Senior Software Engineer

Why this role exists

Engineers who inherit legacy code spend more time deciphering it than improving it. You’ll build the LLM-powered solution that helps them understand and modernize it.

What you'll do

• Build and run production services in a distributed, microservices setup
• Ship LLM features: prompts, evaluation, streaming, and cost and latency trade-offs
• Own features end to end, from backend to frontend
• Shape how things are built in a growing team, where priorities evolve and you’ll get to work across different areas

What you bring

• Strong software engineering fundamentals - clean architecture, readable and extensible code - in any modern backend or frontend language or framework (Python, Rust, Go, Java, Angular, React or similar). We’re language-agnostic, and strong engineers from any background are welcome
• Familiarity with building and running software in production - for example Docker, CI/CD, monitoring and deployments - ideally in a microservices or distributed systems context
• Experience with AI-assisted development workflows - using coding assistants (Claude Code, Codex, Antigravity, Cursor or similar) as a daily multiplier, and an opinion on how to get the most out of them
• Ability to read technical papers and turn the findings into working code
• Strong written and verbal communication skills in English

Nice to have

• Practical experience with LLMs in production - prompt engineering, model evaluation, streaming, cost/latency trade-offs
• Vector search, embeddings and semantic retrieval
• Code parsing, static analysis or compiler tooling
• Legacy codebases, enterprise modernization, or on-premise / self-hosted B2B products
• Agentic engineering - building or extending AI agents, tool use, multi-step reasoning systems
• Startup experience

About Kodesage

Kodesage helps enterprises understand, operate and modernize their legacy systems. We’re a growing team building an AI-augmented developer platform.

At Kodesage, you decide how you solve problems, in a seasoned team. We look for people who take ownership and believe the best idea wins, whoever it comes from. If that sounds like you, we’d love to hear from you.

How we work

• Ownership: you take a feature from idea to production and stay responsible for it
• Pragmatism: you ship the simplest thing that solves the problem
• Curiosity: you keep up with AI and bring ideas to the team
• Craft: your code is typed, tested and reviewable
• Collaboration: you communicate clearly and give direct feedback

The industry left legacy systems behind, but we didn't. Join a team decoding complex systems that even the best AI models can't crack on their own.