• Experience managing machine learning workflows using MLflow
• Experience monitoring production systems with tools such as Datadog or OpenSearch
• Ability to balance quality, speed, reliability, scalability, and cost in technical decisions
• Strong communication skills and cross-functional collaboration experience

Valued additional experience:

• Experience in B2B SaaS product companies
• Experience with orchestration tools such as Airflow or Argo Workflows
• Familiarity with SQL, Spark, Snowflake, or other data processing technologies
• Experience building systems combining structured data, unstructured data, and generative AI
• Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention
• Experience optimizing latency and cost of AI systems at scale

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your background and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—we manage the entire coordination process to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on your experience and location.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and ensure fair consideration regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.