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Build AI-Driven Systems: Architect and implement advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning. Knowledge of vector databases, embeddings, or search-based AI.

The role will be responsible for designing test plans, executing test cases, documenting results. You will work closely with developers and product owners to deliver stable high-quality technology solutions.

Experience in front-end development using Angular and TypeScript. Experience with Python for back-end development and data manipulation.

We're now seeking an experienced AI Software Engineer to optimize LLM inference performance. Skilled in innovative LLM architectures, covering inference optimization, profiling, and compiler-level performance tuning.

work authorization (e.g. Plan Ahead!

Lead Full Stack Developer � Hybrid NYC We are seeking a versatile, high-impact Lead Full Stack Developer to join a specialized GenAI / GenUI team, helping brands create innovative AI-driven interfaces while contributing to broader web development projects. Architect, build, and maintain full-stack web applications and backend services (Node.js, SQL/NoSQL).

Experience with containerization technologies and container orchestration platforms like Kubernetes. Strong understanding of distributed systems, networking, and database technologies.

at least 4+ years of professional experience in WordPress development, with at least 1�2 years working within WordPress VIP or similar enterprise-grade WordPress environments. Familiarity with WordPress REST API, GraphQL, and headless WordPress architectures.

We�re hiring Sr Software Engineer � Backend & AI Integration in Palo Alto, CA , It's Hybrid role . Key Responsibilities � Develop scalable backend systems using Python (Django, Fast API) � Design and maintain secure RESTful APIs and backend services � Model and manage data using relational databases and ORMs � Build containerized services using Docker; deploy and debug on Linux � Integrate AI features using LLMs or external AI APIs � Collaborate on frontend features using JavaScript/TypeScript and frameworks like Svelte, React, or Angular � Implement unit and integration tests, CI/CD pipelines, and observability tools � Ensure security, performance, and compliance across services Technical Skills: � Python, Django, Fast API � REST API design and development � SQL databases (PostgreSQL/MySQL) and ORMs (Django ORM, SQL Alchemy) � Docker, Git, CI/CD pipelines � JavaScript/TypeScript (basic proficiency); modern frontend frameworks Bonus Points For � Asynchronous Python (e.g., asyncio, Fast API async routes) � Event-driven architecture (Kafka, RabbitMQ) � Kubernetes, Helm, or IaC tools (Terraform, Ansible) � Security/auth (OAuth2, OpenID), RBAC � Monitoring/observability (Prometheus, Grafana, ELK) � Experience with AI model serving, ETL pipelines, or compliance standards Droisys is an equal opportunity employer.

As a Software Infrastructure Engineer, you�ll design, build, and maintain the internal software systems that power our AI/ML workflows, connect our robots, and streamline developer operations across the company. You will own core services used daily by researchers, roboticists, and field teams � including internal APIs, experiment tooling, data systems, and compute orchestration.

Inspects business specifications, programming specifications, coding, test plans, documentation, and implementation plans for accuracy. On-call Support - Provides 24/7 on-call support via rotations.

We are looking for a product-minded Software Engineer to explore new 0?1 opportunities in AI and define the future of AI-powered marketing. What You'll Work On Own 0?1 AI Opportunities: Take ownership of exploring and developing new product lines, particularly within the marketing domain, leveraging AI/ML.