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Senior Full-Stack/GenAI engineer building a secure, enterprise-grade GPT platform: ~90% back-end with Node.js and TypeScript, occasional Next.js/React front-end, on Azure (App Services, Cosmos DB, Application Insights) integrating AI APIs like OpenAI and Anthropic. Hybrid role in Sallent, Spain — two onsite days per week.
Builds production-grade GenAI/LLM applications for Australian enterprises, blending technical AI development (Python, LangChain) with client collaboration to solve complex business problems using cloud infrastructure and modern AI frameworks.
Build production-grade GenAI/LLM applications for Australia’s largest companies using Python, LangChain, and cloud platforms like AWS/Azure/GCP.
Responsibilities Collaborate with business stakeholders to gather, analyze, and refine technical and AI-related requirements . Design, develop, and maintain scalable applications, microservices, and APIs . Develop and…
We look forward to welcoming a technical leader who will drive impactful projects, lead and mentor a team of Data Scientists, harness cutting-edge AI technologies and pioneer innovative practices that benefit not only…
We are hiring a Software Engineer in the Artificial Intelligence & Machine Learning job family to join our Enterprise AI Platform team in Israel. The platform powers AI-assisted engineering workflows across Sandisk…
Bitwarden is the trusted identity security leader for millions of users worldwide, empowering enterprises, developers, and individuals to securely manage and share sensitive information anywhere. Bitwarden makes it…
Our Mission NewRocket, a global, full-service Elite ServiceNow partner, helps top enterprise leaders solve their toughest business problems and navigate change with confidence. Our mission it to go beyond, creating…
Overview This role reports into Director/Sr. Manager within Technology GRC and is the technical builder behind the function's agentic AI transformation. The AI Security Engineer III designs, builds, and operates…
The application deadline and start date are subject to change based on the status of the contract. Applications will be accepted through expiration date or until the position is filled. If the contract is not awarded,…
Kharon is hiring an AI Engineer in Denver (in-office 3+ days/week) to rapidly design, prototype, and ship applied AI systems — MCP clients/servers, fine-tuned foundation models, multi-agent orchestration, RAG, and production data pipelines — mostly in Python on AWS, powering its global-security risk intelligence products.
Hybrid full-stack role in Gurugram building AI-powered products end to end: integrating LLM APIs (OpenAI, Anthropic, Gemini, open-source), RAG pipelines, and agentic workflows with LangChain/LlamaIndex, plus APIs and UIs using TypeScript/Node/Java/Python/Go, React/Angular, PostgreSQL/MongoDB/Redis, and AWS/GCP/Azure with Docker and Kubernetes.
An engineering lead at Dentsu Global Services who manages a team while building production full-stack apps (Python/FastAPI, React + Tailwind, Postgres) and integrating LLM APIs (Claude/OpenAI) with agentic coding, tool-use, and guardrails, on Azure. Remote role on a 6 PM–3 AM IST shift coordinating US and India teams.
Junior full-stack engineer at an early-stage AI company building an AI-native platform for process industries (chemicals, pharma, energy, water). Day to day you ship production features across a FastAPI backend and Next.js/TypeScript frontend, with a path into the LangChain/LangGraph agent stack.
Senior pre-sales Solutions Engineer in India acting as the technical authority in sales engagements for an AI, identity and data-security product. Day to day: technical discovery, designing and demoing Dockerized POCs across LLM/AI-agent security, DLP and identity (SSO/OAuth, Entra ID, Okta), and running customer workshops, using Python, Linux and cloud platforms.
Designs and owns Clearstate's LLM-based ingestion and analysis pipeline, converting unstructured MedTech market data (interview transcripts, trade/tender datasets) into validated structured intelligence that lands in BigQuery/Snowflake. Core stack: Python, open-source and API LLMs, prompt engineering, ETL/ELT, and evolving agentic workflows.
A principal-level backend architect role (Pune, on-site) building an AI-integrated global distributed file system and hybrid-cloud data management platform. Day to day: architecting production RAG pipelines, agentic chatbots and vector-database integrations while writing high-performance Golang/Java storage components.
Full-stack developer building AI-driven web applications with React and Python/Django, integrating LLM APIs, RAG pipelines, and AI agents via LangChain/LangGraph, backed by PostgreSQL/MySQL and vector databases, deployed on AWS. Onsite, full-time role in Salem, Tamil Nadu for candidates with roughly 2-4 years of experience.
A senior full-stack/AI engineer (5–7 yrs) who designs backend microservices and APIs in Java/Kotlin (Spring Boot) or Python (FastAPI), deploys ML models to production, and builds frontends in React/SvelteKit on Postgres/MSSQL/NoSQL, AWS/Azure, integrating LLM APIs like Claude, OpenAI, and Gemini.
Owns the full lifecycle of GenAI-powered products at enreap: integrating LLMs and building RAG pipelines and agentic workflows, then shipping production-grade React front ends, Node.js/Python back ends, and AWS cloud infrastructure. Needs 3-5 years of full-stack experience with a strong NLP/transformer foundation.
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