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Build AI-native, full-stack tools and agent workflows for Antithesis's go-to-market teams (Sales, Marketing, RevOps), from automations to production apps for research, enrichment, and account scoring. Current stack includes TypeScript, React, LangChain, and AWS, with integrations into Salesforce, Marketo, and Gong.
The Principal AI Engineer at United Airlines in Chicago will design and deliver production‑grade AI agentic workflows and conversational AI solutions for retail channels, using Python, AWS cloud services, microservices, and LLM integration, while leading technical standards and collaborating across product and engineering teams.
Leads a GenAI Forward Deployed Engineering team within Google Cloud Consulting in LATAM, managing AI/ML engineers who build, debug, and deploy bespoke agentic AI solutions directly in customer environments. Core focus on Python, GenAI/multi-agent systems (RAG, tool-calling, MCP), plus team leadership, hiring, and cross-functional alignment with Sales and Product.
Engineer at VinFast's Speech & Language Processing Center building and fine-tuning ASR models (Vietnamese, English, Bahasa) for cloud and on-device (Android/embedded) use in vehicles. Day-to-day: train/optimize speech models, build ML pipelines and serving infra, and optimize inference with tools like ONNX Runtime, TensorRT, and CUDA.
Build and optimize LLM-based AI agents for VinFast's SLP Center in Hanoi — designing multi-agent orchestration, RAG pipelines, function calling, and evaluation frameworks, plus fine-tuning and inference optimization. Core stack: Python, LangChain/LangGraph, PyTorch, Hugging Face, vLLM, Docker, and cloud platforms.
VinFast is hiring a Foundation AI Engineer to research, pretrain, and post-train LLMs/SLMs powering its robot and virtual assistant products, including Vietnamese-language domain adaptation, RLHF/DPO alignment, distributed training on GPU clusters, and model distillation for on-device deployment.
AI Engineer at EV maker VinFast building an in-vehicle conversational AI assistant: fine-tuning and evaluating LLMs (SFT, LoRA, RLHF/DPO), building RAG and multi-agent orchestration, optimizing models for on-device edge inference, and running production MLOps/LLMOps. Core stack: Python, PyTorch, HuggingFace, vLLM, TensorRT/ONNX/TFLite.
Senior software engineer builds and scales generative AI, chatbots, and internal services using TypeScript/Node.js, cloud platforms, and CI/CD in a hybrid role at a Brazilian fintech.
Senior software engineer builds and scales generative AI features, chatbots, and internal integrations using TypeScript/Node.js and cloud services in a fast-paced agile team.
Part-time student job (two days a week) in Lund: handle incoming technical support tickets within a client's ~15-person Generative AI team, troubleshooting issues, documenting cases, and collaborating with AI engineers on data-related questions. Requires ongoing university studies in IT/CS and fluent Swedish and English; Python scripting is a plus.
Are you an ambitious student looking to build a career at the overlap of AI and manufacturing? Are you excited about the latest developments in GenAI and agentic systems? Do you want to learn how to build & deploy…
Senior Python engineer building production AI agents and Retrieval‑Augmented Generation systems, designing, implementing, testing, and optimizing agent architectures using FastAPI/Django, PostgreSQL, Redis, Docker, and various LLM APIs and frameworks.
Lead AI security solutions end-to-end—from research design through production deployment—focusing on NLP and LLM-based systems to protect enterprise AI tools and infrastructure. Core technologies include Python, PyTorch, HuggingFace, and LLMs.
Embedded AI engineer building and deploying AI-enabled solutions for Boston Scientific's global supply chain and sourcing teams, translating business workflows into production-ready applications, data pipelines, and ontology objects. Core stack includes TypeScript, Node.js, React, Next.js, Python, and LLM/AI agents.
Build and deploy GenAI applications for customers using cutting-edge techniques, tools like LangChain and PyTorch, and Databricks’ platform; advise clients and present at industry events.
AI Engineer (Agentic AI) Location: Exton, PA (HQ) · Work Mode: Hybrid and Open to Remote for senior candidates Type: 6 Months Job Summary We are looking for AI Engineer (Agentic AI) to build and deploy production-grade…
Applied AI Engineer New York City, NY (Hybrid - 3 days onsite, LOCALS ONLY) 12 MONTHS CONTRACT Our client is seeking an Applied AI Engineer with 10 years of experience to design, build, and operationalize generative AI…
Company: iTech US, Inc. Job Title: AI Engineer Location : Cincinnati, OH (Onsite) Job Responsibilities: Build and deploy LLM-based applications, agents, and RAG solutions using LangChain/ LangGraph. Develop prompt…
Owns lemlist's production agentic AI system that automates sales prospecting and pipeline generation — working daily on agent orchestration, context engineering, memory/retrieval, and evaluations/guardrails to balance quality, latency, and cost. Core tech: LLMs, orchestration frameworks (LangGraph, Agno, Mastra), and vector databases.
Who we are: Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. About the Product: This is a…
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