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Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
The Senior Forward Deployed Engineer embeds with customer teams to design and implement secure enterprise AI workloads using the AI Gateway platform. This role involves writing production code, building custom middleware, and optimizing high-throughput traffic paths while collaborating directly with customer engineering teams.
Data/AI Engineer on a 4-month hybrid contract in Cork, building data solutions using LLMs—specifically RAG, embeddings, and vector databases—applied to unstructured data.
Build AI data solutions using LLMs, embeddings, vector databases, and RAG workflows on a 4-month hybrid contract in Cork.
Design, build, and productionize LLM-powered agentic AI systems and scalable ML pipelines for conversational interfaces using Python, cloud services (AWS), and microservices at scale.
Hands-on AI Engineer building production agentic workflows for real estate diligence, planning, and execution using LLMs, Python, RAG, and agent frameworks in NYC.
Data Engineer designing and building modern cloud data platforms on Microsoft Azure and Fabric, developing ELT pipelines, lakehouse solutions, and data models for enterprise consulting clients.
Build and evolve MCP servers, graph-RAG pipelines, and agentic layers that connect a platform to multiple LLMs (Claude, Gemini) using Python, vector databases, and graph data stores.
Builds and evolves MCP servers, tools, and graph-RAG pipelines to expose platforms to LLMs (e.g., Claude, Gemini) using Python, RAG, and vector databases, collaborating with product, data, and QA teams in an agile model.
Senior data engineer on the Mapping team building scalable data pipelines, offline experimentation tooling, and route simulation services for a ride-hailing platform, using AWS, Databricks, Kubernetes, Airflow, and Spark.
Senior Data Engineer on Lyft's Mapping team, building scalable data pipelines, offline experimentation tooling, and route simulation services using AWS, Databricks, Kubernetes, and Airflow.
Full-stack software developer building scalable applications and AI-powered features using modern languages and frameworks for a data-focused consultancy serving Fortune 500 clients.
Full stack developer at Thales Canada building backend services, containerized deployments, and generative AI integrations (RAG pipelines, vector embeddings, MCP tools) for the Canadian Department of National Defence, primarily using Python, Docker, Kubernetes, and Helm.
Pre-Sales Engineer for a vector database company in the AI infrastructure space, helping prospects evaluate the product via PoCs, architectural guidance, and demos on the US West Coast.
Senior engineer building open-source AI/ML integrations and tooling for Aerospike's distributed database, with a DevOps/SRE focus on scalability and reliability using Go, Python, Java, Scala, C/C++, Kubernetes, and Docker.
Build, operate, and improve production agentic AI systems for an AI-native HR platform, focusing on agent reliability, observability, and scaling LLM-powered workflows using Python, Django, RAG, and full-stack tooling.
Junior Data Engineer designing and developing data pipelines and AI agent solutions on Google Cloud Platform using Python, SQL, and LLMs for a cybersecurity consulting group.
Principal AI Full-Stack Engineer at Peak3 building and operating agentic AI systems (RAG, multi-agent orchestration, LLM inference chains) for insurance SaaS products, shipping full-stack features from model to UI using Python, TypeScript, React/Next.js, and Kubernetes.
Full-stack AI engineer working across Python backend, LLM/AI pipelines (prompting, RAG, orchestration), infrastructure (CI/CD, cloud), and frontend for Typewiser, an applied AI document intelligence platform.
Backend engineer builds and scales Java/Python microservices for an AI-powered commercial real estate platform, integrating LLMs and agent workflows on AWS.
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