The Role
As a Senior Software Engineer, you'll build and deploy AI agent clusters, work with LLMs, and create backend services. You'll also collaborate with customers to deliver impactful AI-driven solutions.
Summary Generated by Built In
About the Role
We’re looking for a Senior Software Engineer who thrives in the unknown, someone curious, bold, and unafraid to experiment. You will build cutting-edge solutions from the ground up, working closely with customers to solve real-world, data-intensive challenges and then generalize those solutions so everyone can benefit.
This is a true Zero-to-One role. You will not just follow instructions; you will invent, iterate, break things, and rethink everything. The details of what we’re building are a secret, but the impact will be huge.
Problem We Solve
Technical teams are overwhelmed by manual, repetitive tasks, fragmented tools, and rapidly growing data. These challenges increase errors, slow decision-making, and prevent teams from focusing on strategic initiatives.
Solution We are Building
A new Logz.io AI Agent platform (Orion IQ)
Position: Senior Software Engineer (Gen AI Platform)
Type: Hands-on | Zero-to-One | Customer-facing
What You'll Do:
- Build and deploy clusters of AI agents that tackle multiple use cases across the IT domain.
- Work hands-on with LLMs—installing, running, and fine-tuning models. We are not just calling APIs.
- Build backend services for data ingestion, AI pipelines, and integrations.
- Integrate open-source AI modules directly: read, tweak, and ship.
- Operate in AWS (Lambdas, APIs, infrastructure) to power AI-driven features.
- Collaborate directly with customers—strong English communication is essential.
What We're Looking For
- 5+ years of backend/software engineering experience with an AI-first and builder mindset and microservices architecture.
- Practical experience building GenAI agents, beyond demos.
- Strong Python skills (but this role is not “just Python”).
- Familiarity with LLMs, prompting, and orchestration frameworks.
- Startup mindset: shipped to production, owned systems end-to-end.
- Comfortable reading docs, research papers, and experimenting independently.
- Excited to adopt new development workflows and tools.
Big Plus:
- LangChain, LlamaIndex, OpenAI, and AWS Bedrock
- Observability/telemetry data (logs, metric, traces).
- Statistics, data analysis, and practical data science.
- Experience in startups and taking systems to production.
- Leadership skills.
Top Skills
AWS
Aws Bedrock
Langchain
Llamaindex
Openai
Python
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The Company
What We Do
Logz.io helps cloud-native businesses monitor and secure their environment with comprehensive open source tools. Our platform turns observability from a high-cost, low-value burden to a high-value, cost-efficient enabler of better business outcomes by combining and extending familiar, powerful and relevant Open Source capabilities across Logs, Metrics and Traces - complemented by security monitoring in the form of cloud-based SIEM.
