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Mid-level full stack engineer building features end to end (backend services, APIs, data pipelines, frontend UI) with a focus on integrating AI/ML such as LLMs and RAG pipelines into production apps. Fully remote contract role collaborating with international clients, using Python/Node.js, React/Angular, AWS, and Docker.
Python developer building generative-AI products: designs RAG architectures and intelligent agents, integrates LLMs (GPT/BERT) with AWS/Azure serverless services (Lambda, Bedrock, SageMaker), and automates CI/CD pipelines. Requires LangChain/LlamaIndex and vector DB experience (Pinecone, PGvector). 100% remote within Chile, permanent contract.
Salary: £90,000 - 100,000 per year Requirements: 5+ years of commercial Python engineering experience, including production backend systems Strong FastAPI, REST API, asynchronous Python, PostgreSQL, and SQL experience…
AGM Solutions is hiring a Data Scientist / AI Engineer for a Milan project, working fully remote with occasional trips to Milan or Bologna. The role focuses on designing agentic RAG architectures using Python, FastAPI, AI model integration, SQL/big data, PostgreSQL, Pgvector and Redis.
Develops, trains and fine-tunes large language models for decision support, mission planning and workflow automation, building RAG and agentic systems and deploying them to production. Core stack: Python, PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases and Google Cloud (Vertex AI).
A senior hands-on engineer at Capital Group (London) who partners with business teams to design, build, and operate production generative AI solutions — RAG pipelines, copilots, and agentic workflows — supporting the firm's investment process. Core tech: Python, LLMs, vector databases, agent frameworks, cloud-native systems, and MLOps/LLMOps tooling.
Company Description Infinite Control is a technology-focused company specializing in advanced automation and intelligent systems. The organization is committed to leveraging artificial intelligence to solve complex…
Company Overview At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but…
The applicant must possess: a recognised university degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fields; a minimum of 5 years’ post-qualification work experience…
ABOUT HONEYWELL Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel,…
Who we are Intrepid Asia is a leading e-commerce and Digital Solutions Provider in Southeast Asia. We offer end-to-end omni-channel ecommerce management, Livestreaming, Video production & Affiliate Management for…
About the team / Role Hands-on database engineering role focused on implementing, optimizing, and modernizing data systems across the technology stack. Works closely with Database Architects to execute modernization…
The State Street Global Advisors (SSGA) - Global Head of Data, Analytics & AI Services (GHDAAIS) is seeking to hire a Senior Principal Data Scientist, Vice President at Hangzhou office. This role will play a key…
We are looking for a skilled and curious mid-level Python Developer with hands-on experience in AI / Generative AI technologies to join our engineering team. This role is ideal for engineers who can independently build…
Who We Are At Bluehost, we believe all small businesses deserve the opportunity to succeed online. Our mission is to give small businesses the confidence to think big. We're the all-in-one platform for small…
Senior backend engineer on Constructor's ML Infrastructure team, building and operating high-load distributed Python services and platform capabilities (model serving incl. LLMs, data pipelines, vector storage) so ML and product teams can run ML at scale. Fully remote, primarily AWS/Kubernetes.
Builds internal AI platforms and data systems at Apple — agents, RAG/retrieval pipelines, and LLM tooling — that help engineers shipping next-generation sensing technologies work faster. Core stack: Python plus Swift/TypeScript, backend services, AI/agent frameworks, and vector search.
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