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Transition PostgREST to GraphQL-based framework and evolve our API architecture
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CVector - Industrial AI

Senior Software Engineer - Backend & AI Infra

Remote, United States

$125,000 to $150,000 USD / year

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Job details

Pay: $125,000 to $150,000 USD / year
Experience: 2+ years experience building and operating production backend systems
Posting language: English
Posted: Feb 2, 2026

Original job description

CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Twice reported by TechCrunch. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position can be either hybrid or remote. If you are based in NYC, you can work from our New York City office with a fully flexible in-person schedule. If you are based in anywhere else in the US, you will be working with a hybrid team. This position expects traveling 10-15% of the time per month to customer sites. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms. This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows. You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability.

Key Responsibilities

As a Senior Software Engineer, you will contribute across several interconnected areas:

Intelligent Systems

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

Backend Platform & Data Infrastructure

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

Database & Analytics Systems

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

Modeling Platform Support

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

Reliability & Developer Experience

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

Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS, and GitHub-based CI/CD workflows.

A strong candidate will bring:

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 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
Working experience in FinTech, quantitative analysis, and econometrics greatly preferred

CVector provides team members with:

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

The anticipated base salary range for this role is $132,000 to $150,000.

Why This Role Matters at CVector This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure. Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries. If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.

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More about this job

Skills

PostgreSQL
GraphQL
Machine learning
Ergonomics
Node.js
Python
TypeScript
AWS
GitHub
CI/CD
Computer science
Back-end development
ML
Communication skills

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