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Data engineer on Slalom's consulting delivery teams in Vancouver, designing cloud-native data platforms and building batch/streaming pipelines for clients across AWS, Azure, GCP, Databricks, and Snowflake. Daily work spans data modeling, ETL/orchestration, governance, and client-facing engineering using SQL/Python and modern data tooling.
Designs, prototypes, and deploys LLM-based multi-agent AI capabilities for intelligence workflows — integrating foundation models via APIs, engineering prompts, automating reporting tasks, and evaluating output reliability. Core stack: Python, orchestration frameworks like LangChain/LlamaIndex, REST/microservices, and AWS.
Build and deploy enterprise-grade AI systems for a B2B payments platform, focusing on LLMs, RAG, OCR, and Agentic AI using Python, cloud platforms, and MLOps tools.
Senior SRE/DevOps engineer owning reliability of CSBR's AWS estate: the Matera core-banking and payments stack on EKS, plus lending, data-lake, and AI workloads on serverless/ECS. Day to day runs multi-account AWS, Terraform/CDK IaC, GitHub Actions CI/CD, observability, on-call incident response, and Central Bank/LGPD compliance.
Consulting role at Berkeley Research Group's new Financial Institution Operations & Technology practice: architect and hands-on build production AI solutions (Python, RAG, agentic workflows, LLMOps) for clients in lending, payments, and asset/wealth management, including evaluations, security safeguards, and mentoring engineers.
Builds, operates, and improves a GenAI platform on Microsoft Azure at Solvex Solutions in Zürich: managing Azure cloud infrastructure and automating secure, scalable deployments of GenAI applications with Kubernetes, Terraform, and GitLab CI/CD from development through production.
Long-term contract role building and running a Generative AI platform on Microsoft Azure: provisioning infrastructure with Terraform and Helm, automating GitLab CI/CD pipelines, operating Kubernetes workloads (including Langfuse), and monitoring RAG and Agentic AI services in production with Prometheus, Grafana, and Azure Monitor. Fluent German and English required.
Job Summary We are looking for an experienced Generative AI Engineer to design, develop, and deploy production-grade AI applications and LLM-powered solutions. The ideal candidate should have strong hands-on experience…
Builds and maintains batch and streaming data pipelines on Azure Databricks/AWS and delivers Power BI analytics for life-sciences manufacturing, while designing and productionizing agentic AI/LLM solutions (RAG, tool calling, multi-step workflows) with manufacturing, quality and engineering teams under GMP data-integrity expectations.
Senior Azure DevOps engineer (7–12 yrs) in Bengaluru who designs and secures Azure infrastructure with Terraform IaC, builds Azure DevOps YAML CI/CD pipelines, runs Docker/AKS workloads with monitoring and Key Vault/RBAC security, and deploys AI/GenAI apps on Azure OpenAI, AI Search and ML.
Wells Fargo is hiring a Lead Software Engineer in Hyderabad to lead complex GenAI initiatives — designing, coding, and reviewing agentic AI/LLM solutions (RAG, multi-agent systems) using frameworks like LangChain, LangGraph, and CrewAI, while setting companywide AI engineering standards, governance, and LLMOps practices.
Hands-on engineering manager at Zscaler leading a US/India data & AI team, owning the enterprise data platform (Snowflake, dbt, Matillion) and building AI-ready foundations — RAG systems, knowledge graphs, vector stores, and agentic operations — in a hybrid role based in Santa Clara, CA.
We're building one of the most agentic, fast-moving AI products in the web search category - and we need a leader who can own it end to end. This is a cross-functional group leader role sitting at the intersection…
We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With…
OGA (Sevilla) seeks a Generative AI Engineer to build LLM-based applications — RAG document search, AI assistants, agents with tool calling, and process automation — that work reliably in real enterprise settings. Core stack: Python, LLM APIs and open models, prompt engineering, RAG pipelines, orchestration frameworks and LLMOps/evaluation.
Broad full-stack engineering role at Patronus AI building simulation environments, agent-training infrastructure, internal developer platforms, and ML model serving for AI evaluation research. A hands-on generalist working across frontend, backend, infra, and LLM/agent tooling, on-site in San Francisco 5 days a week.
Staff engineer owning the architecture and hands-on delivery of Fanatics' internal AI platform: the LLM gateway, agent/MCP runtime, retrieval layer, evaluation loops, and governance/cost controls. Core stack is Python/FastAPI on AWS (Bedrock), Kubernetes/Terraform, and petabyte-scale data infrastructure.
Senior data engineer at QuantumBlack (McKinsey's AI arm), based in Monterrey, building the data infrastructure and pipelines behind LLM, RAG, and agentic AI systems for client engagements. Core stack: Python, SQL, Spark, Airflow/Dagster, Databricks, LangChain, and Terraform across AWS/Azure/GCP.
Deloitte R&D and Innovation Center is looking for a Head of AI Solutions . We are looking for a senior, client-facing technology leader to shape, sell, and deliver high-impact AI and agentic-AI solutions for…
Senior principal-level individual contributor serving as chief architect for PlayStation's Data & Intelligence organization, setting multi-year architecture and standards for data products, ML systems, real-time activation, and generative AI while staying hands-on. Requires deep distributed systems, cloud, data/ML platform and governance expertise at massive consumer scale.