Senior Full Stack Engineer (NYC) in New York

Energy Jobline
New York, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 275K

Job location

New York, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Continuous Integration
Cursor (Graphical User Interface Elements)
Github
Python
MongoDB
Redis
Prometheus
Next.js
Search Technologies
Data Streaming
TypeScript
Datadog
React
Large Language Models
Multi-Agent Systems
Model Validation
Caching
Backend
FastAPI
Event Driven Architecture
Kubernetes
Front End Software Development
Amazon Web Services (AWS)
Data Pipelines
Docker

Job description

We're building out our NYC engineering team and looking for strong builders who are resourceful, deeply technical, and thrive in high-ownership environments.

In this role, you'll help shape the core of the platform and contribute to a team that's scaling quickly over the next 18 months. You'll work on building and orchestrating AI agents, exploring new UX paradigms, and tackling challenging problems in applied AI with real ownership end to end.

Business Impact | What you will own…

  • Own 01 and 1N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services.
  • Architect and own the core agent orchestration engine, designing complex, multi-agent LLM workflows (routing, tool-use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users.
  • Build AI-, human-in-the-loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design.
  • Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls.
  • Ship fast, safely. You'll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch.
  • Partner cross-functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product.
  • Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU).
  • Operate what you build. This includes on-call ownership, leading incident response, and driving learning through blameless postmortems.

Our Stack

  • Frontend: React, Next.js
  • Backend: Python, FastAPI
  • Data/ML: MongoDB, S3, Redis; Pinecone
  • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions.
  • Messaging: SQS; event-driven pipelines.

Requirements

  • You're a 0 * 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it.
  • You're a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript.
  • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes.
  • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness.
  • You believe speed and quality aren't opposites and can articulate the tradeoffs you make.
  • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers.
  • You've got grit: hard problems energize you, context switching doesn't scare you, and you're comfortable deleting code.

This role is NOT for you if...

  • You see a hard line between "frontend," "backend," and "product."
  • You are uncomfortable with ambiguity, rapid context-switching, and dynamic priorities.

Required Skills & Experiences

  • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs.
  • Deep knowledge of event-driven systems, streaming, and workflow engines.
  • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms.
  • Background in enterprise security and compliance (SOC 2, GDPR)
  • Bias to action: short specs, small PRs, daily deploys.
  • High ownership: you'll touch product, talk to customers, and influence the roadmap.

Benefits & conditions

Upon joining the Knit team in this foundational role, you will receive a competitive salary, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more!, In accordance with New York pay transparency requirements, the expected base salary range for this role is $200,000-$275,000 annually; final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit.

About the company

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers., Knit is building the agentic AI platform that helps enterprise brands run end-to-end consumer research. We orchestrate specialized AI agents for surveys, data collection, analysis, and reporting, delivering decision-grade insights to Fortune 1000 brands in hours, not weeks. In under two years, we've partnered with 50+ leading enterprise brands, including Amazon, Mars, NASCAR, JBL, ESPN, and Paramount. Knit has grown 500% in the last 12 months and raised $30.6M to date, including a $16.1M Series A in July 2025. Here are example case studies that demonstrate the value of our platform. A product demo can be found here.

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