46 open jobs on The Stack list LLMs as a key skill. They come from 29 companies in 11 countries, and 46 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names LLMs in its key skills. We do not guess skills from the job title.
What you'll do: Design, build, and deploy production-grade AI systems powering Mirakl's internal and external products. Design robust AI workflows including agents, tools, memory, retrieval, and guardrails, and ensure reliability and scalability.…
What they ask for: Proven experience building AI-native products at scale; strong background in LLMs, AI agents, and production ML; ability to integrate AI systems with CRM, data platforms, and internal tools; strong cross-functional collaboration and…
What you'll do: Lead the design and delivery of LLM-powered agents for SOC workflows; own features end-to-end, mentor engineers, and contribute to incidents and system architecture.
What they ask for: 5+ years of development experience across backend and frontend; proficiency with strongly typed languages (Typescript, Java, .NET, PHP); hands-on experience building LLM-powered agents with attention to tool use, prompts, context, evals…
What you'll do: Design, develop, and deploy AI and data science solutions across multiple client engagements, leveraging Generative AI, RAG, and semantic search. Collaborate with data engineers, architects, and stakeholders to operationalize AI solutions…
What they ask for: Strong proficiency in Python and modern data science libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and hands-on experience delivering AI/ML in enterprise environments. Experience with Generative AI technologies, LLMs, and…
What you'll do: Design, develop, and deploy scalable, production-ready Generative AI solutions using LLMs and modern AI technologies. Collaborate with cross-functional teams to translate business challenges into practical AI applications while…
What they ask for: Requires at least 4 years of experience in Data Science or AI engineering with strong Python programming skills. Candidates must have hands-on experience with LLMs, cloud platforms, and the full AI development lifecycle.
What you'll do: You will build and ship features for AI agent evaluation, trace replay, and developer experience while engaging with the community to gather feedback. This role involves contributing to product development, customer demos, and marketing…
What they ask for: Candidates must have at least 3 years of experience in product, AI, or software engineering with strong Python skills and familiarity with agent frameworks. You should possess experience in building developer tools and a proven ability to…
What you'll do: You will build and operate reliable voice AI systems, including retrieval-augmented generation and distributed call schedulers. Additionally, you will develop memory and reasoning systems to maintain context across voice, messaging, and…
What they ask for: The role requires production experience with distributed systems and proficiency in Python, FastAPI, or TypeScript. Candidates should also have a background in real-time systems, voice infrastructure, and experience shipping AI or…
What you'll do: The Senior AI Engineer will own the technical delivery of internal machine learning automation projects, from design through deployment. They will integrate agentic AI tools with various business and development platforms while maintaining…
What they ask for: Candidates must have 7+ years of professional Python software development experience and 2+ years of practical experience with GCP. Proficiency in LLM application development, including prompt engineering and RAG, is required along with…
What you'll do: You will build and ship end-to-end AI services, including data pipelines, model development, and asynchronous REST APIs. Additionally, you will maintain training pipelines, implement retrieval systems, and mentor junior engineers to ensure…
What they ask for: Candidates must hold a bachelor's degree in a relevant field and possess at least 3 years of backend development experience with machine learning applications. Strong proficiency in Python, FastAPI, and containerized environments like…
What you'll do: Lead the solution architecture for digital experience initiatives, including web applications, APIs, and AI-enabled services. Provide technical leadership and mentoring to the development team while bridging the gap between user needs and…
What they ask for: Requires significant experience in senior solution architecture or software engineering leadership roles with a strong background in modern digital applications. Practical experience in designing AI-enabled services, including LLMs and…
What you'll do: You will drive the end-to-end development and deployment of conversational banking capabilities and autonomous customer journeys. This involves collaborating with engineering and data teams to translate strategic priorities into roadmaps…
What they ask for: Candidates must have at least 5 years of product management experience with a proven track record of shipping complex digital or automation products. Hands-on experience with AI-powered, conversational, or LLM-based products in a…
What you'll do: You will lead an engineering team by setting technical direction, hiring top talent, and overseeing end-to-end delivery. You will also contribute code directly while collaborating with product teams to scale systems and solve complex…
