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The AI Engineer will design, develop, and deploy AI-powered solutions, focusing on Generative AI, LLMs, and MLOps. The role involves building scalable applications using Python and integrating them into enterprise systems via APIs.
Designs and deploys enterprise generative AI solutions to automate workflows, improve decision-making, and integrate AI with business systems using Python, LLMs, and enterprise platforms like Databricks and n8n.
Leads AI technology and security for a global fintech firm, ensuring secure, scalable adoption of AI tools (e.g., Claude, Azure AI) across enterprise systems. Focuses on integration, governance, and enabling business teams while mitigating AI-specific risks like data leakage or shadow AI.
Design and deliver sales enablement learning content (microlearning, battlecards, coaching scenarios) for F5's global sales org, leveraging Google Gemini AI and instructional design frameworks like ADDIE to accelerate content creation while maintaining educational quality.
Lead AI Back-End Engineer designing and scaling an LLM-powered agent platform using Python/C# APIs, Semantic Kernel, and retrieval systems like pgvector/Azure AI Search. Focuses on agent orchestration, cost/latency optimization, and mentoring engineers.
The Full-Stack AI Engineer designs and maintains secure web applications using React, Next.js, Node.js, and PostgreSQL while integrating LLMs and Generative AI. The role emphasizes AI-native development practices, including the use of AI coding assistants and agentic workflows for end-to-end application delivery.
The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions, including Generative AI and LLM-based applications. The role involves building MLOps pipelines, integrating AI into enterprise systems, and collaborating with cross-functional teams to drive business value.
Senior Software Development Engineer designing and building agentic workflows, LLM integrations, tool-calling systems, and AI-powered features for GRACE, an AI assistant. Focus on application layer development including multi-agent systems, prompt engineering, RAG features, and LLM orchestration across major cloud platforms.
DevSecOps Engineer securing cloud-native applications on GCP and Kubernetes—automating security tooling, refining IAM, and embedding shift-left security practices across the SDLC.
Job Title: Google Gemini Enterprise Security Architect Location: Remote/Travel Most important skills: Gemini Enterprise implementation experience Google Workspace integration (Gmail, Drive, Calendar) Gemini security…
Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business…
The Full Stack AI Engineer designs and builds scalable AI solutions using LLMs, RAG architectures, and vector databases to automate enterprise workflows. The role requires expertise in Python, cloud-native development, and MLOps/LLMOps to deliver secure and compliant AI applications.
Depop is seeking a Backend Software Engineer to join their cross-functional Payments team, collaborating with mobile, web, and data science teams to build scalable solutions for their fashion marketplace. The role involves writing high-quality code using languages like TypeScript, Scala, Java, or Kotlin, and working with relational and NoSQL databases.
The Agentic AI Engineer will build and maintain the shared infrastructure, deployment pipelines, and observability tools for the company's GTM AI agent program. This role involves shipping production services on Google Cloud and integrating various third-party marketing and sales platforms.
Senior AI/backend engineer builds and scales Python-based FastAPI services, RAG pipelines, and LLM agent systems on AWS/Azure, with cloud-native tooling and security best practices.
Senior Full Stack Engineer acting as Second-in-Command to the Tech Lead, building and maintaining regulatory application processing systems with backend APIs, cloud infrastructure, and React-based frontends.
The AI Engineer will modernize legacy training and compliance platforms by integrating production-grade AI systems, including LLMs, RAG pipelines, and autonomous agents. This role involves working within a .NET/C# stack to build scalable, secure AI-native architectures while driving business impact.
The Vulnerability Management Analyst manages continuous monitoring and vulnerability programs for FedRAMP-certified cloud environments. The role involves processing vulnerability data, driving remediation with engineering teams, and utilizing tools like Wiz and LLMs to support government compliance.
The Senior Specialist, Data Science will design and maintain automated ELT pipelines using dbt Core and GCP, while managing infrastructure via Terraform and supporting MLOps initiatives. The role focuses on building scalable data architectures, optimizing BigQuery performance, and integrating enterprise data sources.
Full-Stack AI Engineer building secure, scalable web applications with React/Next.js, Node.js, and PostgreSQL, integrating LLM/GenAI APIs and leveraging AI coding tools across the full development lifecycle on Singapore's government tech stack.
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