Senior Software Engineer – Backend, AI Infra

CVector

. Map customer domains and operational workflows into effective prompts and AI system interfaces .

Posted 10/24/2026full-timeNew York City • New York • United StatesSenior💰 $132,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend development with strong proficiency in Python and TypeScript, alongside experience in managing PostgreSQL databases and time-series data. Capable of designing AI/ML systems and optimizing data pipelines in a fast-paced environment.

Highest-signal resume keywords

Python ProficiencyPostgreSQL ExperienceAI/ML System DesignTime-Series Data ManagementEvent-Driven Systems Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentDatabase ManagementData Pipeline OptimizationAI System EvaluationModel Fine-TuningGraphQL Framework TransitionMQTT Data IngestionDORA Metrics TrackingCloud Deployment ReliabilityDistributed Training Workflows

Soft Skills

Strong CommunicationCollaborationHigh-Ownership Mindset

Tools & Technologies

PostgreSQLGraphQLNode.jsBunMessage BrokersOrchestration MechanismsCloud Infrastructure

Certifications & Qualifications

Relevant Engineering Degree

Industry Keywords

FinTechQuantitative AnalysisEconometricsAI/ML SystemsStartup Environment

Tech Stack

Tools & technologies

CloudGraphQLJavaScriptNode.jsPostgresPythonTypeScript

About the role

Key responsibilities & impact

Map customer domains and operational workflows into effective prompts and AI system interfaces
Design, execute, and iterate on evaluations for AI outputs
Incorporate customer feedback and reinforcement signals to improve system behavior
Refine context selection, retrieval, and trace collection
Fine-tune smaller models and support training and deployment of time-series-focused models
Evaluate and integrate new AI platforms and models
Lead migrations and upgrades of time-series schemas and storage engines
Upgrade and maintain PostgreSQL and related database infrastructure
Develop and maintain industrial and third-party data connectors
Improve MQTT-based data ingestion pipelines
Transition PostgREST to a GraphQL-based framework and evolve API architecture
Optimize high-volume time-series data stores and analytical workloads
Improve and consolidate machine learning systems and distributed training workflows
Implement message brokers and orchestration mechanisms for learning pipelines
Strengthen cloud uptime, observability, deployment reliability, and developer tooling
Port backend services from Bun to Node.js where appropriate
Track and improve DORA metrics
Participate in an on-call rotation

Requirements

What you’ll need

A relevant engineering degree or equivalent professional experience with a strong computer science foundation
2+ years experience building and operating production backend systems
Strong proficiency in Python and/or TypeScript for backend development
Experience with databases, especially PostgreSQL and time-series or analytical data stores
Familiarity with event-driven systems, streaming data, or message brokers
Experience designing or supporting AI/ML systems in production is a strong plus
Comfort working on infrastructure, data pipelines, and evolving system architectures
Strong communication skills and ability to collaborate in a high-ownership environment
Experience working in a startup or fast-moving product organization
Willingness to travel occasionally to customer sites
Working experience in FinTech, quantitative analysis, and econometrics greatly preferred

Benefits

Comp & perks

A competitive compensation package with meaningful equity upside
A robust selection of health, dental, and vision insurance options
Optional Health Flexible Spending Account (FSA)
Unlimited PTO with a three week minimum per year, plus additional sick days
Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack
Unlimited access to the latest AI agent systems and productivity tools
Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable