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Senior Solution Engineer at Token Security, a cybersecurity startup focused on Non-Human Identity (NHI) and AI Agent Identity Security. You translate complex identity risks into business value for enterprise security buyers, run live platform sessions, and prove Token’s technical advantage in customer environments.
Entry-level 'Vibe Coding Engineer' (0-3 years, fresh graduates welcome) working remotely from India to rapidly prototype AI-powered apps and internal tools using AI coding assistants like Cursor, Claude Code, Copilot, and ChatGPT. Core stack includes Python, JavaScript/TypeScript, Node.js or Golang, plus React, Next.js, REST APIs, and LLM concepts like prompt engineering, AI agents, and RAG.
Senior full-stack engineer at GigaRev, an AI-first services company building client-facing web apps, dashboards, portals, and automation systems. Day to day: build with React/Next.js/Node, review and stabilize AI-generated prototypes into production systems, and own architecture, security, performance, and reliability across client-deployed applications.
Full-stack engineer building the LLM agent layer behind OpenArt's AI creative products: extending the agent harness (tool use, memory, multi-step planning, sub-agents), developing MCP servers and CLI tooling, and shipping production React/Next.js frontend experiences used by millions of creators.
Senior/staff engineer to own the end-to-end agent architecture (harness, orchestration, memory, evals, MCP/CLI tooling) behind OpenArt's AI creative products like Director, while staying hands-on shipping React/Next.js frontends. Requires 7+ years full-stack experience including 2+ years building production LLM agents.
Data Engineer in Singapore (5+ years) designing agentic AI workflows with LangGraph and LLMs, including Agent-to-Agent orchestration and prompt engineering. Day to day involves production-grade Python with pytest, GitLab CI/CD, reusable data components, and MLOps pipelines (MLflow, Kubeflow, Azure ML) on Azure/Kubernetes.
Hands-on full-stack engineer (5–6 yrs) building production generative-AI/LLM applications end to end: Python/Django backends and APIs, React frontends, agentic frameworks like LangChain/LangGraph, SQL/NoSQL data, and Docker-based deployment on GCP/Azure. Pays ₹25–35 LPA for immediate or quick joiners.
Remote (India-based) senior AI engineer who builds production generative-AI systems end to end for enterprise clients: LLM application architecture, RAG and retrieval layers, agentic workflows, fine-tuning, evaluation harnesses, and inference cost/latency optimization, using Python, LangChain-family tools, vector databases, and PyTorch/Hugging Face.
A senior full-stack developer (6-8 years) builds production-grade AI/GenAI web applications end-to-end in Gurugram, using Python (FastAPI/Flask), React/TypeScript, and the LLM ecosystem (RAG pipelines, agents, vector DBs), with REST/microservices, SQL/NoSQL, Docker and CI/CD.
Senior full-stack engineer (6-10 yrs) building and scaling real-time features for a global B2B hotel marketplace: React.js/TypeScript frontends plus Java Spring Boot microservices on AWS, with GraphQL, event-driven pipelines (SQS/Kafka), caching, observability, and AI-assisted development tools. Remote (work from home) in India.
Technical Lead - Full Stack Developer at HCLTech's Lucknow office, designing and building scalable web applications, REST APIs, and microservices while mentoring developers and driving architecture, code quality, and CI/CD. Core stack: React.js, Angular, Java/Spring Boot, Kafka, MSSQL/MongoDB, Docker/Kubernetes, and AWS/GCP.
FinArb, an AI/analytics consulting firm, is hiring a hands-on Full Stack Engineer in Kolkata to own features end to end — data model, APIs, UI, and deployment — across web applications and AI products. Day-to-day work spans TypeScript/React/Node and Python, LLM integration (agents, RAG, tool calling), and deployment on AWS or Azure.
CirrusLabs is hiring a Full Stack Engineer in Hyderabad to build and deploy end-to-end web applications using JavaScript/TypeScript with React/Angular/Next.js frontends and Node.js, Python, or Java backends on AWS/Azure/GCP. The role also requires 1+ years building GenAI/LLM-powered solutions using platforms like Claude, Gemini, Vertex AI, or OpenAI, with direct client-facing delivery ownership.
Prompt engineer builds, tests, and refines LLM prompts and RAG pipelines to power an executive dashboard at a large Russian bank, using Python, vector DBs, and AI monitoring.
Leads development of production-grade AI systems — LLMs, RAG architectures, LangChain/LangGraph, and multi-agent workflows — for an AI-powered learning platform in Madrid (hybrid). Day to day it's Python ML and software engineering with AWS/Airflow-style tooling, collaborating with Product, Data, and Engineering teams.
A senior engineer building production-grade AI/ML systems — LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows — at a product-led learning-tech company in Madrid (hybrid). Day to day: Python/ML and software engineering on AWS with Airflow/ML platforms, collaborating with Product, Data, and Engineering teams.
Trust In Soda is hiring a Senior AI/ML Engineer in Madrid (hybrid) to build production-grade AI systems for an AI-powered learning product, working with LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows alongside Product, Data, and Engineering teams. Core stack: Python, ML, AWS, and Airflow.
Capitole is hiring a full-stack engineer to join an HR/payroll multinational in central Barcelona (hybrid, 3 days onsite). Day to day: building end-to-end services with Node.js/TypeScript and React, designing REST/OpenAPI APIs, and building MCP-enabled, LLM-driven agentic workflows deployed on AWS, Kubernetes and Docker.
A Senior Data/AI-ML Engineer in Madrid builds production-grade AI systems for a product-led learning company, working with LLMs, RAG architectures, LangChain/LangGraph, and multi-agent workflows on AWS and Airflow. The role is hybrid, collaborating with Product, Data, and Engineering teams.
Senior full-stack/GenAI engineer joining an international AI products team to evolve a secure, enterprise-grade GPT platform. Work is ~90% back-end with Node.js and TypeScript (plus occasional Next.js/React front-end), built on Azure services like App Services, Cosmos DB and Application Insights, integrating AI APIs such as OpenAI and Anthropic. Hybrid role in Sallent, Spain with two onsite days p
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