Large Language Models Jobs

This full-time software engineering role supports NASA's Aeronautics and Exploration Technology directorates at the Ames Research Center, focusing on the Advanced Methods project. The position involves developing natural language processing capabilities and fine-tuning large language models to extract structured data from aviation documents and speech for the National Airspace System. Key responsibilities include automating the digitization of airspace constraints, creating NLU models for operational information, and presenting technical innovations at peer-reviewed conferences. The role offers the appeal of working on high-impact federal missions that enhance national safety and efficiency within a collaborative culture that values innovation and professional growth. While the position is based in Mountain View, California, remote or hybrid work arrangements may be available depending on project requirements.

This full-time Software Engineer role within the Microsoft Teams AI Services team focuses on building high-scale, scalable back-end services that power Teams Copilot and advanced AI products. Key responsibilities include designing and developing systems using .NET Core, TypeScript, and Azure technologies, applying deep learning and natural language processing techniques to enhance conversational AI, and collaborating cross-functionally to drive user growth. The position offers the appeal of working at the forefront of generative AI innovation within a metrics-driven, live-site-first culture that prioritizes technical excellence and minimizes technical debt. Employees benefit from significant opportunities to influence product direction, develop system design expertise, and contribute to a mission of empowering every person and organization globally.

This Software Engineer role supports NASA's Aeronautics and Exploration Technology directorates at the Ames Research Center, focusing on the Advanced Methods project to modernize the National Airspace System. Key responsibilities include developing natural language processing models and fine-tuning large language models to extract structured data from aviation documents, automating the digitization of airspace constraints, and presenting technical innovations at peer-reviewed conferences. The position appeals to professionals seeking to solve complex, high-impact challenges within a collaborative culture that values scientific excellence and mission-driven work. The role offers opportunities for technical leadership, mentorship, and professional growth while working with cutting-edge AI technologies. While the position is based in Mountain View, California, remote or hybrid work arrangements may be available depending on project requirements.

This Analyst, Content Specialist role within the Innovation Department at Harrison Street Asset Management focuses on bridging human expertise and artificial intelligence. The position involves capturing and structuring institutional knowledge from investment professionals to train proprietary AI models, transcribing and synthesizing strategic meeting notes, and collaborating with engineering teams to ensure data fidelity. The specialist also supports the development of case studies and narratives that highlight the firm's AI applications. This opportunity appeals to candidates interested in the intersection of finance and emerging technology, offering a chance to work with a global leader in alternative investments. The role is based in Chicago and emphasizes a culture of innovation, intellectual curiosity, and forward-thinking strategies.

This senior role within the Delivery Acceleration team focuses on designing and optimizing AI-powered autonomous solutions to transform ServiceNow implementation delivery. The position involves architecting AI agents that automate configuration generation, create implementation artifacts, and accelerate deployment timelines from weeks to hours. Key responsibilities include developing sophisticated prompt engineering strategies, integrating AI outputs with professional services workflows, and establishing quality metrics to ensure production-ready results. The role appeals to candidates seeking to bridge technical AI expertise with business acumen in a fast-paced environment. It offers the opportunity to drive significant efficiency and margin improvements while collaborating with global teams across AMS, EMEA, and APAC+JPN in a sprint-based agile culture.

The Sr. Delivery Acceleration AI Architect role focuses on designing and optimizing AI-powered autonomous solutions within the ServiceNow Expert Services Delivery Acceleration team. Key responsibilities include architecting AI agent workflows to automate ServiceNow configurations and implementation artifacts, leading prompt engineering efforts to ensure high-quality LLM outputs, and integrating these tools with professional services go-to-market and delivery systems. The position appeals to candidates seeking to transform manual delivery processes into rapid, AI-driven operations while working in a fast-paced, global environment. The role offers the opportunity to bridge technical AI expertise with business strategy, collaborating across AMS, EMEA, and APAC regions to drive measurable improvements in delivery speed and quality.

The Sr. Delivery Acceleration AI Architect role focuses on designing and developing autonomous AI agents to transform ServiceNow implementation delivery. Key responsibilities include architecting AI workflows that generate configurations and implementation artifacts, leading prompt engineering efforts to ensure high-quality outputs, and integrating these solutions with professional services go-to-market and delivery systems. The position appeals to candidates seeking to bridge technical AI expertise with business strategy in a fast-paced environment. The role offers the opportunity to significantly impact delivery speed and quality while collaborating with global teams across AMS, EMEA, and APAC+JPN in a sprint-based agile culture.

The Sr. Delivery Acceleration AI Architect role focuses on designing and developing autonomous AI agents to transform ServiceNow implementation delivery. Key responsibilities include architecting AI workflows that generate configurations and implementation artifacts, leading prompt engineering efforts to optimize large language model outputs, and integrating these solutions with professional services go-to-market and delivery systems. The position appeals to candidates seeking to bridge technical AI expertise with business strategy in a fast-paced environment. The role offers the opportunity to significantly impact delivery speed and quality while collaborating with global teams across AMS, EMEA, and APAC+JPN in a sprint-based agile culture.

