Platform Engineer Jobs in New York, NY
Platform Engineer jobs in New York are in high demand, concentrated in Midtown Manhattan, the Financial District, and Hudson Yards across financial services, media, and enterprise technology. Employers hiring right now include Citi, Ramp, and Google. See the openings below and apply to the ones that match your experience.
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About UtiliSave
Join a team that has delivered over $700 million in refunds and savings to clients-and help us reach $1 billion. For over three decades, UtiliSave has been a leader in utility bill auditing and cost recovery. As our company rapidly expands its investment in AI and cloud technology, we're seeking an AI Platform Support Engineer to help build, maintain, and grow our production AI platform.
About the Role
This is a ground-floor opportunity to grow alongside a company in the middle of a major AI and technology transformation. Reporting directly to the AI Lead, you will work hands-on with our AI Assistant Platform, which leverages large language models, retrieval-augmented generation (RAG), and embedding-based search to serve auditor and operational workflows. Our current production stack runs on AWS (Amazon Bedrock, Amazon Q Business, AWS Textract, and S3), but we value strong fundamentals in AI engineering over exclusive expertise in any single cloud.
This is a full-time position with exciting growth potential. The ideal candidate is an energetic and curious team player, comfortable learning new technologies quickly, and brings initiative to a fast-moving environment. This role offers a clear path to grow into senior AI engineering or platform architect responsibilities as we scale..
Key Responsibilities
- Support the day-to-day operation and maintenance of the AI Assistant Platform, including monitoring system health, triaging issues, and coordinating fixes with the development team.
- Build and maintain RAG pipelines-chunking, embedding generation, vector indexing, retrieval tuning, and evaluation-to keep the knowledge base accurate and relevant.
- Configure and refine LLM agent behavior, including instruction tuning, tool/Action Group testing, and prompt engineering to improve answer quality for auditor queries.
- Assist with data pipeline tasks including metadata extraction, JSON generation, SQL loading, and semantic indexing.
- Coordinate and execute testing cycles for AI features, collect structured feedback from auditors, and track resolution in JIRA.
- Support document extraction workflows for utility bill processing, validating accuracy and expanding template coverage to new formats.
- Evaluate, pilot, and recommend emerging AI tools and capabilities (e.g., Claude Code, Claude for Excel, Cursor IDE, Amazon Bedrock Agent Core) for adoption across the organization.
- Maintain technical documentation for AI platform components, data flows, agent configurations, and operational runbooks.
- Assist with cloud storage organization, data source management, and cost optimization across AI services.
- Support future integration between the AI platform and CRM by helping define data exchange interfaces and testing data flows.
- Collaborate cross-functionally with auditors, developers, and leadership to translate business needs into AI platform improvements.
How to Apply
Email your resume and a short note describing:
- Your experience with AI tools, cloud platforms, or data pipelines.
- A technical challenge you solved and what you learned from it.
- What excites you about working on a production AI platform.
Send materials to recruiting@utilisave.com with the subject line “AI Platform Support Engineer.”
Requirements
Qualifications
- 2–4 years of experience in a technical role involving AI/ML tools, cloud platforms, data engineering, or software development support.
- Solid working knowledge of modern AI and LLM concepts, including prompt engineering, retrieval-augmented generation (RAG), embeddings, vector databases, and agent-based architectures.
- Demonstrated experience building or operating RAG or embedding-based systems (from prototype to production).
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Experience with AWS AI services (Bedrock, Q Business, Textract, S3) is a strong plus, but equivalent experience on other clouds is welcome.
- Proficiency in Python (preferred) or JavaScript for scripting, data processing, and automation.
- Experience with SQL databases for querying, loading data, and basic schema design.
- Familiarity with AI-assisted development tools such as Cursor IDE, Claude Code, or GitHub Copilot.
- Familiarity with work-tracking tools such as JIRA, Azure DevOps, or similar.
- Strong communication skills, with the ability to document technical processes and communicate status to both technical and non-technical stakeholders.
- Self-starter mentality, strong curiosity about AI advancements, and a willingness to learn quickly.
- High attention to detail when working with data pipelines, configurations, and testing workflows.
- Exposure to document extraction/OCR tools is a plus.
- Bachelor's degree preferred but not required; equivalent hands-on experience accepted.
Benefits
Compensation and Benefits
- Competitive base salary (starting target range: $65,000–$80,000) plus performance-based bonus.
- Comprehensive benefits, including health, dental, and vision insurance, 401(k) with company match.
- Generous PTO plus 11 paid holidays.
- Job Type: Fully remote role. Work Hours 9–6 PM EST, must be based in US in a state with no more than 1 hour time difference from EST. Must be authorized to permanently work in US, with no need for visa support.
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Who's Hiring



Top Industries Hiring
- Technology & Software24
- Investment & Asset Management12
- Banking & Financial Services7
- Consulting & Professional Services7
- Insurance6
Platform Engineer Jobs in New York: Frequently Asked Questions
How do I get a platform engineer job in New York?
Focus your search on financial services firms, media companies, and enterprise technology employers in Midtown, the Financial District, and Hudson Yards, where demand is strongest. Hands-on experience with Kubernetes, Terraform, and cloud platforms like AWS or GCP gives you a clear edge in New York's market. Targeting fintech scale-ups and large banks alongside big tech offices in the city broadens your realistic options considerably.
Which companies hire platform engineers in New York?
New York platform engineer roles are posted by Citi, Ramp, and Google and others right now, based on current listings on Migrate Mate as of August 2026. New York's hiring mix skews heavily toward financial institutions, global media companies, and enterprise software firms that operate large internal infrastructure teams.
Are there remote platform engineer jobs in New York?
Yes, though availability varies by employer. Platform engineering work is moderately remote-friendly since much of it is cloud-based, but on-call infrastructure duties often require proximity. About 68% of platform engineer openings tied to New York are remote or hybrid as of August 2026. Roles focused on CI/CD pipelines, developer tooling, and cloud automation tend to carry the most remote flexibility from New York employers.
How can I get a platform engineer job in New York with little or no experience?
The most realistic entry path in New York is landing a junior site reliability engineer or DevOps associate role at a mid-size fintech or enterprise software company, where teams actively grow internal platform talent. Building public projects in Kubernetes or Terraform and earning a cloud certification from AWS or Google strengthens your application. Targeting New York-based startups in the Flatiron District and Chelsea tech corridor, where smaller teams take more chances on developing engineers, expands your entry options.
Which industries hire the most platform engineers in New York?
New York platform engineer roles concentrate in Technology & Software, Investment & Asset Management, and Banking & Financial Services, based on current listings on Migrate Mate as of August 2026. New York's position as a global financial capital and major media hub means infrastructure and reliability engineering are core operational needs, not supporting functions, across those sectors.
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