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Faang Engineer Jobs (NOW HIRING)

Zania, Inc

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $250K/yr

FAANG companies, Big 4 firms, and a portfolio of the world's most notable enterprises. * Tier 1 ... Our engineers and GRC experts work at the absolute forefront of applied AI, building agentic ...

Higgsfield AI

Security Infrastructure Engineer

$146K/yr

... FAANG, or large enterprise environments * Must have experience working in a high-growth, scale-up ... Comfortable working cross-functionally with DevOps, Engineering, and IT teams in a fast-paced ...

David AI

Software Engineer, Security

San Francisco, CA · On-site

$200K - $250K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently ... About our Engineering team At David AI, our engineers build the pipelines, platforms, and models ...

Zania, Inc

Software Engineer

Palo Alto, CA · On-site

$100K - $200K/yr

Our customers are the most notable enterprises in the world, including FAANG, Big 4 firms and a ... Our engineers and GRC experts work at the absolute forefront of applied AI, building the next ...

Reducto

Lead Software Engineer, Platform

San Francisco, CA · On-site

$150K - $300K/yr

... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ... The Opportunity As the Lead Software Engineer on Platform, you'll own the infrastructure behind ...

Meticulous

GTM Operator

San Francisco, CA · On-site

$60 - $120/hr

Engineering leaders are drowning in long software review cycles and more bugs than ever. The ... You have been in rooms with decision makers at MBB / Tier 1 bank / FAANG and are now eager to ...

Reducto

Infrastructure Engineer

San Francisco, CA · On-site

$150K - $300K/yr

... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ... The Opportunity As an Infrastructure Engineer at Reducto, you will influence every aspect of our ...

Reducto

Product Engineer

San Francisco, CA · On-site

$150K - $300K/yr

... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ... The Role As a Product Engineer, you'll work on the features used by our customers to design, build ...

Reducto

Lead Product Engineer

San Francisco, CA · On-site

$200K - $300K/yr

... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ... The Role As a Lead Product Engineer, you'll define and build the features and platform used by our ...

Reducto

Solutions Engineer

San Francisco, CA · On-site

$180K - $250K/yr

... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ... You'll bridge the gap between our GTM team, core engineering team, and the unique, complex needs of ...

Zania, Inc

Founding Senior Software Engineer

Palo Alto, CA · On-site

$120K - $230K/yr

Our customers are the most notable enterprises in the world, including FAANG, Big 4 firms and a ... Our engineers and GRC experts work at the absolute forefront of applied AI, building the next ...

Zania, Inc

GRC Engineer

Palo Alto, CA · On-site

$130K - $170K/yr

Our customers are the most notable enterprises in the world, including FAANG, Big 4 firms and a ... Our engineers and GRC experts work at the absolute forefront of applied AI, building the next ...

Reducto

Forward Deployed Engineer

San Francisco, CA · On-site

$150K - $300K/yr

... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ... The Opportunity As our founding Forward Deployed Engineer at Reducto, you'll be at the front lines ...

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Faang Engineer information

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How much do faang engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for faang engineer in the United States is $105,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $128,500.00 per year, depending on experience, location, and employer.

What is a FAANG Engineer job?

A FAANG Engineer is a software engineer working at one of the top technology companies: Facebook (Meta), Apple, Amazon, Netflix, or Google. These engineers are responsible for designing, developing, and maintaining scalable software systems, often working on high-impact products used by millions of users. The role typically requires strong programming skills, problem-solving abilities, and expertise in data structures, algorithms, and system design. FAANG Engineers go through rigorous technical interviews and are often compensated with competitive salaries, stock options, and other benefits.

What are the key skills and qualifications needed to thrive in the Faang Engineer position, and why are they important?

To thrive as a FAANG Engineer, you need strong computer science fundamentals, proficiency in coding (often in languages like Java, Python, or C++), and a proven track record of solving complex algorithmic problems, typically supported by a relevant degree or equivalent experience. Familiarity with distributed systems, cloud technologies, and common development tools such as Git, as well as participation in coding competitions or recognized certifications, is highly valued. Strong problem-solving ability, teamwork, effective communication, and adaptability are standout soft skills in this position. These skills are important as FAANG engineers work on high-impact, scalable products within fast-paced, collaborative environments where innovation and excellence are essential.

What does a typical career progression look like for a FAANG Engineer?