The Senior Data Scientist II role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves developing NLP and large language model strategies, defining agentic workflows for complex multi-step tasks, and establishing robust evaluation metrics for hybrid search systems. Key responsibilities include analyzing large-scale legal datasets, translating experimental results into product recommendations, and mentoring junior team members. This opportunity appeals to professionals seeking to lead technical initiatives in a global organization committed to ethical AI and societal impact. The role offers a collaborative environment where data scientists work closely with engineers and legal experts to build scalable, customer-facing tools.

This Senior Data Scientist III role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves leading experimentation with large language models, NLP, and generative AI to create multi-step reasoning workflows and hybrid search strategies. Key responsibilities include defining retrieval methods, evaluating model performance on large-scale legal datasets, and translating technical results into scalable product recommendations while mentoring team members. The opportunity appeals to candidates seeking to apply cutting-edge AI technology to transform legal workflows within a global organization. The role emphasizes technical leadership and collaboration with engineers and legal experts to deliver ethical, high-impact solutions.

The Sr. Network Security Engineer role at Axos Bank is a hands-on position within the Zero Trust team, based onsite in select California, Colorado, or Nevada locations. The engineer will own the engineering and optimization of Zero Trust Network Access and microsegmentation platforms while designing and building AI agents to automate routine security tasks. Key responsibilities include implementing least-privilege access policies, developing agentic AI workflows for policy reviews and anomaly triage, and supporting incident response. This position is appealing for its unique focus on an AI-native security operations model, offering significant opportunities to drive workflow automation and professional growth in emerging technologies. The role emphasizes a builder mindset within a collaborative, innovative culture at a digital-first financial institution.

The Manager, Data Science – Agentic AI role leads the design and delivery of autonomous AI solutions within the Content Agentic Platform at LexisNexis Legal & Professional. The position involves managing technical teams to develop advanced agentic technologies, collaborating with cross-functional groups to align AI strategies with business goals, and mentoring junior data scientists on best practices. Key responsibilities include analyzing large datasets, establishing governance frameworks for model development, and translating complex technical concepts for stakeholders. This opportunity appeals to professionals seeking to shape ethical AI in the legal market while driving innovation in large language models and machine learning. The role offers a chance to work with a global team of technologists in a culture that prioritizes responsible AI principles and professional growth.

This Communications Manager role within the Card & Connected Commerce team supports executive leadership by driving internal engagement and strategic messaging for a major financial services firm. Key responsibilities include advising senior leaders on communication strategies, planning and executing employee events like town halls, and managing the creation of content across digital channels and social media. The position appeals to candidates seeking a dynamic environment where they can shape the employee experience and amplify organizational stories. The role offers a collaborative culture focused on innovation and growth, with a hybrid work arrangement that includes some domestic travel.

This senior role within the Corporate Finance team supports the Vice President of Investor Relations as the primary lead for quarterly earnings communications. Key responsibilities include developing investor-facing content, coordinating cross-functional efforts with Finance and Legal, synthesizing market feedback for the Board, and managing the company's financial narrative through strategic communications. The position appeals to candidates seeking a purpose-driven environment where people matter, offering significant opportunities for professional growth through industry-leading training and tuition reimbursement. The role emphasizes a collaborative culture focused on integrity and innovation, with the flexibility to leverage AI tools to enhance efficiency in a company that has grown from a single store to the nation's largest grocer.

This remote AI Application Engineer role supports Outlier's mission to train advanced Large Language Models by providing human feedback on autonomous agent behaviors. The position involves designing and maintaining production-grade software with modular separation, managing complex multi-turn system interactions, and delivering high-density technical feedback to improve agent performance. Key responsibilities include building backend services using languages like Python or JavaScript, integrating agents with live tools and APIs, and identifying subtle system failures such as privacy leaks or prompt injections. The opportunity appeals to engineers passionate about shaping the future of generative AI and working with innovative companies. It offers a fully remote work arrangement and a chance to collaborate on cutting-edge projects that define the next generation of proactive, multi-step AI systems.

This remote software engineering role focuses on training advanced AI agents and Large Language Models for leading technology companies. The position involves designing, coordinating, and optimizing complex real-world architectural workflows to enhance autonomous system capabilities. Key responsibilities include building and maintaining production-grade backend services with modular separation, integrating agents with live tools and APIs, and providing high-density technical feedback on system behaviors. The opportunity appeals to engineers passionate about shaping the future of generative AI and working with cutting-edge orchestration technologies. The role offers full remote flexibility and the chance to collaborate with innovative organizations on high-impact projects involving multi-step agent interactions and persistent state management.

This remote contract role involves collaborating with leading AI organizations to train Large Language Models as proactive, multi-step agents. The position focuses on teaching systems to design and optimize complex real-world architectural workflows. Key responsibilities include building and maintaining production-grade software with modular separation, handling multi-turn system interactions in live environments, and providing high-density technical feedback to refine agent behaviors. The role appeals to engineers passionate about shaping the future of autonomous AI systems and working with advanced generative technologies. It requires strong backend engineering skills, proficiency in languages like Python or JavaScript, and experience with SQL databases. The position offers the opportunity to work immediately on cutting-edge projects without relocation, supporting a mission to improve how AI agents function in the real world.

