Forward Deployed Engineer

Quantum Technologies. LLC; Berkeley Heights (NJ); On-site; USD 91,000 - 124,000; Full time

Job summary

Quantum Technologies. LLC in Berkeley Heights, NJ seeks a Forward Deployed Engineer to drive AI-enabled solutions for enterprise clients. You will design AI workflows, build agents, integrate with systems, and validate artifacts across the SDLC.

This role emphasizes prompt engineering, code analysis, deployment of enterprise-grade applications, and collaboration with cross-functional teams to deliver measurable business outcomes.

Qualifications

• 5-7 years of software engineering experience required.
• Strong Python proficiency for reviewing and optimizing AI-generated code.
• Experience with AI-assisted development tools (e.g., GitHub Copilot, Claude, Cursor).
• Experience with Spec-Driven Development (GitHub Spec Kit or equivalent).
• Hands-on with APIs, microservices, and modern architectures.

Responsibilities

• Work with customers to understand goals, KPIs, and opportunities.
• Map processes and define success metrics and KPIs.
• Assess current tech landscape, prioritize use cases, ROI estimation.
• Design technology solutions and AI agent workflows.
• Build AI agents, copilots, and enterprise integrations.
• Review AI-generated artifacts and drive deployment of enterprise-grade apps.
• Apply prompt engineering and context engineering techniques.
• Customize SD Framework to implement functionalities.
• Develop code analysis capabilities using the SD Framework.
• Extract user flows and rules from the codebase into structured specs.
• Manage large/legacy codebases with chunking and context management.
• Review AI-generated test designs and Playwright automation assets.
• Deploy and productionize CI/CD, security, monitoring, and reliability.
• Ensure compliance with security, governance, DevSecOps, and quality standards.
• Develop user onboarding and go-live support.
• Drive user adoption and measure business impact.
• Identify new use cases and refine models and prompts.
• Improve processes and automation.

Skills

Software engineering

Python

AI tools

Spec-Driven Development

APIs & microservices

REST APIs

CI/CD

Playwright/Selenium

Cross-functional teams

Customer-facing communication

Tools

GitHub Copilot

CodeQL

Tree-sitter

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Forward Deployed Engineer

Location: Berkeley Heights, NJ

Duration: 12 Months + Extension

Bill Rate: $78/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

Key Responsibilities:

• Work closely with customers and stakeholders to understand business goals, strategy, pain points, opportunities
• Map processes and workflow, define success metrics and KPIs
• Assess current state & technology landscape, priorities use cases, estimate ROI,
• Design technology solutions, AI/Agent workflows, integrations, data requirements, security and risk requirements
• Build AI agents, copilots, applications, APIs, services, integration with enterprise systems, RAG, orchestration
• Design, generate and validate AI-generated code and engineering artifacts, and drive deployment of enterprise-grade applications, integrations, and AI-powered solutions
• Review and validate AI-generated artifacts including requirements, design documents, code, and technical specifications.
• Apply prompt engineering, context engineering, and AI enablement techniques to improve solution outcomes.
• Customize SDD framework (GitHub SpecKit) to implement or enhance the application functionalities.
• Build the code analysis capability that scans the application code base (UI components, routes, controllers/services, API definitions, data models, validation and business-rule logic) using SDD Framework.
• Extract user flows, functional rules, boundary conditions, error paths, and integration points from the code using SDD framework
• Convert the extracted understanding into structured, reviewable specs using the Spec Kit workflow (constitution, specify, plan, tasks, implement).
• Handle large or legacy code bases through chunking, indexing, dependency mapping, and context management so results stay accurate.
• Review and validate AI-generated test designs, test cases, Playwright automation scripts, and quality engineering assets to ensure functional accuracy, adequate coverage, maintainability, and production readiness.
• Deploy and productionize CI/CD, automation, security, access, compliance, monitoring, logging, observability, performance tuning, scalability
• Review and ensure compliance with enterprise security, governance, DevSecOps, and quality standards.
• Develop user onboarding, training, go-live support
• Drive user adoption, measure business impact, optimize user experience, communicate outcomes
• Identify new user cases, expansion opportunities, refine model, prompts, agents
• Improve and refine processes, automation

Required Technical Skills:

• Strong software engineering background with 5 7 years of experience.
• Strong proficiency in Python, with the ability to review, validate, debug, and optimize AI-generated code for enterprise use.
• Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or equivalent platforms.
• Experience working with Spec-Driven Development methodologies (GitHub Spec Kit or comparable approaches).
• Hands-on experience with APIs, microservices, and modern application architectures.
• Ability to read and reason about code in the client s stack (for example Java/Spring, .NET, Node.js, C++ or Python), including REST APIs and data models.
• Experience with static analysis or code parsing techniques (AST parsing, call graphs, dependency analysis, or tools such as Tree-sitter, CodeQL, or Sourcegraph)
• Familiarity with CI/CD, DevSecOps, automated testing, and deployment pipelines.
• Experience with test automation frameworks such as Playwright, Selenium, or equivalent.
• Professional Skills
• Strong problem-solving and analytical capabilities.
• Customer-facing communication and consulting skills.
• Ability to work independently in fast-paced environments.
• Experience collaborating with cross-functional and distributed teams.
• Strong ownership mindset with a focus on measurable business outcomes.

Preferred Qualifications:

• Experience in Banking & Financial Services (BFS) domain.
• Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models.
• Understanding of cloud-native architectures and platform engineering.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.