Hands-on senior engineering role building and optimizing real-time speech-to-text pipelines (streaming ASR, VAD, audio processing), improving transcription via context injection, developing LLM-powered post-processing (grammar correction, filler removal, mention resolution), and creating voice-to-action systems. Involves evaluating and integrating ASR models (e.g., Whisper, AssemblyAI, Fireworks) and exploring multimodal (screen+voice+text) assistant capabilities while collaborating with product and platform teams.

Udacity (an Accenture company) seeks external contractors to serve as technical mentors for Agentic AI content. Responsibilities include 1:1 video support, technical deep-dive sessions, and group Q&A. Requires 5+ years technical experience and hands-on knowledge of LLMs, prompt engineering, agent design (tooling, APIs, memory/state), RAG, multi-agent systems, and agent evaluation.

Role involves leading technical customer engagement for AI training, inference and large-scale infrastructure with hyperscalers and cloud providers; responsibilities include design wins, POCs, workshops, deployment guidance, performance tuning, and feedback to product teams. Requires 8+ years experience, BS/MS or equivalent, strong Linux and Python skills, familiarity with GPU acceleration (CUDA), machine learning infrastructure, and cloud/container technologies.

Founding Principal Software Engineer for a new AI-first enterprise SaaS product. Responsibilities include full feature ownership (design, development, deployment, production support), driving technical design, mentoring engineers, and defining engineering best practices. Required: 12+ years software development experience, production Python, experience with high-scale SaaS/cloud applications, and hands-on with open-source tools including Python, Git, FastAPI, and Pydantic. Location: Boston, Massachusetts (Work Anywhere policy). No visa sponsorship provided.

Work on the open-source Triton compiler to design and implement compiler technology (using MLIR and Triton's Python DSL), optimize high-level kernels to efficient low-level GPU code, and hand-tune critical paths (inline PTX). Collaborate with hardware architects and the CUDA compiler team; experience tuning BLAS/deep-learning kernels, numerics/linear algebra, and ML compilers (TVM/MLIR) is a plus. Base salary range: 184,000 USD - 287,500 USD per year.

Lead development and delivery of an AI and technology solutions strategy across Teach For All and its network partners. Responsibilities include identifying and delivering AI-forward products, managing a small team (two solutions engineers and a UI/UX specialist), stakeholder engagement, requirements gathering, measuring impact, community building, and driving adoption. Role is 100% remote, three-year fixed-term, requires valid work authorization in country of hire, and may involve up to 20% travel.

Senior engineer responsible for owning GPU/accelerator clusters and related stack (drivers, runtimes, device plugins, node config, schedulers, serving frameworks) to enable in-house model training and inference. Requires 5+ years in infrastructure engineering with hands-on experience operating GPU or accelerator-backed production environments, strong systems fundamentals (Linux, networking, storage, containers, Kubernetes), Python proficiency, and experience with ML serving frameworks and observability.

CircleCI seeks a Senior Software Engineer with 5+ years of production full-stack experience to define technical direction, build AI-native interfaces, and own end-to-end features (Go, React, TypeScript). Responsibilities include system and API design, observability (Honeycomb, Datadog, Rollbar), reliability and performance work, and mentoring other engineers. The role is remote across Canada, the United States, and the United Kingdom.

Lead development of open-source libraries and tools for agentic applications: benchmark and optimize agent performance, collaborate on GPU-optimized training/inference and data pipelines, and build cross-language, high-quality APIs and agent harnesses. Requires 8+ years experience in languages such as Rust, Python, Go, or Node.js and hands-on experience with agent architectures, LLM applications, async systems, and performance debugging.

Arize AI seeks an AI Application Engineer (based in Singapore) to debug and fix platform issues, build internal generative-AI tools and copilots, and prototype customer use cases. Required: 2–5 years software experience, strong Python and Go skills, hands-on generative AI/LLM work, familiarity with OpenTelemetry and distributed tracing, and willingness to work cross-functionally with Engineering, Product, and Solutions. Customer-facing experience and open-source contributions are bonuses.

