Forward Deployed Engineer

Robotic Technologies Automation; Berkeley Heights (NJ); On-site; USD 89,000 - 126,000; Full time

Job summary

Robotic Technologies Automation in Berkeley Heights, NJ is seeking a Forward Deployed Engineer to collaborate with customers, map processes, define KPIs, and design AI-driven solutions across enterprise systems.

You will build AI agents, validate AI artifacts, implement Spec Kit workflows, and drive deployment with CI/CD, security, and observability. The role demands strong Python coding, API/microservices experience, and client-facing communication; 5–7 years in software engineering preferred.

Qualifications

• Strong software engineering background with 5–7 years of experience.
• Proficiency in Python for reviewing, validating, debugging, and optimizing AI-generated code.
• Experience with AI-assisted development tools like GitHub Copilot, Claude, Cursor.
• Experience with Spec-Driven Development (GitHub Spec Kit).
• Hands-on with APIs, microservices, and modern app architectures.
• Ability to read code across client tech stacks and REST data models.
• Familiarity with CI/CD, DevSecOps, and automated testing pipelines.
• Experience with test automation frameworks (Playwright, Selenium).
• Strong problem-solving and analytical skills; customer-facing communication.
• Ability to work independently in fast-paced, distributed teams.

Responsibilities

• Work with customers to understand goals, KPIs, and opportunities.
• Map processes, define success metrics and KPIs for projects.
• Assess technology landscape and prioritize use cases with ROI.
• Design AI solutions, agent workflows, and enterprise integrations.
• Build AI agents, copilots, APIs, services, and RAG orchestration.
• Review AI artifacts and drive deployment of enterprise-grade solutions.
• Apply prompt/context engineering to improve outcomes.
• Customize SDD framework to implement or enhance functionalities.
• Build code analysis capabilities across the code base using SDD framework.
• Extract flows and rules from code and convert to structured specs.
• Handle large or legacy code with chunking and context management.
• Review AI-generated test designs and Playwright scripts for quality.
• Deploy and productionize CI/CD, security, and observability layers.
• Ensure compliance with security and quality standards.
• Develop user onboarding and go-live support.
• Drive adoption and measure business impact.
• Identify new use cases and expansion opportunities.

Skills

Python programming

Software engineering

AI-assisted development

API design

CI/CD

DevSecOps

Playwright/Selenium

Client-facing communication

Independent work

Cross-functional collaboration

Tools

GitHub Copilot

Claude

Cursor

Spec Kit

AST parsing

CodeQL

Sourcegraph

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.