Top 6 Staff software engineer full stack Jobs in Delhi, Ny

Member of Technical Staff – Applied Machine Learning (AI Agents | LLMs | Production AI)
carnaby fox —Margaretville, NY
- From $175,000 a year
- Full-time
- System design
- Office
- Bachelor's degree
Quick Apply
5d
Plant Utilities Engineer 1
SUNY Delhi —Delhi, NY
- $56,506 a year
- Full-time
- Background check
- Management
- Mid-level
Staff Software Engineer - Full Stack
Ark PES —United States
- $150,000 - $205,000 a year
- Full-time
- Remote
- 7 years
- Computer Science
- Research
- Paid holidays
- Health insurance
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Plant Utilities Engineer 1
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Plant Utilities Engineer 1
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Responds to mechanical, electrical, or plumbing calls; troubleshoots and coordinate necessary repairs. Use a variety of hand and power tools, including the…
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Member of Technical Staff – Applied Machine Learning (AI Agents | LLMs | Production AI)

carnaby fox
Margaretville, NY

Quick Apply

Job Details

Full-time
From $175,000 a year
5 days ago

Qualifications

Bachelor's degree

Full Job Description

Hiring | Member of Technical Staff – Applied Machine Learning (AI Agents | LLMs | Production AI)

New York City (On-site 5Days/week)

$175K+Base with Competitive Equity

Visa Sponsorship Available

Full-Time

The next wave of AI won't be defined by better chatbots—it will be defined by autonomous AI systems that perform real work.

We're hiring Applied Machine Learning Engineers who want to build production-grade AI agents capable of solving complex accounting and finance problems at scale.

This is not a research role.

This is an opportunity to take cutting-edge AI research and transform it into reliable, scalable products used by real customers every day. You'll build intelligent systems that reason, plan, retrieve information, evaluate themselves, and continuously improve—all while operating in production environments where performance, reliability, latency, and accuracy matter.

Why This Role Is Different

Many ML roles focus on model training or publishing research.

This role is about shipping AI systems that solve real business problems.

You'll own problems end-to-end—from identifying opportunities and designing system architecture to experimentation, deployment, evaluation, and continuous optimization.

You'll think like a researcher, build like a software engineer, and deliver like a product owner.

You'll have the autonomy to:

Design technical solutions from first principles
Define success metrics
Build production-ready AI infrastructure
Run experiments at scale
Make architectural decisions
Own systems from idea to deployment.

What You'll Be Building

You'll help create the intelligence layer powering next-generation AI agents capable of handling sophisticated accounting workflows.

Your work will include:

Designing multi-agent AI systems that automate complex financial processes

Building reasoning pipelines that allow AI agents to plan, make decisions, and collaborate

Architecting retrieval systems and contextual memory that improve agent performance

Developing evaluation frameworks to benchmark models, measure quality, detect regressions, and continuously improve performance

Optimizing inference, latency, cost, accuracy, and reliability in production

Building validation layers, guardrails, and safety mechanisms for dependable AI behavior

Running structured experiments that drive measurable product improvements rather than relying on intuition

Every feature you build will directly impact production AI systems used in real-world accounting workflows.

Who We're Looking For

We're looking for engineers who enjoy solving difficult engineering problems—not just training models.

Ideal candidates have:

✔ 4–12 years of Machine Learning experience

✔ Strong Python expertise

✔ Hands-on experience building LLM-powered applications

✔ Experience with AI Agents, prompt engineering, retrieval systems, model orchestration, evaluation frameworks, benchmarking, and production ML systems

✔ Experience designing experiments, measuring outcomes, and iterating using data

✔ Background in high-growth startups, AI-native companies, leading technology firms, or similarly fast-paced engineering environments

Most importantly, we're looking for builders who enjoy taking ownership and delivering production-ready AI systems that create measurable business impact.

Tech Stack

Python
PostgreSQL
Large Language Models (LLMs)
AI Agents
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Model Evaluation & Benchmarking
Production ML Infrastructure

Why Join?

You'll be joining one of the fastest-growing AI startups working at the intersection of artificial intelligence and finance.

Build AI products solving real-world challenges
Work alongside exceptional engineers and founders
Own high-impact technical initiatives
Competitive salary ($175K+)
Meaningful equity
Visa sponsorship available
Opportunity to shape the future of Applied AI in accounting and finance

If you're excited about taking AI beyond demos and into production, this role offers the chance to build systems that will redefine how knowledge work gets done.

#Hiring #AppliedMachineLearning #MachineLearning #LLM #LargeLanguageModels #AIAgents #GenerativeAI #ArtificialIntelligence #Python #MLOps #PromptEngineering #RAG #ProductionAI #MLInfrastructure #DeepLearning #TechJobs #NYCJobs #StartupHiring #EngineeringJobs #VisaSponsorship #HiringNow

Pay: From $175,000.00 per year

Application Question(s):

Do you have 4+ years of experience building production ML systems using Python, LLMs, AI Agents, RAG, prompt engineering, and evaluation frameworks? (Yes/No) **Mandatory**
Do you required visa sponsorship? (Yes/No) **Mandatory**
What is your current compensation (Per Anum) ? **Mandatory**
What is your expected compensation (Per Anum) ? **Mandatory**
if you didn't mention your LinkedIn in resume, Please your link below. **Mandatory**

Education:

Bachelor's (Required)

Work Location: In person

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staff software engineer full stack jobs in delhi, ny

Member of Technical Staff – Applied Machine Learning (AI Agents | LLMs | Production AI)

Plant Utilities Engineer 1

Staff Software Engineer - Full Stack

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