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Applied AI Engineer with Fullstack
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Applied AI Engineer with Fullstack

Applied AI Engineer with Fullstack at zero · Remote only · 3 - 8 years · ₹12L - ₹40L / yr · Remote only · Posted 16 Sep 2026

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Applied AI Engineer with Fullstack

Agency job
3 - 8 yrs
₹12L - ₹40L / yr
Remote only
Skills
Artificial Intelligence (AI)
Large Language Models (LLM)
Fine-tuning LLMs
Retrieval Augmented Generation (RAG)
skill iconNextJs (Next.js)
skill iconNodeJS (Node.js)
skill iconPython


About the Role


We are looking for a hands-on Applied AI / Full Stack Engineer to build AI-powered products and experiences. The ideal candidate should be comfortable working across AI, backend, and frontend and taking features from idea to production.


Key Responsibilities

  • Build and deploy AI/LLM-powered applications and features.
  • Develop AI agents, RAG pipelines, tool/function-calling workflows and integrations.
  • Build scalable backend APIs and services.
  • Develop frontend applications using React/Next.js.
  • Integrate LLMs such as OpenAI, Claude, Gemini, etc.
  • Work with databases, cloud platforms and production deployments.
  • Collaborate with product and design teams and take ownership of features end-to-end.


Must-Have Skills

  • 3–6 years of software engineering experience.
  • Strong Python and/or TypeScript/Node.js.
  • Strong React.js / Next.js / TypeScript experience.
  • Hands-on experience with LLMs / Generative AI.
  • Experience with RAG, AI Agents or tool/function calling.
  • Experience building and deploying real-world products.
  • Good understanding of APIs, databases and cloud deployment.


Good to Have

  • LangChain / LangGraph / LlamaIndex
  • PostgreSQL / Vector Databases
  • AWS / GCP / Azure / Vercel
  • Docker / CI/CD
  • Experience in an early-stage startup or AI product company.


We are looking for builders who can take a problem, experiment, build, ship and improve it—not just candidates with AI keywords on their resume.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About zero

Founded :
2010
Type
Size
Stage

About

"Whenever the existing needed better the change gave birth to the New & If you are not selling anything NEW or out of the world then certainly, all you need is to count on ZERO, because of its new approach which creates a new outlook! We have nothing to sell you, rather we intend to reduce your marketing cost only if you consider to outsource the marketing campaign to us. We add value to your product through our value added services in marketing your product only to make the entire activity more accountable, sales specific & quantified for a impactful impression and assured result!"
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Client is is at the cutting-edge of AI, Psychology and large-scale data. We believe that we have an opportunity (and even a responsibility) to personalize and humanize how people interact over the internet; and an opportunity to inspire far more trustworthy relationships online than it has ever been possible before. We currently focus on selling ‘buyer intelligence’ to sales teams.
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8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 


● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

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Fountane Archipelago  ·  Island Role


A Little Bit About the Role


We are looking for a Senior Product Engineer (L3) who thrives in complexity. Most engineers build on blank canvases — you build on someone else’s mess and leave it better than you found it.


The majority of your work at L3 will be on existing, live codebases — disorganised, partially documented, built by multiple teams over multiple years. Your job is to enter those systems, understand them before touching them, extend and clean them without breaking what works, and progressively bring them up to a standard where AI tooling can accelerate further development. This is the core of what L3 does at Fountane. If you have only built greenfield projects, this role will be hard.


You are expected to be genuinely full stack: comfortable owning web applications and mobile apps, the frontend, backend, database, state management, and API integration layer — without needing to hand off to a specialist.


You will work closely with the Concept Engineer on your Island — translating their prototypes into production architecture, raising technical blockers early, and keeping the sprint honest. You will also review code, mentor junior engineers, respond to production incidents, and contribute to the network’s shared knowledge base.


All of this is done primarily with Cursor and Claude as your execution and reasoning tools. AI-assisted engineering is not a feature of this role — it is the method.


AI-First Engineering Expectation


Cursor and Claude are your primary tools — not supplements. Engineers at L3 who are not using AI at the codebase level are not operating at this level.


