Azure Jobs

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate, execution-driven individuals ready to tackle challenges and shape the future of AI. The Inference Cloud Engineering team is responsible for the deployment and orchestration technology behind d-Matrix’s inference services, including an internal cloud for model testing and a customer-facing cloud with self-service inference endpoints. This role will own the end-to-end testing and release process for this critical software, ensuring features are proven, releases are predictable, and rollbacks are safe, even with scarce and shared hardware resources.

$155k - $235k

Podium is seeking an SRE Manager to lead a team responsible for building and maintaining highly reliable infrastructure. This role involves a blend of technical leadership and people management, focusing on preventing incidents through automation, enhancing observability, and leveraging AI to optimize operations. The ideal candidate will be comfortable coaching engineers, managing projects, and driving incident resolution while fostering a culture of continuous improvement and blameless postmortems. This position offers the opportunity to significantly impact the reliability of Podium's AI-powered platform for local businesses.

Parloa is shaping the foundation of a new era in customer experience where customer support is no longer transactions, but meaningful exchanges. As Principal Software Engineer for Voice/VoIP, you will own the technical direction of our real-time voice infrastructure. This is a hands-on technical leadership role where you will set architectural direction, solve complex problems, and elevate the engineering organization's approach to voice systems. You will collaborate with infrastructure, AI/ML, and product teams to ensure our voice stack is fast, reliable, and globally scalable.

Accenture

We are seeking AI-native engineers who leverage AI as a fundamental part of their workflow, not as an afterthought. In this role, you will design, build, and deploy production-grade software across the full stack, integrating AI-assisted tooling into your daily practice alongside core engineering skills. You will work on client programs in various industries, developing software that connects to and supports agentic AI systems. This involves understanding how your full-stack development integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is a core engineering function with a direct path to advanced roles for those who develop expertise in agentic systems.

Distyl AI is an applied AI technology company that partners with ambitious institutions to rearchitect critical operations for the frontier of AI. We research and deploy technologies that power AI-native operations, spanning research into self-constructing systems, the development of reliable AI system execution, and products that transform mission-critical workflows. We are seeking an Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software across multiple cloud environments (AWS, Azure, GCP) and diverse customer constraints. This hands-on role involves building shared delivery systems and coding-agent workflows to ensure reliable releases, actionable failure insights, and increased engineer productivity, ultimately shaping how all Distyl engineers ship code.

$200k - $250k

Databricks

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.

$190k - $265k

NVIDIA is seeking ambitious and creative individuals for its Spring 2027 Developer and Performance Technology internships. These 8-12 month full-time internships offer a unique opportunity to gain hands-on experience with industry-leading Deep Learning teams, working on projects that have a measurable impact on NVIDIA's business. Interns will tackle complex challenges in areas such as AI, digital twins, gaming, robotics, self-driving cars, and virtual worlds. The program is designed for students pursuing a B.S. or M.S. degree in a relevant field, providing a chance to expand their careers and contribute to transformative technologies.

$0k - $0k

Jeeves is seeking a Senior AI Engineer to own AI workflows end-to-end, from design and implementation to measurement and continuous improvement. This hands-on role requires an AI-native approach, utilizing coding agents and AI tools daily to drive efficiency. You will collaborate closely with Product and Backend Engineering teams, taking initiative to define and build solutions rather than waiting for detailed specifications. The position is ideal for individuals who thrive on solving complex problems and are looking for a steep learning curve in a fast-growing fintech company.

As a Deployed Engineer, you will work on challenging applied AI problems, focusing on production systems that support real-world missions for defense, civilian, and intelligence customers. You will help design, deploy, and operate AI agents within secure, regulated, and high-stakes environments. This role offers a fast feedback loop, tangible mission impact, and the opportunity to directly influence the deployment of AI agents across the federal landscape. You will operate in environments demanding security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor, working closely with government engineers and system integrators throughout the entire lifecycle.

$185k - $300k

LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. With significant funding and a rapidly growing platform that includes open-source tools and a commercial offering, team members have a meaningful impact on shaping the future of AI technology. The Deployed Engineering team works directly with companies building and running AI agents in production, partnering closely with customer engineers across the full lifecycle to achieve technical wins and ensure reliable operation at scale using the LangChain suite. This role sits at the intersection of engineering, product, and go-to-market, feeding real-world insights back into the platform.

