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We are looking for an experienced AI Engineer to join our team and work on enterprise AI solutions involving Generative AI, LLMs, NLP, RAG, and Microsoft Azure . What you’ll be working with: • Python & SQL • Azure…
The Forward Deployed Engineer works directly with enterprise clients to build, deploy, and scale custom technical solutions, including AI and LLM integrations. This role acts as a bridge between client needs and core product development, requiring strong software engineering skills and the ability to communicate with technical stakeholders.
Senior Data Engineer builds and optimizes scalable data pipelines using PySpark, Databricks, and Azure Cloud for a Big Four accounting firm’s AI-driven tax services platform.
Senior Data Engineer builds and optimizes PySpark applications on Databricks for a Big Four firm, using Azure Cloud, Delta tables, and microservices to process and transform enterprise data.
Senior/Lead Data Engineer building and optimizing Spark/PySpark applications on Databricks for an Exadel client project, using Python, Delta Tables, and Azure Cloud in a collaborative, cross-functional team.
Exadel is seeking a Senior/Lead Data Engineer to design and maintain scalable Spark applications and data pipelines for a major professional services client. The role involves utilizing PySpark, Databricks, and Python to optimize data processing workflows within an Azure-based microservices environment.
The AI DevOps Engineer will manage and modernize hybrid cloud infrastructure, focusing on MLOps, AI pipeline automation, and GPU workload orchestration for a trading environment. The role involves leveraging tools like Kubernetes, Terraform, and various AI frameworks to ensure scalable and reliable infrastructure.
This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
Engineer and optimize prompts for Sberbank’s GigaChat LLM suite, integrating models via API and testing for quality and hallucination reduction.
Own the full data lifecycle in Azure: build Python-based data pipelines, FastAPI services, and AI integrations, then deliver dashboards and containerized apps on AKS.
Builds and deploys core AI platform components for NICE, including agent orchestration, RAG pipelines, and LLM integration, enabling enterprise automation across systems like Salesforce, ServiceNow, and Azure services.
The QA Lead will define and execute quality strategies for a cloud analytics platform, focusing on both traditional software and AI-powered, agentic systems. The role involves leading automation efforts, establishing testing methodologies, and ensuring reliability across CI/CD pipelines using Python, TypeScript, and various AI frameworks.
Leads enterprise Data & AI architecture and client engagements, designing scalable cloud-based solutions and integrating AI tools to improve engineering workflows and business outcomes.
Lead AI Analytics Engineer architecting data pipelines, vector databases, and multi-agent orchestration frameworks (LangChain/LangGraph) to power autonomous risk detection in Grab's Trust & Safety team using Python and LLMs.
Design, build, and optimize enterprise AI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini), RAG architectures, vector databases, and Python-based cloud-native development.
AI DevOps/MLOps Engineer building and automating CI/CD pipelines for LLM and AI model deployment on Kubernetes/OpenShift, using Jenkins, Docker, Terraform, and model serving platforms for a Singapore-based bank.
Develops and maintains MCP servers in Quarkus, enabling AI capabilities like tools, resources, and prompts while integrating with DataHub APIs and ensuring secure, observable, and governed AI interactions.
The Principal AI Software Developer leads the design and implementation of large-scale, mission-critical AI and LLM systems for federal agencies using a modern cloud stack including Next.js, Terraform, and major cloud providers. This hands-on role involves architecting AI solutions, establishing MLOps practices, and ensuring compliance with federal security and AI policy standards.
Designs and builds AI-powered tools (LLMs, RAG, agents) for enterprise software engineering and DevSecOps, integrating with Azure cloud and ensuring compliance with VA AI governance.
Build and scale a fintech platform for private investors using React/TypeScript on the frontend and Node.js on the backend, with Next.js and GraphQL.
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