Tech jobs
Job listings
AI Engineer
Senior AI Engineer designs, builds, and deploys production-grade GenAI/LLM solutions using Python, RAG, AI Agents, and cloud platforms like AWS/Azure.
Senior .NET Developer (AI Savvy)
Senior .NET developer builds scalable C#/.NET backends and integrates AI features like LLMs, embeddings, and RAG into web services and APIs.
General Pipeline - FullStack Applied AI Engineer
Build full-stack AI-native products, prototypes, and platforms using Python, React/Next.js, and LLM workflows while rapidly iterating from zero-to-one ideas to production systems.
Senior Agentic AI Engineer (Python)_Boston
Build and deploy enterprise-grade AI agents and multi-agent systems using Python, LangChain/LangGraph, and RAG architectures for scalable copilots and automation.
IN_Senior Associate_GenAI Integration Engineer_GCC_Advisroy_Hyderabad
Build and deploy GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python-based backend services for enterprise clients.
AI Engineer
Builds AI solutions like RAG pipelines and intelligent assistants using Python, LangChain, and vector databases to power financial services.
AI Engineer
Build full-stack AI systems, including backend services, APIs, and frontend components, to power agentic frameworks and prototypes using frontier model APIs and Snowflake data infrastructure.
Senior Software Development Engineer
Build and deploy AI-powered agents and full-stack applications using Node.js, React, and cloud services to serve thousands of users, focusing on scalability, reliability, and AI integration.
Lead AI Engineer
Lead a small team to build AI-powered memory and proactive intelligence systems that track user context and alert on changes, coding more than 50% of the time.
AI Engineer (Python Software Engineer + GenAI) | Digital&IPA (freelance)
Build and deploy AI-powered applications using Python, LLMs, and vector databases. Design scalable GenAI systems with cloud-native tools and enterprise integration patterns.
Backend Engineer (AI) HUSA Client
Build and scale AI-powered backend systems using Python or Java, integrating RAG pipelines and intelligent agents to transform data into actionable business insights.
Senior AI Agent Engineer
Build production-grade, tool-augmented AI agents using LLMs, RAG, and agent orchestration frameworks, integrating them with enterprise systems and enforcing safety policies.
Senior Data Engineer, Data Quality
Build and govern scalable data pipelines and quality frameworks to power AI-driven analytics and reporting for a global shipping-tech company.
(Independent Contractor): Content Maintenance Specialist- Generative AI
Maintain and update Udacity’s AI/Generative AI courses by debugging Python exercises, updating LLM frameworks (LangChain, LlamaIndex), and ensuring workspaces and cloud labs stay current with the latest tools and APIs.
Full Stack Developer (AI-Enabled)
Build and ship full-stack web apps while using AI coding assistants daily and integrating LLM features (RAG, chatbots) with modern stacks like React, Node.js, and cloud services.
Senior Solutions Architect - AI and Core Networks - London
Designs autonomous network solutions for mobile/fixed telecoms using AI frameworks (Vertex AI, LangGraph), network programmability, and agentic systems to optimize performance and cost.
Senior Manager - Applications Development
Senior Manager - Applications Development Location: Pune - Panchshil, Mumbai - Hiranandani, Gurugram - DLF Building Remote Type: Hybrid Time Type: Full time Job Description Company: Marsh McLennan Agency Description:…
Solutions Architect (AI Native SDLC)
Design and prototype AI-augmented software development workflows, including agentic systems and LLM-powered tooling, to improve enterprise engineering throughput and automation.
Platform Engineer (AI / Data Platform, 30-40K)
Build and maintain the AI platform and data lakehouse, automating operations and deploying services using Python, Kubernetes, and MLOps tools.
Machine Learning Operations Engineer
Build and deploy LLM-powered tools, RAG systems, and agentic workflows, then run the Kubernetes-based AI infrastructure that serves them reliably across the company.