Docker jobs
172 open roles for docker, updated continuously as employers post them.
Lead Engineer - AI Engineering
Lead AI Engineer role in Bengaluru for an AI engineer with a master's degree and at least 3 years of experience building agentic and generative AI systems. The role covers multi-agent architecture, enterprise integration, production deployment, evaluation, and safety.
Delta6Labs - Senior Backend Engineer - Node.js
Senior Backend Engineer role in Noida for a Node.js developer with five to seven years of experience. The work focuses on secure APIs, microservices, data systems, messaging, and cloud operations for fintech products.
Machine Learning Operations (MLOps) Engineer - VOIS
Vodafone is hiring an MLOps Engineer in Pune to operate production machine-learning systems and build enterprise AI infrastructure. The role requires at least three years of relevant experience plus strong Python, SQL, cloud, and deployment skills.
AI / Generative AI Engineer - Agentic Systems & Platforms - VOIS
Vodafone is hiring a full-time AI / Generative AI Engineer in Pune to build enterprise LLM applications, RAG systems, and agentic workflows. The role suits Python backend engineers with cloud, data, and production AI experience.
Senior Software Engineer, AI Framework Integrations
Hybrid senior engineering role in Gurugram building MongoDB integrations for AI frameworks and developer tools. It suits experienced Python or TypeScript engineers comfortable with open-source ecosystems and evolving AI tooling.
Senior AI Engineer
Kale Logistics Solutions is hiring a Senior AI Engineer in Pune to build AI products and production-grade Python services. The role suits an engineer with five to seven years of experience across backend development, cloud, databases, and applied AI.
Senior Agentic Platform Engineer (Python/ML)
LabVantage is hiring a Senior Agentic Platform Engineer in India to build Python services, APIs, and runtime workflows for a multi-tenant AI-agent platform. The role requires five years of Python engineering experience and substantial hands-on AI-agent experience.
Data Scientist
Full-time Data Scientist role focused on production LLM, RAG, and agentic AI systems across several Indian locations. It suits engineers with Python, retrieval, orchestration, and deployment experience.
Python Senior Engineer
Python Senior Engineer role for an India-based engineer with six or more years of experience in backend software, APIs, databases, AWS and Docker. You’ll contribute to scalable production systems and AI transformation work with distributed international teams.
Full Stack Engineer
Delhi NCR full-stack role building PERN-stack applications for a dropshipping and B2B marketplace platform. It suits developers with three to five years of React, Node.js, Express, and PostgreSQL experience.
AI / ML Engineer
On-site Bangalore AI/ML Engineer role focused on production LLM applications, agents, RAG, memory, and backend services. It suits engineers with two to six years of experience who can own AI features from prototype to release.
Senior AI Engineer
On-site Senior AI Engineer role in Bengaluru focused on architecture, reliability, and production standards for AI-powered hiring systems. It suits engineers with four or more years of experience building agents, RAG systems, orchestration, and asynchronous services.
Full-Stack Engineer
Build full-stack developer and infrastructure experiences for a machine-learning platform. This remote role suits an experienced Go or Python engineer with React, Next.js, API, and high-scale web application experience.
AI/ML Engineer
Hybrid AI/ML Engineer role in Pune for someone with 3–5 years of experience developing and deploying production machine-learning systems on AWS. The work includes Python, NLP, computer vision, containerisation, and Kubernetes.
Full Stack Engineer
Full Stack Engineer position at Mem0 for a remote India-based engineer with three or more years of experience in Next.js, React and Python. You’ll build developer-facing platform features for AI memory infrastructure and operate them in production.
AI Engineer (Backend)
Remote AI Engineer role for a backend-focused professional with 5–9 years of experience building production AI services and APIs. The position combines backend engineering with LLM applications, RAG pipelines, AI agents, and cloud deployment.
ai developer (python)
Remote middle-level AI Developer role for a Python engineer with 3+ years of commercial experience. The work covers AI agents, LLM integration, RAG, FastAPI services, vector search, and asynchronous systems.
mlops engineer
Remote MLOps Engineer role focused on model operations, cloud ML platforms, containers, experiment tracking, and CI/CD. The posting does not provide a salary range.
Sr. Agentic AI Engineer
Senior Agentic AI Engineer role for a remote engineer with seven to eleven years of experience building production LLM agents and IT-operations automation. The work combines Python, agent orchestration, enterprise integrations, voice AI and production reliability.
Staff Data Security Developer (Remote - Americas)
A remote Staff Data Security Developer role at Shopify, securing and scaling the company's data platform infrastructure. Suited to a senior infrastructure or security engineer with cloud and systems-level experience.
Senior Solution Architect -Data & AI
A senior data and AI solution architect role at an FMCG/cosmetics company in Hyderabad, built around Google Cloud. Suited to an experienced architect with a GCP Professional Cloud Architect certification.
AI Engineer
Onsite AI Engineer role in Bengaluru focused on LLM applications, agents and backend services for telecom SaaS. It suits an engineer who can deliver retrieval-based AI features and operate them in production.
Research Engineer III
Onsite Research Engineer III role in Bengaluru focused on multimodal document intelligence for construction software. It suits an experienced AI researcher who can develop deep-learning systems and help move them toward production.
Applied AI Engineer
Onsite Applied AI Engineer role in Bengaluru focused on LLM applications, agentic workflows, retrieval systems and backend services. It suits an experienced Python engineer who can take AI features into production.