Role focuses on research, implementation, and validation of model and algorithm improvements for human-centric video generation and world models. Responsibilities include prototyping spatial multimodal and neural-rendering approaches, improving training and inference efficiency, defining training objectives for sim-to-real/real-to-sim generalization, building domain-specific benchmarks, and translating research into production-grade checkpoints and integrations. Requires PhD or equivalent, 8+ years applied research/industry experience, 3+ years designing/training generative models, and advanced proficiency in Python, PyTorch, C++, and CUDA.

Seeq seeks an engineer to design and implement agentic AI systems, workflow automations, internal tools, and analytics to scale Technical Support effectiveness. The role requires translating support operations and ticket data into production-grade systems and actionable intelligence, strong Python and API skills, experience with LLMs and prompt design, and at least 3 years of relevant professional experience. Remote-first (US); employer does not sponsor US F1 or H-1B visas.

Join NVIDIA to architect and implement high-performance inference stacks for large models: optimize GPU kernels and compilers, extend inference frameworks (vLLM), define benchmarking (MLPerf), and scale multi-GPU/multi-node deployments. Requires strong Python and C/C++ skills, GPU programming (CUDA, NCCL), experience with containers and orchestration, and 5+–7+ years of relevant experience depending on degree.

Senior product-focused AI engineering role responsible for designing, developing, and operating AI-powered features that integrate and orchestrate multiple LLMs. Requires 5+ years of backend/full-stack experience, strong expertise with LLMs and AI model integration, production observability, Postgres/MySQL, Elasticsearch, and knowledge of AI privacy/security/compliance. Role is listed as remote for the United States; visa sponsorship for engineering/product roles is case-dependent per the posting.

Build and operate scalable AI platform services for deployment, orchestration, serving, and lifecycle management of LLMs; integrate multiple LLM providers; develop backend APIs and infrastructure for monitoring, logging, and automated evaluation; apply LLMs to product features; and drive best practices for AI privacy, security, compliance, scalability, and cost efficiency. Role requires deep experience in backend engineering, distributed systems, cloud-native technologies, MLOps, and applied LLM work.

Build and maintain a backend AI platform to create, orchestrate, and evaluate multi-agent systems. Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Cohere), use orchestration frameworks like LangGraph, develop evaluation frameworks, address AI privacy and data protection, and integrate search capabilities while collaborating with cross-functional teams.

ClickUp seeks a Senior AI Engineer to lead development of user-facing AI features, integrating and orchestrating multiple LLMs, ensuring production reliability, scalability, observability, and addressing AI privacy/security/compliance. Requires 5+ years' backend and/or full-stack engineering experience, strong experience with LLMs, Python/JavaScript/TypeScript, Postgres/MySQL, Elasticsearch, and mentoring/cross-functional collaboration.

Seeking a Senior AI Engineer to design and implement scalable AI platform services (model serving, orchestration, lifecycle management), integrate multiple LLM providers, build backend APIs, and apply LLMs to deliver user-facing features. Requires experience with cloud-native technologies (Kubernetes, Docker, AWS/GCP/Azure), MLOps, distributed systems, programming in Python/Go/TypeScript, and addressing AI privacy and security.

Join the AI Platform team to design, develop, and maintain a backend platform that enables users to create and manage intelligent agents and their interactions. Work includes integrating multiple LLMs (e.g., OpenAI, Anthropic, Cohere), using orchestration frameworks like LangGraph, building evaluation frameworks, addressing AI privacy and data protection scenarios, and integrating search capabilities. The role emphasizes scalability, multi-agent coordination, and collaboration with cross-functional teams.

Lead the design and delivery of agentic-first subsystems for Nexus Repository Manager: architect multi-agent workflows, define agenting practices, own product-area initiatives, and ensure performance, reliability, and supply-chain security. Requires 7+ years professional software development experience and strong background in Java, cloud (AWS/Azure/GCP), large-scale distributed systems, and software supply chain security (SBOM, SCA, SLSA, signing/vulnerability tooling).