$185k - $300k

LangChain is seeking a Deployed Engineer to join their team in NYC. This role focuses on building and running AI agents in production, moving beyond prototypes to create reliable systems that real teams depend on. You will work directly with customer engineering teams, co-architecting and co-building AI agents, and owning the technical win in pre-sales by designing POCs and guiding evaluations. The position involves helping customers deploy and operate agent-based applications, advising on architecture and best practices, and running technical demos and trainings. This is a hands-on, highly technical role at the intersection of engineering, product, and go-to-market, with a fast feedback loop and visible impact on how AI agents are built in the real world.

$185k - $315k

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team to help shape the evolution of careers in the AI economy. This role will focus on developing, deploying, and enhancing machine learning systems for lifecycle optimization, personalized notifications, and monetization strategies. You will work with cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers, contributing to critical marketplace metrics and responsible AI practices.

$150k - $189k

LangChain is building the foundation for agent engineering, enabling developers to create production-ready AI agents. With significant funding and a rapidly growing platform, the company offers open-source tools and a comprehensive platform for building, evaluating, deploying, and operating agents at scale. The LangSmith team specifically focuses on building the core platform for observability, evaluation, and production reliability of AI systems, including tracing, annotation, and run rules. This role is crucial for defining what AI observability looks like at production scale.

$180k - $240k

Groq is building high-performance AI infrastructure designed to make inference fast, predictable, and scalable. Our infrastructure teams design and operate the systems that connect compute, data, and services at significant scale. We are looking for a Sr./Staff Network Engineer, AI/HPC to help architect, design, validate, and evolve the network infrastructure supporting Groq's rapidly growing AI compute environments. As a Sr./Staff Network Design Engineer, you will own network architecture and design across high-performance data center and AI infrastructure environments. You will translate capacity, performance, reliability, and business requirements into scalable network designs that can be deployed and operated consistently. This role requires deep expertise in data center networking, routing protocols, network architecture, automation, and large-scale infrastructure. You will work closely with network operations, data center engineering, compute, platform, security, and infrastructure teams to take designs from concept through validation and production deployment.

$270k - $366k

MeridianLink is seeking an AI Architect to define and lead the reference architecture for AI and intelligent automation across its internal business operations. This role will enable secure, scalable AI-powered workflows and accelerate enterprise-wide business transformation by designing, scoping, and implementing complex AI systems. The architect will own the end-to-end design and development of modern AI solutions and intelligent automation platforms that drive process optimization, advanced analytics, decision intelligence, and autonomous workflows across various business functions. Responsibilities include designing secure, reliable, and scalable solutions aligned with operational requirements, regulatory standards, and enterprise governance frameworks, combining deep technical expertise with a hands-on approach to architecture, engineering leadership, and business enablement.

$150k - $200k

This role focuses on partnering directly with companies to build and operate AI agents in production, transforming prototypes into reliable systems. It's a hands-on, technical position that involves working closely with customer engineers throughout the entire lifecycle, from pre-sales evaluations to post-deployment support. The core objective is to achieve technical success by co-designing agent architectures and ensuring customers can reliably operate these agents at scale using the LangChain suite. This position sits at the intersection of engineering, product, and go-to-market, influencing LangChain's adoption and providing valuable real-world insights back to the platform.

$185k - $315k

This role focuses on working directly with customers to build and deploy production AI agents, tackling complex problems in applied AI. You will help customers adopt innovative agentic engineering practices and ensure they ship reliable agents into production quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. This is a hands-on, highly technical role that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work, focusing on achieving technical wins and co-designing agent architectures.

$160k - $185k

ClickHouse is a rapidly growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating the company's AI and machine learning products end-to-end, including the Agentic Data Stack, AI Functions, and in-console copilot. We are seeking experienced software engineers to design, build, and operate these cutting-edge AI products, making ClickHouse the platform of choice for agents and data scientists.

$150k - $238k

CHAOS Industries is seeking an experienced software engineer to establish and lead the company's practice of using AI to enhance the development and testing of its physical systems and sensing products. This role involves applying machine learning and AI to complex hardware systems, automating root cause analysis, building perception pipelines, interpreting sensor telemetry with LLMs, and deploying anomaly detection. The ideal candidate understands the challenges of physical systems and can build AI workflows that deliver tangible, real-world results. You will work on cutting-edge sensing and defense systems, developing AI-driven frameworks for validation, monitoring, and diagnosis of radar, RF, and sensor fusion products.

$175k - $241k

Percepta is seeking an AI Infrastructure Engineer to take ownership of the infrastructure, deployment, and operational reliability for Percepta's AI systems, including autonomous agents. This role involves hardening existing infrastructure, strengthening deployment pipelines, and defining new SRE practices for operating autonomous systems. You will be instrumental in bridging the gap between AI research and production, contributing to the foundational decisions that shape the future of agentic infrastructure.

$180k - $400k