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Design, build, deploy, and continuously improve production-grade LLM-powered agentic AI solutions within enterprise client environments using Python, FastAPI, agent orchestration frameworks (LangGraph, LangChain, etc.), MCP, and context engineering.
The Senior Data Engineer will build and maintain data ingestion pipelines, lakehouse structures, and CI/CD workflows using AWS and AI-focused technologies. The role involves establishing data engineering standards and implementing data quality and security controls within a hybrid work environment.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Você é apaixonado por automação, otimização de processos e IA aplicada? Quer participar do desafio de construir e evoluir agentes de IA e automações que operam em canais reais (WhatsApp, e-mail e ligações),…
Full-stack engineer building services with Node.js, TypeScript, and React while integrating AI/LLM features (MCP, agentic workflows) into production for an HR/Payroll multinational in Barcelona.
Full-Stack Software Engineer building end-to-end services with Node.js/TypeScript backend and React frontend, integrating LLMs and agentic workflows via MCP for an HR/Payroll multinational in Barcelona. Stack includes AWS, Kubernetes, PostgreSQL, Redis, and RabbitMQ.
Design, develop, and deploy AI agents and multi-agent systems using LLMs, building RAG pipelines and agent workflows with frameworks like LangChain, LangGraph, AutoGen, and CrewAI.
The Principal Software Engineer will build and own a durable orchestration platform for agentic AI systems, enabling long-running, multi-agent scientific workflows. The role focuses on architecting scalable, reliable infrastructure on AWS to transition AI research prototypes into production-grade systems.
Lead AI/ML and computational projects to accelerate pharmaceutical R&D, designing agentic workflows that integrate LLMs with omics, biomolecule design, and systems biology tools for end-to-end scientific pipelines.
AI DevOps Engineer designing, automating, and securing AWS cloud-native infrastructure while integrating AI-powered tools into CI/CD pipelines, observability, security, and infrastructure automation.
Full Stack AI Application Engineer at FPT Software in Singapore, responsible for hardening AI prototypes into production-grade solutions using React, TypeScript, Node.js, Python, and Azure AI services.
Lead the design and delivery of production-grade chatbot and agentic AI systems at Snoonu (Qatar's super app), using AWS Lex, Bedrock, Claude, and agentic frameworks to automate customer support, order verification, and logistics workflows.
AI Engineer at IBM Client Innovation Centre Quebec (LGS) deploying and monitoring LLM/AI models into production using containers, CI/CD, and cloud AI services, while collaborating with data scientists on large-scale digital transformation projects.
Welcome to Your Next Adventure! We are looking for an Engineering Lead to own and drive Snoonu's Conversational AI and Driver Automation platform — a portfolio spanning IVR systems, multi-channel chatbots, and a…
Design and build autonomous AI agents and multi-agent systems using LLMs, agent frameworks, and production-grade AI platforms.
Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
AI Architect serving as enterprise design authority for AI architecture at a real estate firm, defining reference architectures, platform standards, and roadmaps focused on GenAI, LLMs, RAG, AI agents, and MLOps/LLMOps across cloud and on-prem environments.
Principal Software Engineer at Sinch Telco driving AI-powered development practices, using AI agents to design, build, and deliver software while shaping engineering workflows.
The Lead Data Scientist will oversee the enterprise AI strategy, managing teams focused on Generative AI, MLOps, and machine learning applications for HVAC and data center operations. This role involves leading the end-to-end AI lifecycle, from experimentation to production, while aligning technical initiatives with business goals.
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