Senior Software Engineer (GenAI Platform) at Logz

Job Description

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.

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