Full-Stack Developer (AI-Augmented Engineering)

Reposted 15 Hours Ago
Be an Early Applicant
Thāne, Thane, Mahārāshtra, IND
In-Office
Senior level
Security • Software • Cybersecurity
We protect and secure our customer’s rapidly evolving digital world by providing a Data-First SASE solution.
The Role
Design, build, and maintain AI agents and automation pipelines using agentic frameworks and LLM APIs. Integrate agents with external tools and services, write well-tested backend code (Golang/Python), monitor and debug agent behavior in production, and collaborate with senior engineers to define and document agent workflows.
Summary Generated by Built In

Who is Forcepoint?

Forcepoint simplifies security for global businesses and governments. Forcepoint’s all-in-one, truly cloud-native platform makes it easy to adopt Zero Trust and prevent the theft or loss of sensitive data and intellectual property no matter where people are working. 20+ years in business. 2.7k employees. 150 countries. 11k+ customers. 300+ patents. If our mission excites you, you’re in the right place; we want you to bring your own energy to help us create a safer world. All we’re missing is you!

About the Role

We're looking for a full-stack developer to join our growing engineering team. This is primarily a product engineering role — you'll design, build, and maintain web applications end to end — but you'll do it in an AI-native way, relying on agent frameworks and AI coding assistants throughout the development lifecycle — not as a bonus skill, but as a core requirement. You're expected to understand how the underlying models work well enough to use them effectively and evaluate their output critically.

Key Responsibilities
  • Design, build, and maintain production web applications across the full stack (frontend, backend, and data layer).
  • Use AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) throughout the SDLC — from spec and scaffolding through implementation, testing, and review — rather than only for isolated snippets.
  • Integrate LLM-powered features and lightweight agentic workflows into product surfaces where they add real user or operational value.
  • Work with agent frameworks (LangChain, CrewAI, AutoGen, or similar) to build or extend automation that connects LLMs to APIs, data sources, and internal tools.
  • Critically review, debug, and refactor AI-generated code — your own and teammates' — with full ownership and understanding of what ships.
  • Write clean, maintainable, well-tested code with unit and integration tests, including for AI-generated contributions.
  • Collaborate with product and engineering peers to scope features, define API contracts, and ship reliably under deadlines.
  • Document designs, decisions, and AI-assisted workflows clearly for the team.
Required Qualifications
  • 4+ years of professional full-stack development experience (e.g., React on the frontend; Python/Go/Rust on the backend).
  • Working understanding of how LLMs function at a practical level — tokens, context windows, embeddings, prompting, and the general shape of what models can and can't reliably do.
  • Hands-on experience with at least one agent framework (LangChain, CrewAI, AutoGen, or similar) — production use preferred, personal/academic projects acceptable.
  • Fluent with AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) as a daily part of your workflow — skilled at providing clear context to get production-quality output.
  • Strong code ownership — able to explain and defend every line you submit regardless of how it was generated, and to catch subtly incorrect AI output.
  • Familiarity with AI-native SDLC practices — using AI assistance across planning, coding, testing, and review, not just code completion.
  • Basic prompt engineering and tool/function-calling fundamentals for working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents).
  • Comfort with REST APIs, JSON, relational databases, and version control (Git).
Nice to Have
  • Experience shipping an LLM-powered feature (chat, RAG, summarization, or similar) inside a production web app.
  • Exposure to vector databases or semantic search.
  • Familiarity with workflow automation tools (n8n, Zapier, Airflow).
  • Comfort with both a compiled backend language (Go/Rust) and Python.
  • Any personal AI projects, bots, or automation tools you've shipped.

Don’t meet every single qualification? Studies show people are hesitant to apply if they don’t meet all requirements listed in a job posting. Forcepoint is focused on building an inclusive and diverse workplace – so if there is something slightly different about your previous experience, but it otherwise aligns and you’re excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team.

The policy of Forcepoint is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

Forcepoint is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to [email protected].

Applicants must have the right to work in the location to which you have applied.

Skills Required

  • 5-8 years of software engineering experience; hands-on AI/agent projects (personal, academic, or professional)
  • AI-first approach—ability to design solutions using AI and automation before conventional approaches
  • Proficiency in at least one of: Golang or Python (Python preferred)
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) and prompt engineering fundamentals including tool/function calling
  • Fluent with AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) and able to critically review, debug, and refactor AI-generated code
  • Strong code ownership and secure coding practices; able to explain every line of code submitted
  • Comfort working with REST APIs, JSON, and version control (Git)
  • Experience writing clean, maintainable, well-tested backend code including unit and integration tests for AI-generated code
  • Actively experiments with new AI coding workflows and shares learnings with the team
  • Right to work in the location to which you have applied
  • Experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, Haystack)
  • Exposure to vector databases or semantic search for agent memory/retrieval
  • Familiarity with workflow automation tools (n8n, Zapier, Airflow)
  • Knowledge of both Golang and Python
  • Personal AI projects, bots, or automation tools you've shipped

Forcepoint Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Forcepoint and has not been reviewed or approved by Forcepoint.

  • Leave & Time Off Breadth U.S. PTO is positioned as flexible or unlimited, with paid holidays and sick time, plus 20 hours of paid volunteer time each year. These elements support work-life balance if applied consistently across teams.
  • Parental & Family Support Offerings include parental leave, adoption assistance, and family medical leave. These benefits complement core medical coverage for family needs.
  • Wellbeing & Lifestyle Benefits Support includes an EAP via TELUS Health, wellness programs, and tuition assistance up to $5,250 annually, alongside mentoring and Forcepoint University resources. These programs provide personal, emotional, and professional development support.

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The Company
HQ: Austin, TX
1,868 Employees
Year Founded: 1994

What We Do

We protect and secure our customer’s rapidly evolving digital world by providing a Data-First SASE solution. Forcepoint is the people-centric cybersecurity company that understands behavior and adapts security response and enforcement to risk. The Forcepoint ONE Platform simplifies security for companies around the world. We live by our values of being customer-centric, simplicity-focused, innovative, trustworthy and ethical, and people-centric.

Why Work With Us

Join our team and feel good about the work you do. At Forcepoint, you’re given unique opportunities to make an impact within your team, the company, and the world. We focus on delivery to our customers, high performance within our teams, and giving back to our communities.

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