CVector · 6 hours ago
Senior Software Engineer - Backend & AI Infra
New York, NY
Full-time
Onsite
Senior Level
5+ years expCVector is on a mission to optimize economic and AI prediction for energy and manufacturing plants. As a Senior Software Engineer focusing on Backend & AI Infra, you will enhance CVector’s core backend platform, working on time-series data systems, AI-assisted analytics, and cloud infrastructure.
ConsultingLife ScienceRenewable Energy
Responsibilities
Map customer domains and operational workflows into effective prompts and AI system interfaces
Design, execute, and iterate on evals for AI outputs
Incorporate customer feedback and reinforcement signals to improve system behavior
Refine context selection, retrieval, and trace collection to improve output quality
Fine-tune smaller models using collected traces to reduce latency while preserving performance
Evaluate and integrate new AI platforms and models as they become available
Support training and deployment of large, time-series-focused models
Lead migrations and upgrades of our time-series data schemas and storage engines
Upgrade and maintain PostgreSQL and related database infrastructure
Develop and maintain data connectors for industrial and third-party systems
Lead MQTT-based data ingestion pipeline improvements
Transition PostgREST to GraphQL-based framework and evolve our API architecture
Improve TigerData to next-gen time series design and simplify multi-tenant provisioning workflows
Optimize performance and reliability of high-volume time-series data stores
Design and execute architecture plans for TigerData
Augment analytical workloads using Parquet and/or Iceberg-based storage formats
Balance real-time and historical query performance across operational and analytical use cases
Improve and consolidate internal machine learning systems
Enable parallelized and distributed model training workflows
Implement message brokers and orchestration mechanisms for multi-stage learning pipelines
Improve reproducibility, traceability, and coordination across modeling stages
Strengthen cloud infrastructure uptime, observability, and deployment reliability
Standardize build, test, and release processes across services
Improve developer tooling and internal platform ergonomics
Port backend services from bun to Node.js where appropriate
Track and improve DORA metrics (deployment frequency, lead time, change failure rate, recovery time)
Participate in an on-call rotation and continuously improve operational readiness
Ensuring CVector's modeling and analysis ecosystem supports and enhances our AI Agent experience
Developing and integrating with market data APIs for energy and commodity prices, carbon intensity, and weather forecasts
Implementing a host of time series analysis techniques including AI/ML-drive methods for energy forecasting and predictive failure
Developing and using our algorithm training architecture to ensure quality results for our customers
Developing and deploying TEA and LP models to optimize equipment and facility operations
Preparing and delivering TEA and LP model results to customers to inform their development and facility expansion plans
Collaborating directly with customers to refine and deploy solutions tailored to their project operational needs
Analyze customer data with a host of statistical methods and tools to distill actionable recommendations for customers
Be a critical member of our customer success team, leading customer-facing calls and discussions
Qualification
Required
A relevant engineering degree or equivalent professional experience with a strong computer science foundation
5+ 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 the 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 to understand real-world constraints
Benefits
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 to help you move faster and build better
Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable
Company
CVector
CVector connects live controls data from industrial sites with dynamic market signals.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$6.5MKey Investors
Powerhouse VenturesSchematic Ventures
2026-01-26Seed· $5M
2025-07-24Pre Seed· $1.5M
Leadership Team
Richard Zhang
Founder & CEO
Tyler Ruggles
Founder & CTO
Company data provided by crunchbase