A FAANG Engineer often starts at the entry or mid-level, focusing on building core technical expertise and contributing to key projects alongside experienced colleagues. As you gain experience and demonstrate leadership, you can progress to senior engineer or tech lead roles, which involve greater ownership of projects, mentorship responsibilities, and strategic input in technical decisions. With continued impact, you may move into staff, principal, or engineering manager positions, emphasizing cross-team collaboration, architectural vision, and people management. FAANG companies support career growth through structured performance reviews, internal mobility programs, and professional development resources, allowing engineers to pursue technical or management-oriented paths.

More about Faang Engineer jobs
What cities are hiring for Faang Engineer jobs? Cities with the most Faang Engineer job openings:
What are the most commonly searched types of Faang Engineer jobs? The most popular types of Faang Engineer jobs are:
What states have the most Faang Engineer jobs? States with the most job openings for Faang Engineer jobs include:
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Faang Engineer jobs near you
Infographic showing various Faang Engineer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $105,107 per year, or $50.5 per hour.

Applied AI Engineer

Zania, Inc

Palo Alto, CA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago

Job description

Why Zania
Every enterprise spends millions on Governance, Risk, and Compliance. It's one of the most critical - and most painful - parts of running a business. The industry has been dominated by legacy platforms with notoriously low NPS scores for decades. It's completely ripe for disruption.
Zania is building agentic AI for GRC to solve this problem. We're building intelligent agents that execute complex risk and compliance workflows with full explainability - not dashboards, not copilots, but agents that do the work. We've found exceptional product-market fit and are scaling fast.
Why join:
  • Dream Customers: FAANG companies, Big 4 firms, and a portfolio of the world's most notable enterprises.
  • Tier 1 Backing: Series A led by NEA, with Anthropic and Menlo Ventures. $18M raised to build a generational company.
  • World-Class Team: AI and security leaders from Airbnb, Microsoft, Bain, Deloitte, PwC, Brex, and Instacart.
  • Pioneering Technology: Our engineers and GRC experts work at the absolute forefront of applied AI, building agentic systems that will define the future of compliance.
  • Hyper-Growth: 10x ARR growth in the last year.
  • Competitive Compensation & Equity.

The role
You will build AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance. Not research. Not prototypes. Production systems with a fanatical focus on accuracy, explainability, and responsible design. You will own the AI-native products that set a new global standard for GRC.
We use an in-person work model and offer relocation assistance.
What you'll do
  • Build & fine-tune models. Fine-tune foundation models on proprietary data and implement novel techniques to achieve world-class accuracy on complex GRC tasks.
  • Develop AI-native workflows. Build sophisticated, multi-step agentic workflows that automate complex GRC processes - from risk assessment to compliance monitoring to evidence collection.
  • Champion responsible AI. Implement and pioneer methods for AI explainability and safety. Our systems must be transparent, auditable, and fair. This is non-negotiable in our domain.
  • Drive innovation. Rapidly prototype, evaluate, and integrate state-of-the-art research (agents, RAG, new architectures) into reliable, production-grade features.

Representative projects
  • Build an AI agent that analyzes thousands of regulatory documents and internal controls, identifying compliance gaps with higher accuracy than a team of human experts.
  • Develop an explainable AI system for risk assessment, allowing auditors and executives to understand and trust the AI's reasoning on high-stakes decisions.
  • Build an advanced RAG pipeline over a massive corpus of unstructured company data to produce precise, verifiable assessments against complex compliance requirements.
  • Partner with GRC subject matter experts to create ground-truth datasets for tasks like third-party risk evaluation, then fine-tune models that become the industry standard.

What you have
  • 3+ years in an applied AI or machine learning engineering role.
  • Proven product sense. You've shipped reliable, production-scale ML products. You know how to use offline evaluation and online experimentation to achieve high-performance results.
  • Hands-on applied AI expertise. Direct experience building with LLMs - fine-tuning, RAG, and agentic systems. Not theoretical. You've put these into production.
  • High agency. You take full ownership of outcomes, move with a bias for action, and have a relentless drive for world-class accuracy. You see constraints as design problems, not blockers.
  • Strong communication. You can work closely with security and GRC research counterparts and articulate technical tradeoffs clearly.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 3+ years of experience in applied AI, machine learning engineering, or a related technical role
  • Demonstrated hands-on experience building and deploying LLM-based systems (fine-tuning, RAG, or agentic workflows) in a production environment
  • Strong written and verbal communication skills - you will collaborate closely with GRC subject matter experts and must translate technical tradeoffs clearly to non-technical stakeholders

Compensation & benefits
  • Competitive salary + significant equity
  • Flexible PTO
  • Medical, dental, and vision insurance
  • Meals and snacks in the office
  • Relocation and immigration support

Zania is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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