Search for Backend/Full-Stack Engineer roles in Mountain View, CA, focusing on B2B SaaS companies, specifically looking for roles that require 3+ years of experience, with a strong proficiency in Node.js and Python.

Okay, I've searched for Backend/Full-Stack Engineer roles in Mountain View, CA, within B2B SaaS companies, requiring at least 3 years of experience and strong proficiency in Node.js and Python. I have found 57 positions for you.

Backend/Full-Stack Engineer

Mountain View, CA

B2B SaaS

3 years + Experience

Node.js

Python

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Backend/Full-Stack Engineer role at this AI-powered B2B SaaS company primarily centers around developing and enhancing the platform's AI capabilities, thereby enabling modern brands and distributors to manage their sales and operations more effectively. This involves not just writing robust code but also integrating complex AI functionalities such as semantic search and machine learning pipelines. The responsibilities require building scalable solutions while collaborating closely with product and business teams to translate requirements into high-impact features. Given the company’s commitment to engineering excellence, success in this role will hinge on the engineer's ability to iterate quickly based on user feedback, demonstrate strong communication skills, and maintain a proactive work attitude in a fast-paced environment. Navigating challenges such as ambiguity in requirement definitions or technical complexities will be critical. Delivering production-ready solutions that enhance operational efficiencies and customer satisfaction will be a benchmark of success in the first 6–12 months.

Company Analysis:

This company stands at the intersection of B2B SaaS and AI technology, positioning itself as an innovative disruptor in a competitive market. Its focus on automating and streamlining complex workflows indicates not only a robust understanding of client pain points but also a commitment to creating value through technology. The culture appears to prioritize agility, collaboration, and a people-centered approach, which is critical in a tech-driven environment where high-quality engineering talent is paramount. The team seems to operate with minimal bureaucracy, fostering self-realization and professional growth, which should appeal to candidates who thrive in dynamic and flexible settings. As this company embarks on its next phase of growth, engineers will play a pivotal role in driving this expansion. This role will not only support immediate operational goals but also align with the broader mission of innovating within the AI space, underlining the importance of strategic hires like this one for scaling operations and enhancing product offerings.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to overcome a significant technical challenge while developing a feature. What was the situation, and how did you handle it?
Describe an instance where you collaborated with cross-functional teams to deliver a project. What was your role, and what were the outcomes?
Can you give me an example of how you incorporated user feedback into an MVP you developed?
How would you explain the importance of AI capabilities in a B2B SaaS context to a non-technical stakeholder?
What techniques do you use to ensure the scalability of your backend applications?
How have you previously approached the deployment of an AI/ML feature? What challenges did you face?
Can you walk us through your process for building and deploying a cloud infrastructure solution?
Imagine you are tasked with integrating a new AI feature into an existing platform that is under heavy use. How would you minimize disruption?
Why are you interested in working at this company, and how do you see your role contributing to its AI initiatives?
What do you consider your most impactful project to date, and how does it relate to the responsibilities outlined in this job description?
What excites you about the potential of AI in B2B applications, particularly in relation to sales and operational processes?
How do you maintain your technical knowledge and stay updated with industry trends, especially in technologies like Node.js and cloud services?
What questions do you have about the team you would be joining or the projects you might be working on?
Can you elaborate on your experience with vector databases and how you've applied this knowledge in past roles?
What aspects of our company culture resonate with you and why do you think you would thrive in this environment?

Job Details

Overview Company

Backend/Full-Stack Engineer

Agile Fuel | World-class Dedicated Engineering Teams

19 hours ago

Highlight

HybridFull-time3+ yearsMid

Summary

Agile Fuel | World-class Dedicated Engineering Teams is seeking a Backend/Full-Stack Engineer to join their team in Mountain View, CA. The role involves building and enhancing AI capabilities and developing scalable solutions for B2B SaaS platforms.

About the Role

As a Backend/Full-Stack Engineer, you will build and enhance core AI capabilities such as semantic search, RAG pipelines, vector search, LLM integrations, and internal copilots. You will write and maintain robust backend code using Node.js, NestJS, Python, TypeScript, and MongoDB. Your responsibilities include designing, deploying, and managing scalable AI/ML pipelines, developing comprehensive tests, and maintaining cloud infrastructure on AWS. You will work closely with product and business teams to define requirements and deliver high-impact features.

About You

Required:

3+ years of experience in backend or full-stack engineering, preferably in B2B SaaS environments.
Hands-on experience developing and deploying AI/ML-driven features and pipelines.
Strong proficiency in Node.js, NestJS, Python, TypeScript, and MongoDB.
Experience working with vector databases (e.g., Weaviate, Milvus).
Solid background in cloud infrastructure and production deployment (AWS or GCP, Docker, Jenkins).
Proven ability to quickly build MVPs and iterate based on user feedback.
Excellent communication skills with the ability to explain technical decisions clearly.
At least Upper-Intermediate level of English.
Comfortable working independently in a fast-paced environment; self-motivated and proactive.

Benefits

People-oriented management without bureaucracy.
Opportunities for self-realization, career, and professional growth.
Friendly and engaging professional team.

Agile Fuel | World-class Dedicated Engineering Teams

Great ideas require great execution, and great execution requires a strong team of brilliant people working together to reach the common goal.

As we started helping friends (and friends-of-friends) in the software industry build up their own teams based on these learnings, the results were phenomenal, and in 2015, we have launched Agile Fuel as a very selective, high-touch, boutique service to bring this approach to others as well.

We know this very well, because we have walked the walk. Since the early 2000s, our two founders have worked for tech startups, giant software companies, and consulting firms in the Bay Area and beyond, and eventually founded a few companies of our own as well. One of them, a B2B enterprise SaaS company, has become a major player in its industry. The biggest key to our success in both building the core product and scaling the technical implementations was the ability, and the processes we have created, to hire the right people quickly and effectively, and integrate them into our team while retaining and growing our culture—all within the typical constraints of being a bootstrapped, and later venture-funded, startup. These people have been our biggest investment, our greatest value, and our main competitive advantage.

We recruit and support high-quality dedicated engineering teams that work remotely from Europe and are tailored specifically to each client’s technical requirements, culture, and communication needs.

We are stack-agnostic, because we focus on finding the right people for the specific needs, however commonplace or esoteric they may be.

We take care of recruiting and everything else on the HR and administrative side of things, so you can focus on direct engineering management and preserving your team culture.

Mountain View, CA