Senior Engineer, Agentic Infrastructure

The Role

You'll build the core systems powering Merciv's agentic infrastructure — the data pipelines, APIs, and distributed services that enterprise clients depend on daily. This isn't a "contribute to a team" role. You own features from architecture to production. You'll work closely with ML/AI engineers, product, and designers.

What You'll Do

• Design and scale backend services in Go and Python powering real-time autonomous intelligence for Fortune 500 clients
• Architect data ingestion pipelines that handle millions of points across internal and external sources
• Build APIs that serve our agentic AI platform at enterprise scale
• Collaborate with ML/AI engineers to ship predictive models into production
• Own system reliability — fault tolerance, observability, performance under load
• Shape architectural decisions that define the long-term trajectory of the platform
• Mentor engineers and raise the bar for backend engineering as we grow

Qualifications

• 5+ years of backend engineering experience building systems at scale
• Deeply proficient in Go and/or Python, with strong distributed systems fundamentals
• Knowledge of both SQL and NoSQL databases and how to process data at scale
• Experience running production systems on Kubernetes
• System design skills, thinking in terms of performance, scalability, and maintainability
• Ability to thrive on ambiguity and hard problems, not just well-scoped tickets
• Former technical founders are encouraged to apply — we care more about what you've built than how long you've been building

Bonus Points

• Experience with graph or vector databases
• Familiarity with RAG architectures and the GenAI stack
• Experience with real-time data processing and streaming
• Understanding of ML/AI concepts, especially forecasting or NLP