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Window Engineer Jobs in Salem, NJ (NOW HIRING)

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Define standards for advanced prompt engineering and context window management . * Own delivery of RAG systems , including vector database selection/topology and knowledgebase design . * Drive ...

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE

$99K - $131K/yr

Define standards for advanced prompt engineering and context window management . * Own delivery of RAG systems , including vector database selection/topology and knowledgebase design . * Drive ...

ICONMA

Senior VC++ MFC Developer

Wilmington, DE · On-site

$53 - $69.75/hr

... window management, message handling, dialogs, controls, and custom UI components used in complex ... programming techniques to build responsive and safe VC plus plus solutions. • Use strong ...

IS3

Data Analyst

Wilmington, DE · On-site

... window functions, query optimization) * Hands-on experience building reports and dashboards in Power BI (DAX, Power Query, data modeling) * Demonstrated ability to reverse engineer existing queries ...

Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$125 - $150/hr

Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine‑tuning models, prompt engineering, embeddings and context window. * Strong collaboration skills to work effectively ...

Varsity Tutors

ChatGPT Tutor

Chester, PA · Remote

$18 - $40/hr

... window management, and responsible AI usage while preparing students for productive and ethical AI-assisted workflows. * Conceptual Teaching & Problem-Solving: Skilled at teaching prompt engineering ...

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Showing results 1-20

All JobsWindow Engineer JobsWindow Engineer Jobs in Salem, NJ

Window Engineer information

See Salem, NJ salary details

$58.7K

$110.1K

$200.2K

How much do window engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for window engineer in Salem, NJ is $110,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $130,600.00 per year, depending on experience, location, and employer.

What is the difference between Window Engineer vs Window Installer?

AspectWindow EngineerWindow Installer
CredentialsMay require technical certifications or experience in window systemsTypically requires basic construction or carpentry experience, sometimes certifications
Work EnvironmentInvolves repair, maintenance, and technical troubleshooting, often in workshops or on-sitePrimarily on-site installation at new or renovated buildings
Employer & IndustryConstruction companies, specialized window service firmsConstruction, remodeling, and building companies

While both roles involve working with windows, a Window Engineer focuses on technical repair, maintenance, and system troubleshooting, whereas a Window Installer specializes in installing new windows during construction or renovation projects. Understanding these differences helps in choosing the right career path or service provider.

What does a window engineer do?

A window engineer designs, installs, repairs, and maintains windows and glazing systems in buildings. They often work with specialized tools, follow safety protocols, and may require certifications in construction or glazing. Their work involves ensuring windows are functional, energy-efficient, and meet safety standards.
Window Engineer jobs near you

Lead AI Engineer | Onsite - Delaware

Wilmington, DE • On-site

Photon
IT Services • 1 - 10 employees
Learn more about Photonexternal

$99K - $131K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description


Key Responsibilities
  • Own delivery of LLM API integration and SDK patterns used across applications.

  • Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios.

  • Define standards for advanced prompt engineering and context window management.

  • Own delivery of RAG systems, including vector database selection/topology and knowledgebase design.

  • Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns.

  • Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) - critical in a financial-services context.

  • Define evaluation frameworks and real-time eval strategy; set standards for AI testing in CI/CD.

  • Own latency profiling, AI observability, and cost tracking/management for LLM-backed systems.

  • Run day-to-day delivery of the offshore development team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path AI features.

  • Report delivery status, risks, and blockers to engineering leadership.

Must-Have Qualifications
  • 6+ years in software engineering, with 2+ years as a tech lead owning end-to-end delivery of LLM/AI-powered systems (not a pure design/review architect role).

  • Proven track record of shipping AI-powered features on committed timelines, including hands-on troubleshooting under delivery pressure.

  • Strong, hands-on Python skills at an architectural/systems level.

  • Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers.

  • Demonstrated judgment on model selection (cost, latency, capability trade-offs) across use cases.

  • Deep expertise in prompt engineering and context window management at scale.

  • Proven design experience with RAG systems, including vector database architecture and knowledgebase design.

  • Experience architecting AI agents/multi-agent systems and tool-use patterns (MCP or equivalent).

  • Strong understanding of guardrails design - content safety, PII protection, compliance controls for AI outputs.

  • Experience defining evaluation frameworks and integrating AI testing into CI/CD.

  • Proven ability to design for latency, observability, and cost management of AI systems in production.

  • Financial-services or regulated-industry experience strongly preferred given compliance/guardrail stakes.

  • Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).

Nice-to-Have Qualifications
  • Direct experience with specific frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent).

  • Experience with AWS Bedrock or comparable managed LLM platforms.

  • Contributions to or deep familiarity with MCP (Model Context Protocol) implementations.

  • Experience building internal LLM gateways.

  • Familiarity with responsible-AI/model-risk-management frameworks used in financial services.

Compensation, Benefits and Duration
Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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