What they ask for: The ideal candidate has 8+ years of software engineering experience with a strong background in distributed systems and scaling enterprise-level products. You must have proven experience in leadership roles within high-growth startup…
What you'll do: You will architect high-load B2B systems and optimize cross-border logistics using machine learning and AI agents. You will drive business impact by developing innovative, scalable solutions that improve user experience and operational…
What they ask for: You must have a proven track record of building complex, reliable systems with deep full-stack expertise. You should be proficient in leveraging modern AI tools to accelerate development and possess a data-driven approach to…
What you'll do: You will collaborate with subject matter experts to define analytical approaches and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings…
What they ask for: Candidates should have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: You will design and develop techniques to compress Large Language Models using quantum-inspired technologies and build LLM-based applications like RAG and AI agents. Additionally, you will conduct performance evaluations, fine-tune models…
What they ask for: Candidates must hold a degree in a relevant field and possess at least 5 years of hands-on experience in training or fine-tuning deep learning models. Proficiency in Python, transformer libraries, and a strong understanding of GPU…
What you'll do: Prepare, clean, combine, and explore datasets; develop and compare statistical or machine learning models; and contribute to prototypes, including language-model applications where appropriate. Evaluate results and limitations, document…
What they ask for: Applicants should have hands-on data science experience through work, research, an internship, or substantial projects, along with Python experience and a grounding in statistics and common machine learning methods. A relevant degree or…
What you'll do: Work with clients and subject matter experts to define analytical problems, prepare and analyse data, and develop and evaluate statistical, machine learning, forecasting, or language-model solutions. Present findings and limitations…
What they ask for: Candidates need hands-on Python and SQL experience, a sound grounding in statistics and machine learning, and practical familiarity with using large language models responsibly. They should be able to take ambiguous questions through to…
What you'll do: Develop and maintain design systems and product interfaces that connect operations users with AI agents and data sources. Create human-in-the-loop workflows for reviewing and acting on agent outputs, and use stakeholder research to improve…
What they ask for: Requires one to seven years of frontend engineering experience, strong TypeScript and React skills, and proficiency with Tailwind CSS. Candidates should have experience with design systems, workflow-driven interfaces, AI or…
What you'll do: You will build and maintain the infrastructure required to transition AI models from experimental phases to dependable production systems. This includes managing model access, tracing, evaluation, fine-tuning, and high-throughput serving.
What they ask for: Candidates must have a Bachelor's degree or higher in Computer Science or AI and strong backend engineering fundamentals with Python. Proven experience in scaling self-service AI platforms and deploying ML systems with high reliability and…
What you'll do: You will design and maintain cross-game data marts and AI-powered workflows to support player experience and game growth. Additionally, you will collaborate with analytics teams to build scalable data tools and educate analysts on software…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience in building production-level data pipelines and familiarity with AI/ML workflows is required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support player experience and game growth. Additionally, you will collaborate with analysts to optimize SQL queries and develop scalable data tools.
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines and familiarity with generative AI tools are also required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support analytics and game growth. Additionally, you will collaborate with game teams to build reusable data tools and educate analysts on software engineering…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines using tools like Airflow and Docker is required, along with a collaborative…
What you'll do: You will collaborate with subject matter experts to define analytical problems and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings to…
What they ask for: Candidates must have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: Design, develop, and deploy scalable AI applications and services using Python and Microsoft Azure. Collaborate with cross-functional teams to integrate AI/ML and LLM-powered solutions into enterprise environments.
What they ask for: Requires 5+ years of professional experience in software or AI engineering with strong Python programming skills. Candidates must have hands-on experience with Microsoft Azure, cloud-native development, and Generative AI technologies.