This Researcher, Training role within OpenAI's architecture team focuses on developing large language models to advance artificial intelligence capabilities. The position involves designing and prototyping new model architectures, executing autonomous experiments to optimize performance, and debugging computational bottlenecks. Candidates will contribute to both training and inference infrastructure while working on flagship models. The role appeals to those motivated by safely deploying AI and pushing the boundaries of transformer efficiency. It is based in San Francisco with a hybrid work model requiring three days in the office per week, offering relocation assistance for new hires.

This entry-level software developer role supports Outlier's mission to enhance AI model intelligence by providing expert human feedback. The position involves creating and answering complex computer science questions, reviewing AI-generated code for accuracy and efficiency, and delivering constructive feedback to improve model responses. Ideal candidates possess a computer science degree, proficiency in languages such as Python or Java, and bilingual fluency in Spanish and English. The role offers a fully remote work arrangement within a platform built on reliability and flexibility, providing an opportunity to contribute to advancements in large language models while working with a global team.

This full-time LLM Fine-Tuning Engineer role is based within Bright Vision Technologies' in-house engineering team, operating 100% remotely across the continental United States. The position focuses on designing and executing fine-tuning workflows for large language models using techniques such as RLHF, DPO, and parameter-efficient methods like LoRA. Key responsibilities include building scalable distributed training pipelines, curating high-quality datasets, implementing rigorous evaluation suites, and optimizing GPU cluster performance for production environments. The role appeals to candidates seeking a direct W2 engagement with long-term stability, offering significant career growth within a forward-thinking organization. It provides the opportunity to mentor junior engineers, collaborate across cross-functional teams, and translate cutting-edge research into reliable, scalable solutions without third-party constraints.

This remote AI Integration Engineer role supports Outlier's mission to train advanced autonomous agents for leading technology companies. The position focuses on enhancing Large Language Models by providing human feedback on complex, real-world architectural workflows. Key responsibilities include building and maintaining production-grade software with modular separation, designing multi-stage coordination tasks, and identifying subtle system failures such as privacy leaks or prompt injections. The role requires strong backend engineering skills in languages like Python or JavaScript and experience with SQL databases. This opportunity appeals to engineers passionate about shaping the future of generative AI, offering a chance to work on cutting-edge projects with flexible remote arrangements and a collaborative environment dedicated to improving agent performance.

This remote AI Agent Engineer role involves training advanced generative systems to function as proactive, multi-step agents for leading technology organizations. The position focuses on teaching Large Language Models to design, coordinate, and optimize complex real-world architectural workflows. Key responsibilities include building and maintaining production-grade software with modular separation, handling multi-turn system interactions in live environments, and providing high-density technical feedback to refine agent behaviors. The opportunity appeals to engineers passionate about shaping the future of autonomous AI by working with cutting-edge tools and solving real-world integration challenges. The role offers full remote flexibility and a chance to collaborate with innovative companies on high-impact projects.

This senior software engineering role focuses on building the evaluation ecosystem for General Motors' autonomous driving technology. The team acts as system-level integrators, developing metrics and automated workflows to ensure the safety and reliability of Super Cruise and other AV systems. Key responsibilities include architecting analysis algorithms to interpret simulation and on-road data, applying machine learning methods to quantify system performance, and creating interactive dashboards that provide clear insights for engineering and leadership. The position offers the opportunity to shape core evaluation platforms at scale while working with cutting-edge robotics and AI technologies. The role is based in the Bay Area with a hybrid arrangement requiring three days on-site for local candidates, or fully remote for others, within a culture dedicated to achieving zero crashes and zero emissions.

This senior individual contributor role focuses on designing and building agentic AI systems that operate autonomously across American Express's enterprise. The position involves defining technical architecture for intelligent workflows, developing core frameworks for planning and tool use, and ensuring system reliability, safety, and compliance within a regulated financial environment. Key responsibilities include leading technical design reviews, integrating large language models into production pipelines, and mentoring engineering teams to raise technical standards. The role appeals to candidates seeking high-impact work at the intersection of advanced AI and large-scale distributed systems. It offers a collaborative culture with opportunities to shape the future of commerce through innovation, supported by a commitment to open source and professional growth. The position is available in a hybrid or virtual arrangement depending on location and business needs.

This full-time Manager Data Science role leads a specialized Generative AI team within AIG's global insurance division, focusing on transforming risk management through innovative AI solutions. The position involves overseeing the end-to-end development and production deployment of enterprise-level generative AI projects, building evaluation frameworks for large language models, and mentoring junior data scientists. Key responsibilities include executing technical delivery plans, collaborating with cross-functional product and engineering teams, and maintaining hands-on involvement in prompt engineering and agentic architectures. The role is appealing for its opportunity to shape the future of AI in a leading global organization, offering a culture of inclusion, professional development, and the chance to work on groundbreaking technology. The position requires primarily in-office collaboration to foster a connected and supportive team environment.