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We’ve come a long way since we first opened our doors, but our mission has always stayed the same: to provide world class solutions for the travel industry. Travel Booster is a constantly improving ERP solution that…
About the team You’ll join a collaborative software engineering team building end-to-end web experiences that help customers and internal partners move faster and make confident decisions. Our team works across…
About Peak3 Peak3 is an award-winning vertical SaaS provider, enabling more relevant, convenient, and affordable insurance protection for everyone through our technology and ingenuity. Together with our clients, we…
gigalabs-private-ltd in Lahore (Johar Town, G4) seeks an experienced backend engineer to build AI-driven APIs and automate data workflows using FastAPI and n8n. You will ensure data quality for LLM pipelines, manage…
Build production-grade AI agents for enterprise planning, designing scalable systems that reason about high-stakes decisions using Python and MongoDB.
Simulations Plus stands as a global leader in model-informed and AI-accelerated drug development. We create value for our clients by accelerating the discovery, development, and commercialization of pharmaceuticals and…
We believe in the power and joy of learning At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving…
About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping…
Principal AI Product Manager at consulting firm West Monroe, advising enterprise clients on embedding AI across the software development lifecycle — AI-assisted coding, automated testing, and DevOps optimization — while leading cross-functional teams and shaping product strategy. Requires 8+ years in product management and hands-on experience with AI/LLM tooling.
Hands-on Technical Director building data platforms and AI infrastructure (LLMs, RAG) using Python, AWS, and vector databases.
Leads DevSecOps teams to integrate security into CI/CD, IaC, and AI/ML pipelines at a global ad-tech analytics firm, ensuring secure, compliant, and efficient software delivery while specializing in AI/ML security, cloud-native security, and automation.
Nosso propósito é criar tecnologias que desafiam as melhores do mundo e mudam o jogo para nossos clientes. Por isso, buscamos profissionais que desejam fazer parte de uma cultura pautada pela excelência e inovação. Se…
Responsibilities As an LLM Engineer for the Noblis OptiSource program supporting AMC's Organic Industrial Base Modernization Office, your responsibilities will include: LLM integration/fine-tuning (GPT, LLaMA,…
Jitterbit is seeking Senior backend engineers to join our AI team. Jitterbit is an iPaaS (Integration as a Service), LCAP, and API Management platform which has been recognized in Gartner MQ for seven straight years.…
Description GlobalLogic is working on an advisory engagement to design an AI-powered search assistant for project documentation accumulated over roughly 20 years, currently stored on an isolated, internet-disconnected…
GlobalLogic is working on an advisory engagement to design an AI-powered search assistant for project documentation accumulated over roughly 20 years, currently stored on an isolated, internet-disconnected file server.…
Assess and document security controls for AI/LLM systems in AWS cloud environments, ensuring compliance with DoD and NIST standards while integrating security into DevSecOps pipelines.
About the Role This is a founding engineering role at an early-stage B2B SaaS pricing intelligence company, where you will own the evaluation systems, feedback loops, and LLM infrastructure that power AI-driven pricing…
Design and implement production-grade agentic AI systems (LLM-powered agents, RAG, multi-agent patterns) for enterprise clients, ensuring reliability, security, and measurable business outcomes.
Build and deploy production-grade agentic AI solutions like RAG pipelines and multi-agent workflows for enterprise clients, integrating with systems like CRM and ERP using Python and cloud-native AI platforms.
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