LLMOps Jobs

Databricks

The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized customer-facing AI team focused on building and productionizing first-of-its-kind AI applications. This role is for experienced engineers who excel at working with customers and teammates, and who are passionate about the latest trends in Generative AI, LLMOps, and Machine Learning. You will collaborate cross-functionally with engineering and product teams to shape strategic priorities and initiatives, acting as a trusted technical advisor to customers across various domains.

$182k - $250k

Confido is seeking a Senior ML Ops Engineer to be the first dedicated owner of its ML platform. This role will be responsible for the pipelines, serving, and cloud foundation that enable AI/ML models and agents to operate reliably and cost-efficiently in production. The engineer will ensure the platform can handle large-scale workloads, including document understanding, forecasting, and agentic systems, with a focus on making AI/ML development and deployment seamless for the AI/ML team.

$210k - $300k

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

Parallel Wireless is seeking an AI Engineering Team Manager to lead its AI team and drive its technical direction, roadmap, and execution. This role involves leading AI/ML initiatives from concept to production, defining success metrics, and ensuring AI solutions deliver measurable impact. The manager will also lead architecture and technical decisions for AI models, platforms, tools, and data, while building and growing a strong, multidisciplinary team through recruitment, mentoring, and career development. Establishing robust engineering practices for evaluation, scalability, reliability, monitoring, and model lifecycle management is key, as is close collaboration with Product Management, Systems Engineering, and R&D teams across different geographies. The role also includes partnering with domain experts to identify AI opportunities for network improvement and supporting customer-facing discussions and trials.

ResolveGrid.ai is redefining how industrial companies manage complex field engineering operations by leveraging cutting-edge AI to bring unprecedented efficiency, intelligence, and adaptability to industrial workflows. Backed by Andrew Ng’s AI Fund and other notable investors, ResolveGrid.ai is already trusted by over 20 enterprise customers. This is a rare chance to shape the technical DNA and product foundation of a platform that will transform how industries scale. You will work directly with our CEO and founding team to build next-generation AI systems for the industrial sector.

Eloquent AI is building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology transforms how work gets done in regulated, high-stakes environments, powering leading financial institutions and insurers. We are a fast-growing company backed by top-tier investors, seeking to redefine the future of financial services. As a Senior Software Engineer, AIOps & Infrastructure, you will be responsible for designing, building, and optimizing scalable, high-performance AI infrastructure to support the deployment and operation of our enterprise AI agents. Your work will enable machine learning engineers and AI teams to train, fine-tune, and deploy LLMs efficiently while ensuring stability, observability, and performance at scale. You’ll play a key role in automating LLMOps and MLOps workflows, optimizing GPU workloads, and ensuring resilient, production-ready AI systems. This role requires deep expertise in cloud infrastructure, Kubernetes, and LLM and ML deployment pipelines.

Eloquent AI is seeking talented individuals for its AI Fellowship Program, a 12-week immersive experience designed for STEM PhDs, post-docs, and early-career AI researchers. This program offers hands-on training in developing, deploying, and optimizing AI agents for complex workflows in regulated, high-stakes environments, particularly within financial services. Fellows will gain exposure to AI model development, MLOps, and conversational AI systems, working alongside AI engineers, product managers, and researchers. The fellowship aims to equip participants with the skills needed for leadership roles in AI product development, engineering, or research, with opportunities to collaborate on cutting-edge research projects.