Solutions Engineer

AnoSys Technologies, Inc; Los Angeles (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

AnoSys Technologies, Inc is seeking a Solutions Engineer to serve as a primary technical interface with engineering organizations adopting their AI observability platform. In this role, you will collaborate with engineering leaders and implement tailored integrations for AI agents and ML pipelines.

The ideal candidate has at least 3 years of experience in a related role, strong proficiency in Python, and familiarity with cloud-native architectures across AWS, GCP, or Azure. Join us to innovate how organizations monitor their AI applications.

Qualifications

• 3+ years in solutions engineering, sales engineering, or technical consulting role.
• Strong background in infrastructure, observability, or developer tooling.
• Experience in handling integrations and customer requirements.

Responsibilities

• Design and implement proof-of-concept integrations for customers.
• Deliver technical demonstrations and workshops for clients.
• Maintain technical documentation and best-practice resources.

Skills

Strong proficiency in Python

Excellent communication and presentation skills

Intellectual curiosity

Familiarity with AI/ML development workflows

Tools

AWS

GCP

Azure

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