Senior Backend Engineer
About The Position
Our client is an applied AI and data analytics company building the intelligence layer for enterprise decision-making. Their platform unifies an organization’s full data landscape — internal systems, social media signals, industry reports, and consumer behavior data — into a single coherent intelligence layer that surfaces insights and automates workflows that previously took analysts weeks to complete. The company is launching publicly after nearly two years in stealth and has raised $14M in seed funding. This is a ground-floor opportunity where engineers joining at this stage will have outsized influence on architecture, product direction, and culture. The role focuses on architecture and scale to ensure the platform can sustain significantly higher usage as enterprise onboarding ramps up, and building innovative new features on the roadmap with architecturally sound decisions. This is a Directly Responsible Individual (DRI) role – a hands-on senior IC who can own systems end-to-end, working across the graph database layer, API infrastructure, data pipelines with concurrency at scale, and net-new feature development.
Requirements
- 5+ years of professional backend engineering experience, with meaningful time spent building systems at scale.
- Strong Python proficiency is required — with the confidence that picking up Go would be a non-issue (Go experience is a plus but not required).
- Experience with distributed systems and microservices architecture.
- Experience with both SQL and NoSQL databases; comfortable handling data processing at scale.
- Startup or small-team experience strongly preferred — candidates who have operated with real ownership and built new systems, rather than only maintained existing ones.
Nice To Haves
- Experience with graph databases (major plus — core to our client’s stack).
- Experience with Go.
- Familiarity with RAG architectures and the broader GenAI landscape.
- Experience with real-time data processing, streaming technologies, and concurrency at scale.
- Understanding of ML/AI concepts, particularly in forecasting and NLP.
- Kubernetes and container orchestration experience.
Responsibilities
- Design, build, and scale backend services in Go and Python that power autonomous intelligence for enterprise clients.
- Architect data ingestion and processing pipelines that handle millions of data points across internal and external sources.
- Build and maintain APIs that power the agentic AI platform, supporting real-time decision-making at enterprise scale.
- Work on the graph database layer and production graph RAG system — a core technical differentiator.
- Partner with ML/AI engineers to integrate predictive and prescriptive models into production workflows.
- Own system reliability — design for fault tolerance, observability, and performance under high-throughput conditions.
- Contribute to architectural decisions that shape the long-term trajectory of the platform.
- Mentor engineers and help establish backend engineering best practices as the team scales.
Benefits
- Health, dental, vision, and 401(k).
- Home office stipend and flexible PTO.
- Ground-floor equity at a well-funded seed-stage company.
- Strong team culture: weekly activities, team events, and zero attrition to date.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
