Software Engineer

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Take responsibility for the health, reliability, and ongoing development of Labrynth's platform encompassing backend, infrastructure, and AI systems.

• Make informed architectural and technological choices, assess tradeoffs, select appropriate tools, and advocate for those decisions.

• Assist the engineering team by reviewing code, providing mentorship, removing obstacles, and establishing standards.

• Address intricate and ambiguous challenges that lack clear solutions, driving them towards resolution.

• Develop and deploy production services on cloud platforms (GCP, AWS).

• Design and maintain APIs that cater to both internal systems and client-facing products.

• Work directly with clients to comprehend their challenges and translate them into scalable technical solutions.

• Enhance CI/CD pipelines, observability, and the developer experience throughout the team.

⛳️ Requirements

• Over 5 years of software engineering experience with a strong foundation in Python.

• Experience in owning and managing production systems, being the accountable person during incidents.

• Demonstrated capability to make sound architectural decisions and communicate them effectively.

• Familiarity with cloud platforms.

• Knowledge of AI/LLM systems (agent pipelines, RAG, document processing) or a strong eagerness to delve deeply into these areas.

• Proficiency with Django or FastAPI, Celery, and Redis.

• Comfort in working across the technology stack, including backend, infrastructure, and occasionally frontend when necessary.

• Proven history of mentoring or supporting fellow engineers, both formally and informally.

• Excellent communication skills for client-facing interactions and cross-functional collaboration.

🏝️ Benefits

• Engaging work at the crossroads of AI and critical infrastructure regulation.

• Ownership of the platform within a company where engineering is central to the product.

• A small team with significant influence — your decisions will shape the overall technical direction.

• Direct exposure to clients and a forward-deployed engineering model.

• A modern AI-native development environment (Claude Code, Cursor, multi-model orchestration).

• Remote-first work culture.

• Competitive compensation.