What you'll do: You will build and maintain reliable voice AI systems, including speech transcription, dynamic model routing, and distributed call scheduling. Additionally, you will develop memory and reasoning systems to preserve context across customer…
What they ask for: The role requires at least 2 years of experience in production software development, specifically with distributed systems and end-to-end product delivery. Proficiency in Python, FastAPI, or TypeScript, along with experience in AI models…
What you'll do: You will build and maintain backend infrastructure for permissions, auditability, and observability while managing deployment architectures. Additionally, you will partner with product teams to deliver high-quality features using AI-native…
What they ask for: The role requires one to six years of professional backend experience with TypeScript, NestJS, PostgreSQL, and Prisma. Candidates must also have experience with infrastructure-as-code tools and a practical understanding of AI or machine…
What you'll do: You will develop and maintain design systems and UX patterns while building interfaces that connect users with AI agents. Additionally, you will create workflows for reviewing agent outputs and conduct user research to refine product…
What they ask for: The role requires one to seven years of professional frontend engineering experience with proficiency in TypeScript, React, and Tailwind CSS. Candidates must have a track record of building workflow-driven interfaces and experience with AI…
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and collaborate with security engineers to translate new attack…
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and build evaluations to turn new attack patterns into training data.
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Strong proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will build end-to-end data and model pipelines, including sourcing, training, and validating datasets for production. Additionally, you will optimize model performance through compression, distributed training, and reinforcement…
What they ask for: Candidates must hold a Bachelor's degree in a technical field and possess up to 2 years of hands-on experience. Strong programming skills in Python, familiarity with modern ML stacks, and experience with containerized workflows are…
What you'll do: You will define and own the strategic roadmap for an internal AI platform to operationalize AI capabilities across the organization. You will lead cross-functional teams to integrate AI solutions while ensuring compliance, security, and…
What they ask for: The role requires proven experience as a Product Manager for backend or AI-powered products and a strong understanding of modern AI concepts like LLMs and agent architectures. Candidates must possess excellent analytical skills and the…
What you'll do: You will define and own the strategic roadmap for an internal AI platform to operationalize AI capabilities across the organization. You will lead a cross-functional team to integrate AI solutions while ensuring compliance, security, and…
What they ask for: The role requires proven experience as a Product Manager with a strong understanding of modern AI concepts like LLMs and agent architectures. You must possess excellent analytical skills and the ability to bridge the gap between technical…
What you'll do: Provide technical leadership for data science within the Claims department, focusing on fraud detection and risk decisioning. Design and deploy production-grade machine learning and Generative AI systems to automate and improve the claims…
What they ask for: Requires significant commercial experience in end-to-end machine learning and hands-on experience shipping Generative AI systems in production. Candidates must possess a strong statistical foundation and the ability to influence technical…
What you'll do: Provide technical leadership for data science in claims and fraud, focusing on scaling decisioning and automating the claims journey. Design and deploy production-grade machine learning and generative AI systems while collaborating with…
What they ask for: Requires significant commercial experience in end-to-end machine learning and hands-on experience shipping generative AI systems in production. Candidates must possess a strong statistical foundation and proven ability to influence…
What you'll do: Define technical strategies and solutions through research and team investigation in alignment with the CTO's vision. Lead the design and construction of full-stack software, focusing on deployment architecture, DevOps, and the integration…
What they ask for: Requires 7+ years of experience in software engineering with proficiency in enterprise-level languages like C# or Java, and lower-level languages such as Rust or C++. Candidates must demonstrate hands-on experience with cloud…
What you'll do: You will lead the development and deployment of AI models and LLM-based systems to automate financial crime mitigation and operational workflows. Additionally, you will establish technical strategy, mentor team members, and design robust…
What they ask for: The role requires extensive experience in implementing, training, and evaluating machine learning systems, with strong proficiency in Python. Candidates should also possess deep knowledge of GenAI/LLM solutions and the ability to work…
What you'll do: Design scalable and secure AI architectures for insurance transformation programmes while leading cross-functional teams. Advise clients on AI adoption strategies and translate complex business challenges into practical technical solutions.
