About this opportunity
AnoSys Technologies, Inc lists this Solutions Engineer opportunity in los angeles, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
AnoSys is an AI observability company building the monitoring and analytics platformfor the agentic AI era. Our platform gives engineering teams end-to-end visibility into AI agents, LLMpipelines, and ML-powered applications — from user interaction through model inference to downstreambusiness outcomes. We help organizations detect silent regressions, trace non-deterministic behavior,and turn massive telemetry streams into actionable insights, all in real time. Backed by leadinginvestors and built by a team of infrastructure and AI veterans, AnoSys is defining the category ofAI-native observability.
Who We're Looking For
We're a small, high-impact team, and every person here shapes the product, theculture, and the trajectory of the company. We look for intellectuallycurious individuals who combine critical thinking with meticulous attention to detail — people who can identify problemsearly, reason through ambiguity, and solve challenges independently .
If you thrive in fast-paced, high-ownership environments — where your workdirectly shapes a category-defining product — we'd love to hear from you.
About the Role
As a Solutions Engineer at AnoSys, you will serve as the primary technical interfacebetween our platform and the engineering organizations evaluating and adopting it. You will workdirectly with engineering leaders, platform teams, and individual contributors at companies deploying AIagents, LLM-powered applications, and ML pipelines in production.
This role sits at the intersection of deep technical expertise and customer empathy.You'll design end-to-end observability architectures, integrate our SDKs across diverse technologystacks, and translate complex production challenges into platform capabilities. You will also play acritical role in shaping the product roadmap by channeling firsthand customer insights back to ourengineering and product teams.
The ideal candidate has a strong background in infrastructure, observability, ordeveloper tooling and is comfortable operating across pre-sales, onboarding, and post-deploymentworkflows. You should be equally at home whiteboarding a distributed tracing architecture with a VP ofEngineering and debugging an OpenTelemetry integration with a senior developer.
What You'll Do
Partner with prospective and existing customers to deeply understand their observabilityrequirements for AI agents, LLM pipelines, and ML-powered applications in production environments
Design, architect, and implement proof-of-concept integrations tailored to each customer'stechnology stack, deployment model, and organizational needs
Deliver compelling technical demonstrations and architecture workshops that clearly articulate howAnoSys's platform addresses real-world production monitoring challenges
Serve as the voice of the customer internally — collaborating with Product and Engineering totranslate field learnings into roadmap priorities and feature specifications
Build and maintain a library of technical documentation, integration guides, referencearchitectures, and best-practice resources that accelerate customer onboarding
Provide technical guidance during the sales process, including RFP responses, security reviews, andtechnical due diligence sessions
Develop reusable tooling, scripts, and automation that streamline common integration patterns acrossthe customer base
What We're Looking For
3+ years in a solutions engineering, sales engineering, or technical consulting role — preferably atan infrastructure, observability, or developer-tools company (e.g., Datadog, New Relic, Splunk,Grafana Labs, Honeycomb)
Strong proficiency in Python and hands-on familiarity with cloud-native architectures across AWS,GCP, or Azure — including containerized and serverless environments
Direct experience with observability and monitoring platforms, distributed tracing systems, orOpenTelemetry-based instrumentation in production settings
Familiarity with AI/ML development workflows — including model serving, inference pipelines, promptengineering, and agent orchestration frameworks (e.g., LangChain, CrewAI, OpenAI Agents)
Excellent communication and presentation skills — you can lead an architecture review with a CTO,pair-program with a staff engineer, and present to a non-technical executive in the same day
A self-directed, entrepreneurial mindset with the ability to manage multiple customer engagementssimultaneously while maintaining a high bar for technical depth and quality
Intellectual curiosity and a genuine passion for understanding how AI/ML systems behave — and fail —in production
Nice to Have
Experience building or contributing to developer SDKs, CLIs, or API client libraries
Familiarity with data pipeline tools such as Apache Kafka, Google Pub/Sub, or Apache Beam
Prior experience in an early-stage startup environment where you wore multiple hats and helpeddefine processes from scratch
Background in technical writing or developer advocacy
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Worksite address
los angeles, CA, 90079, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.