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Helper Faang Companies Jobs (NOW HIRING)

David AI

Full Stack Engineer

San Francisco, CA · On-site

$100 - $140/hr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently ... About this role As a Full Stack Engineer at David AI, you'll build cutting‑edge tools that help ...

David AI

Recruiting Coordinator

San Francisco, CA · On-site

$75K - $100K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently ... Help uplevel the processes and systems that power this function - looking for smarter, faster ways ...

New

David AI

Staff Full Stack Engineer

San Francisco, CA · On-site

$130 - $170/hr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently ... that help our customers make sense of the audio data they'll use to train their models, working ...

David AI

Product Engineer, Frontend

San Francisco, CA · On-site

$165K - $225K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently ... interfaces that help our users make sense of the audio data they'll use to train their models ...

David AI

Product Engineer, Full Stack

San Francisco, CA · On-site

$165K - $225K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently ... About this role As a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our ...

David AI

Data Product Operations Lead

New York, NY · On-site

$125K - $175K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently ... About this role As a Data Product Operations Lead, you'll help drive David AI's Data Factory ...

Allegro.eu S.A.

NY · On-site

$61 - $82/hr

... like FAANG companies. (11 of 12 in Pragmatic Engineer Score ) Best-in-Class Expertise: Work ... help developers from product teams use the platform in an efficient way by providing them with ...

Anam

GTM

New York, NY · On-site

Our team comprises top technical talent from frontier AI labs and FAANG, led by ex-Synthesia (AI ... Anam drives measurable outcomes for customers from Fortune 500 companies to AI-native hypergrowth ...

Meticulous

GTM Operator

San Francisco, CA · On-site

$60 - $120/hr

What we do We're building the last piece of the puzzle to help companies unlock AI code generation ... You have been in rooms with decision makers at MBB / Tier 1 bank / FAANG and are now eager to ...

o9 Solutions, Inc.

Senior AI Architect

Fort Worth, TX · On-site

$203.75 - $280.16/hr

By integrating siloed planning capabilities and eliminating billions in value leakage, we help ... technology companies and can translate bold architectural vision into production reality.

Reducto

Recruiter

New York, NY · On-site

$120K - $170K/yr

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... Help think through offer strategy and close candidates who have other options * Build out the ...

Celonis

Staff Software Engineer

New York, NY · On-site

... companies. Come join us on the ground floor on a team led by experienced ex-FAANG coworkers ... Help define a fun and inclusive engineering culture The qualifications you need * BS in Computer ...

Reducto

Recruiter

Manhattan, NY · On-site

$85 - $120/hr

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... Help think through offer strategy and close candidates who have other options * Build out the ...

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All JobsHelper Faang Companies Jobs

Helper Faang Companies information

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How much do helper faang companies jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for helper faang companies in the United States is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.27 per hour, depending on experience, location, and employer.

What is a helper at FAANG companies?

Helper roles at FAANG companies typically refer to entry-level or support positions that assist teams and departments in their day-to-day operations. These roles can include administrative assistants, IT support, office coordinators, or other positions that provide logistical, technical, or operational support. While they may not require advanced technical skills, these jobs are crucial for maintaining workflow efficiency and supporting core business functions. Working in a Helper role can also provide valuable exposure to the company culture and opportunities for career advancement.

What are the typical responsibilities of a helper at FAANG companies?

As a Helper at FAANG companies, you can expect to handle a variety of support tasks that keep project teams functioning smoothly. These may include organizing documentation, assisting with scheduling, facilitating communication between departments, and managing logistical needs for team initiatives. Helpers often work closely with engineers, product managers, and administrative staff to ensure projects stay on track and deadlines are met. This collaborative environment offers valuable exposure to different functions within the company and can provide a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as a software engineer at a FAANG company?

To thrive as a Software Engineer at a FAANG company, you need a strong background in computer science fundamentals, coding proficiency (often in languages such as Python, Java, or C++), and a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms (e.g., AWS, Google Cloud), and coding interview preparation are essential, and certifications such as AWS Certified Solutions Architect can be beneficial. Exceptional problem-solving skills, teamwork, and effective communication set standout candidates apart in collaborative and high-pressure environments. These skills ensure engineers can contribute to complex projects, adapt to rapid technological changes, and drive innovation at scale.

What is the difference between Helper Faang Companies vs Data Analyst?

AspectHelper Faang CompaniesData Analyst
Required CredentialsHigh school diploma or equivalent, basic technical skillsBachelor's degree in statistics, data science, or related field
Work EnvironmentSupport roles in tech offices, often entry-levelOffice setting, analyzing data, creating reports
Employer & Industry UsageTech giants like Google, Facebook, AmazonVarious industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding entry-level support roles in FAANGComparing data analysis roles in tech companies

Helper Faang Companies typically refer to entry-level support roles requiring minimal formal credentials, focusing on assisting teams within tech giants. Data Analysts, however, usually need specialized education and analyze data to inform business decisions. While both work in tech environments, their responsibilities and qualifications differ significantly.

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Helper Faang Companies jobs near you
Infographic showing various Helper Faang Companies job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $37,856 per year, or $18.2 per hour.

Full Stack AI Engineer | Onsite in New York | Local Candidates Only, 5

Twenty80 LLC

Manhattan, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 7 hours ago

Key responsibilities

  • Build, test, launch, and improve full-stack products from zero to one

  • Develop frontend applications using React, Next.js, or similar technologies and build backend services, APIs, databases, and third-party integrations

  • Create AI-powered features using large language models, multimodal models, and develop AI agents that interact with external systems

Job description

\We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience.

This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the company’s Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work.

About the Role

Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the company’s technical foundation.

The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build.

Responsibilities

  • Build, test, launch, and improve full-stack products from zero to one

  • Develop modern frontend applications using React, Next.js, or similar technologies

  • Build backend services, APIs, databases, and third-party integrations

  • Create AI-powered features using large language models and multimodal models

  • Build AI agents that can use tools, complete workflows, and interact with external systems

  • Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems

  • Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems

  • Implement structured outputs, tool calling, model routing, and human approval workflows

  • Build evaluation, monitoring, and testing systems for AI performance

  • Improve application reliability, scalability, security, latency, and AI inference costs

  • Work directly with founders, users, and product stakeholders

  • Help make product, architecture, and technology decisions

Qualifications

  • 4 or more years of professional software engineering experience

  • Proven experience building and launching a product from zero to one

  • Prior experience working at an early-stage startup

  • Strong experience across frontend and backend development

  • Strong skills in TypeScript, JavaScript, React, and Next.js

  • Backend experience with Node.js, Python, FastAPI, Go, or similar technologies

  • Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments

  • Hands-on experience integrating large language models into production applications

  • Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI

  • Strong product judgment and the ability to operate with limited direction

  • Ability to move quickly while maintaining high engineering standards

  • Must be actively hands-on and writing production code

Preferred Experience

  • OpenAI, Anthropic, Gemini, or open-source AI models

  • Model Context Protocol and agent orchestration frameworks

  • LangGraph, LlamaIndex, Vercel AI SDK, or similar tools

  • Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector

  • Voice AI, WebSockets, WebRTC, or real-time streaming systems

  • AI evaluations, observability, prompt injection protection, and model security

  • Docker, AWS, Google Cloud, Azure, or serverless infrastructure

  • Experience as an early, founding, or first engineering hire

Ideal Candidate

You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use.

You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions.

Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience.

Location Requirement

This position is onsite in Manhattan five days per week.

Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.