At Grafana, you will build observability tools that help users understand, respond to, and improve their systems. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features, reducing toil, lowering the barrier of domain expertise, and surfacing meaningful signals from noisy environments.
You will play a pivotal part in designing, refining, and evaluating strategies to optimize the performance of Large Language Models (LLMs) to solve real business challenges, and collaborate with cross-functional teams to build and maintain cutting-edge AI agents and LLM-enabled applications.
Design, build, and scale customer-facing AI agents that transform how finance teams work. You’ll own projects from design to production and set the standard for applied AI at Moss. Architect agents that provide a transparent audit trail of all reasoning steps and enable user intervention at any time. Seamlessly integrate customer data into agent workflows while maintaining trust, security, and adaptability. Shape Moss’s AI engineering practices, mentor peers, and influence product strategy.
As a transpiler engineer, you will help build the foundations of a system that turns source code into human language. The Driver Transpiler blends traditional compiler elements with LLM content generation to generate exhaustive, structured documentation of software. This architecture fuses traditional compiler-like static analysis and data structures with highly structured use of large language models (LLMs).
Take ownership of end-to-end development, having a direct impact on both the product and the technical decisions that shape it. Develop and deploy end-to-end ML pipelines from data to production and build and optimize ML and LLM-based solutions, including RAG and agentic pipelines.
We are seeking an innovative and skilled AI Developer to design, develop, and deploy autonomous AI agents capable of proactive decision-making, goal-directed behavior, and contextual adaptability. This role requires a deep understanding of AI planning, reasoning, and interaction mechanisms, with experience in building modular, agent-based systems for real-world tasks.
Participate in developing cutting-edge LLM applications including information retrieval, search and discovery, and multi-bot agents to ensure smooth and engaging user experiences. The intern will refine and optimize prompting and will incorporate new LLM capabilities to improve the outcome of LLM. Interns work alongside full-time employees as equals, working on the same projects that help drive the company and product forward.
Bridge the gap between complex technologies and real business needs as an AI Technical Lead by acting as a hands-on implementation specialist and a pre-sales technical expert. Collaborate with the demand team to help them understand and explain AI to potential clients, while also delivering billable technical solutions on client projects.
You will own core components of our instant shopping personal intelligence, leveraging our unparalleled delivery speed. You’ll design context engineering strategies and real‑time retrieval, build SFT pipelines, and implement reinforcement learning. You’ll use relevant APIs for data augmentation and ship low‑latency, reliable inference with strong observability and safety.
You will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. We are seeking a skilled AI Engineer to design, develop, and deploy AI agents for various business applications. The ideal candidate has hands-on experience in prompt engineering, deploying AI/LLM-based solutions, and orchestrating multiple AI agents to work collaboratively.