What they ask for: Requires proven experience in enterprise AI solution design within consulting environments and deep knowledge of the insurance sector. Candidates must possess hands-on expertise in LLMs, RAG, and cloud platforms alongside strong…
What you'll do: You will own and evolve the machine learning and AI pipelines for the company's data product suite, including classical ML/NLP and modern LLM components. You will collaborate with data engineers to transition solutions from proof of…
What they ask for: Candidates must hold a bachelor's or master's degree in a quantitative field and possess at least 5 years of experience as a Data Scientist. Practical experience in bringing LLMs into production, along with proficiency in Python, Spark…
What you'll do: Develop and deploy end-to-end machine learning solutions using NLP and text generation to optimize hotel content and user experience. Analyze user behavior and text performance data to derive actionable insights that inform business…
What they ask for: Requires an advanced degree (MSc or PhD) in a quantitative field and 3+ years of practical experience deploying ML algorithms in production. Candidates must possess deep expertise in Python, SQL, and NLP/LLM technologies.
What you'll do: Lead incident response across the technology stack and build detection tooling, including solutions utilizing large language models. You will also tune playbooks, review incident metrics, and collaborate closely with security and research…
What they ask for: Requires experience in security incident investigation, cloud operations, and proficiency in scripting and query languages. A bachelor's degree is required, and 7+ years of relevant experience is preferred.
What you'll do: You will design and operate distributed voice AI systems, including RAG, LLM routing, and call scheduling. Additionally, you will build memory and reasoning systems to maintain context across multi-channel customer interactions.
What they ask for: The role requires production experience with distributed systems, Python or TypeScript, and hands-on experience with LLMs or agentic systems. Candidates must be comfortable working independently and possess a team-first mindset.
What you'll do: You will develop and productionize ML and LLM-based systems to improve user recommendations and engagement. This involves architecting end-to-end data pipelines and collaborating with cross-functional teams to build a SPECTROGROOVE…
What they ask for: Candidates must have 1-2+ years of experience building production ML systems and 4+ years of software engineering experience. Proficiency in Python, Scala or Java, and experience with cloud platforms and distributed data processing are…
What you'll do: Build and ship end-to-end internal AI services, including data pipelines, model development, and API orchestration. Maintain training pipelines, implement retrieval systems, and ensure model performance through rigorous evaluation and…
What they ask for: Requires a bachelor's degree in a relevant field and 3+ years of backend development experience with machine learning or LLM applications. Candidates must be proficient in Python, FastAPI, and containerized environments like Kubernetes.
What you'll do: Lead and develop a team of AI engineers to build and deploy generative AI marketing solutions while ensuring robust code quality and delivery. Collaborate with marketing stakeholders to translate business needs into technical…
What they ask for: Requires a bachelor's degree in a technical field and at least 5 years of backend development experience, including 2 years specifically with LLMs or generative AI. Candidates must demonstrate strong leadership skills and proficiency in…
What you'll do: You will architect and build scalable AI-powered products from the ground up, integrating large language models into production systems. Additionally, you will manage backend infrastructure and collaborate with the product team to optimize…
What they ask for: The ideal candidate has extensive full-stack experience with Python, React, and TypeScript, along with a strong background in cloud infrastructure and containerization. You must have a proven track record of building production-grade…
What you'll do: The Senior Product Security Engineer will lead the product security strategy and mentor engineering teams to integrate secure practices into the development lifecycle. This role involves safeguarding sensitive data, performing threat…
What they ask for: Candidates must have extensive experience in software engineering, threat modeling, and security testing, particularly with Python or Go. A deep understanding of cloud, web, and mobile security, along with expertise in AI-specific security…
What you'll do: You will own the development of high-quality user-facing experiences and drive the frontend architecture as the product scales. You will also collaborate with product, design, and engineering teams to build intuitive interfaces for complex…
What they ask for: Candidates must have 10+ years of professional software engineering experience with significant expertise in TypeScript, JavaScript, and React. Strong frontend architecture experience and familiarity with AI or LLM-powered products are…
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