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JUNIOR FORWARD DEPLOYED ENGINEER LOCATION New York, NY, USA (Hybrid work – required to be in office 2–3 days/week) JOB DESCRIPTION At Interplay, we invest, coach, and cofound companies. We're building a…
The Senior ML Solutions Architect will help customers design and implement optimized LLM inference and fine-tuning workflows using the Nebius Token Factory platform. This role involves architecting scalable AI applications, providing technical expertise in RAG and prompt engineering, and collaborating with internal engineering teams to improve the platform.
Senior ML Solutions Architect designs and optimizes serverless LLM inference and fine-tuning workflows for customers using Nebius Token Factory, focusing on production deployment and scalability.
About Passionfroot Creator-led growth is one of the fastest-growing channels in B2B. We build the infrastructure behind it. Passionfroot is the leading platform where modern companies scale creator-led growth, and…
Fully remote backend/full-stack software engineer for an AdTech platform, building scalable PHP/Laravel services on AWS and taking end-to-end ownership of features, while designing and working alongside AI-agentic workflows (LLMs, Claude, tool use). Requires CET ±2h timezone and professional English.
A staffing firm hiring for an enterprise client: a Senior AI Platform Engineer in New York (hybrid, 3 days onsite) to lead AI platform enablement across OpenAI, Gemini, Anthropic, and AWS Bedrock — building LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures while implementing security guardrails, IAM controls, and AI cost/usage management.
Hybrid Data Scientist role with AGM Solutions, working on-site part of the week from Biella, Torino or Milano. Day to day involves building ML models in Python using TensorFlow, PyTorch and Scikit-learn, with preferred exposure to LangChain, SQL/NoSQL databases, AWS/Azure/GCP cloud and Hadoop/Spark big data tooling.
Open Reply (Reply Group) is hiring a DevOps Engineer in Bari, Italy, to design and manage scalable, secure cloud infrastructure on AWS/Azure, build CI/CD pipelines, run Kubernetes/OpenShift platforms, and implement Terraform IaC and monitoring with ELK, Prometheus, and Grafana. Hybrid work on a permanent contract.
Backend engineer in Singapore building scalable Python/FastAPI services and production GenAI applications: maintaining LLM pipelines (OpenAI, Hugging Face Transformers, LangChain), data pipelines for archival content, and graph databases (Neo4j/Memgraph), with CI/CD and on-premise deployment alongside AI/ML teams.
Builds production-grade, AI-powered web applications for the Monetary Authority of Singapore (MAS), developing full-stack apps driven by large language models and agentic systems. Day-to-day work spans secure services, scalable data pipelines, and interfaces integrating LangGraph and vLLM.
Zinkworks is hiring an AI Network Architect to define the AI technology roadmap and lead delivery of Generative AI, Agentic AI, RAG and Network Digital Twin solutions for fixed-line telecom OSS platforms. The role centers on LLM/agent architecture on Google Cloud, plus Python, Kubernetes and multi-vendor delivery leadership.
ML developer on Yandex's Alice LLM special-projects team: designs and orchestrates LLM agent pipelines, improves the 'Explore' research agent's search, reasoning and synthesis quality, builds generation-quality evaluation systems (e.g. LLM-as-a-Judge), and develops supporting ML modules. Core stack: Python, PyTorch/TensorFlow, LLM frameworks like LangChain.
Secure AWS cloud environments and AI-driven pipelines for a healthcare supply-chain platform, using Wiz CNAPP, Code-to-Cloud tracing, and LLM guardrails to prevent vulnerabilities and adversarial attacks.
An AI engineer at IT consultancy Decskill designs, builds, and continuously improves production-grade generative AI agents for business operations, covering agent workflows, tool calling, prompt engineering, evaluation, and observability. The core stack is Python with LangGraph/LangChain-type agent frameworks, plus Docker and Kubernetes.
Senior Forward Deployed AI Engineer deploying Claude/LLM-powered agentic workflows and AI solutions into enterprise ServiceNow environments, blending full-stack engineering, RAG, and client-facing delivery with ~25% travel.
Deploy and scale Claude/Anthropic-powered AI workflows and agentic solutions within enterprise ServiceNow environments, combining full-stack engineering, RAG, and prompt engineering with client-facing delivery (~25% travel).
Full-stack developer at a Hong Kong-listed aircraft leasing company, building autonomous AI systems (multi-agent workflows, RAG pipelines, vector databases) plus the apps around them, with a Python backend, React/Next.js frontend, and cloud deployment on AWS/Azure/GCP with CI/CD and DevOps practices.
Builds and optimizes autonomous AI agents for Bosch's enterprise processes in Hong Kong: LLM/RAG pipelines, multi-agent orchestration, and FastAPI microservices on Azure (OpenAI, AI Search, Blob Storage, Databricks), integrated with ERP/CRM/procurement systems. Core stack: Python, LangGraph/LangChain-style frameworks, Docker/Kubernetes.
Lead AI Engineer at vFairs (a virtual/hybrid events platform) in Lahore, driving architecture for autonomous multi-agent systems that automate event setup and support. Core stack: Python, LangGraph, FastAPI, LLM/RAG pipelines, MCP infrastructure, plus mentoring and integrating AI services with a PHP/Laravel/Vue legacy app.
Build and deploy AI-powered workflows and automations for enterprise clients using ServiceNow and AI platforms, while contributing reusable AI solutions back to the company’s products.
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