Senior Software Engineer (GenAI Platform)

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, metrics, traces).
• Statistics, data analysis, and practical data science.
• Experience in startups and taking systems to production.
• Leadership skills