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[Job- 31069] Senior Generative AI Developer, Brazil
Build and deploy production-grade generative AI systems using LLMs, RAG pipelines, and agentic architectures on AWS Bedrock and other platforms to deliver enterprise AI solutions.
Senior AI Engineer
Build, deploy, and optimize production AI systems including LLMs and generative AI models, focusing on inference pipelines, performance, and cost efficiency.
Staff AI Engineer
Lead architecture and deployment of production AI systems, optimizing inference pipelines and mentoring engineers in a fast-growing company.
Senior AI Engineer
Senior AI Engineer builds and deploys privacy-first AI systems, including autonomous agents and RAG pipelines, using FastAPI, LangGraph, and cloud platforms to ensure reliable, compliant outputs.
Lead AI Engineer - Agentic Engineering
Lead the design and implementation of production-grade agentic AI systems and AI-augmented software workflows using Python, LangGraph/LangChain, and tools like Claude Code.
GenAI/Agentic AI specialists
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
AI Engineer
AI Engineer at AI Singapore (NTU) to lead AI projects, mentor apprentices, and develop LLM/NLP or computer-vision solutions using Python, MLOps, and cloud platforms.
Freelance Forward Deployed AI Engineer
Senior client-facing role designing and delivering AI data solutions for leading GenAI companies, focusing on labeling, evaluation, and synthetic data pipelines using Python and LLM workflows.
Test - ML/AI Engineer
Build production-grade AI systems (LLM-based agents, retrieval pipelines, orchestration) and shared AI capabilities for construction software products using Python, Azure, and AWS.
Senior .NET Developer (AI/ML Integration)
Senior .NET developer building and maintaining backend services for an AI-driven retail SaaS platform, integrating ML features like LLM APIs and recommendation systems.
Generative AI Python Developer
Builds and maintains a generative-AI cybersecurity platform in Python, integrating RAG, MCP, and prompt engineering to automate threat hunting and improve detection accuracy.
Staff AI/ML Engineer, Large Language Model
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Senior Product Manager – Enterprise Search
Own the enterprise search roadmap for Simpplr’s AI assistant (Magnus) and platform, driving relevance, retrieval, and RAG-powered answers while collaborating with AI and search engineers.
Business Development Representative (US)
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
Staff Software Developer (Full Stack & AI Solutions) - Indaiatuba/SP
Build full-stack applications and AI solutions for John Deere’s product teams, integrating cloud services, APIs, and generative AI to automate workflows and improve decision-making.
Software Developer (Full-Stack & AI Solutions) - Indaiatuba/SP
Build full-stack apps and AI-augmented tools that help Product Managers turn ideas into outcomes, using Python, React, REST APIs, and cloud services.
AI Cloud Platform Engineer (Remote)
Design and deploy AI-powered cloud infrastructure using Terraform, Kubernetes, and RAG pipelines on Azure/AWS/GCP for a large-scale system serving ~300k users.
Python Developer
Develop, test, and debug Python applications, APIs, and backend services in a microservices-based cloud environment using PostgreSQL and AWS.
Machine Learning Engineer
Build and evaluate AI models for Apple’s media services, focusing on search, recommendations, and generative AI systems while ensuring alignment with human expectations.
ML-инженер (LLM)
Builds and deploys LLM-based systems: adapts GPT-like models, writes prompts, sets up RAG pipelines, and integrates services into production using Docker/Kubernetes.