At L3, AI-assisted engineering means:

  • Loading full codebase context into Cursor before writing a single line — understanding the system before touching it.
  • Writing scoped, precise refactor prompts that isolate changes to one concern at a time.
  • Using Cursor to generate tests that document existing behaviour before any restructuring begins.
  • Using Claude for architecture reasoning, decision documentation, and translating CE briefs into structured technical plans.
  • Producing inline documentation and decision records as part of the AI-assisted workflow — not as an afterthought.
  • Sharing effective prompt patterns and Cursor discoveries with the broader Fountane network — kept to yourself, they are a missed contribution.


Key Responsibilities


Legacy Codebase Refactoring & the Cleaning Phase

This is the primary L3 engagement type at Fountane. You will be handed existing, partially documented codebases — built by previous teams, often without tests, with inconsistent patterns — and your job is to refactor them into a clean, AI-promptable state without losing existing functionality. You use Cursor’s codebase context window to navigate safely, write characterisation tests before touching anything, and make changes in small, reviewable increments. The standard is: every module you leave should be easier to extend by AI tooling than when you found it.


Full Stack Development — Web & Mobile

Build and own the full application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and relational and non-relational databases. You should be able to pick up web or mobile on any engagement without needing a handoff. Schema design, data modelling, and state architecture are yours to own — including diagnosing and fixing broken or leaking state in existing frontends.


Third-Party API Integrations

Integrate complex third-party services — payments (Stripe), communications (Twilio), auth (Auth0), and others — reliably and without creating brittle dependencies. Own the integration layer end to end: error handling, retries, failure modes, and documentation. If a third-party integration is flaky in production, that is your problem to own.


CE Collaboration & Sprint Integrity

Work directly with the Concept Engineer to translate prototypes into buildable technical plans. Review CE briefs before the sprint starts — if the scope is technically unrealistic, the time to say so is before work begins, not on demo day. Raise blockers against acceptance criteria proactively. You are the technical check on what the CE promises the client.


Security Awareness

Write code that does not require the Lead to security-audit every line. This means: input validation by default, no hardcoded secrets, correct auth scoping, safe handling of user data, and awareness of common vulnerabilities (injection, broken auth, insecure direct object references) in the context of the stacks you work in. You are not the security architect — the Lead owns that — but you are expected to produce code that does not introduce obvious vulnerabilities.


Production Incident Response

When something breaks in production, you are on it. Diagnose the issue, apply a safe fix or rollback, document what happened and why, and hand a clear summary to the Lead for the client post-mortem. Speed matters, but a bad fix that causes a second incident is worse than a slow fix that is correct. Response expectation: acknowledged within 1 hour, resolved or escalated with a clear status within 4 hours.


Codebase Navigation & Safe Refactoring

On all engagements — not just Cleaning Phase work — keep changes small, focused, and reviewable. One type of change per commit. Write tests that document existing behaviour before restructuring. Leave every module easier to understand than when you found it.


Code Review

Review pull requests from L1 and L2 engineers with specific, actionable feedback — not rubber-stamp approvals. A good code review at L3 leaves the author understanding what to do differently next time, not just what to fix now. Review weekly; do not let PRs age.


Mentoring

Review junior engineers’ code weekly with specific, useful feedback — this is distinct from quality-gate code review. The goal here is teaching, not gatekeeping. Run monthly pairing sessions to help them grow. The measure of good mentoring is whether they are becoming more capable and less dependent on you over time.


Documentation

Write short decision records when you make significant technical choices. Leave every module you touch easier to understand than when you found it. Treat documentation as part of the engineering work, not a separate task you do at the end.


Qualifications


  • 5+ years of experience as a software engineer, with a strong track record on real production codebases you did not build from scratch — incomplete documentation, inconsistent patterns, other people’s decisions. If your experience is primarily greenfield, this role will be a difficult fit.
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Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.


Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.


We are radically open-minded, serious about craft, and direct about expectations. If you want to do meaningful work without politics, this is the place.



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Our vision is to collaborate to achieve perfection, and we value positivity, learning, ownership, excellence and believe in building trust and care. Feel free to read more about us athttps://www.raweng.com/"> https://www.raweng.com/

 

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Work schedule – Monday to Friday, 10am to 7pm

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There is so much more that we can talk about this role and the workplace. If you are passionate about your career as we are.

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Disclaimer: Raw Engineering strongly believes in Equal Employment Opportunity.

We look forward to meeting you! 

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skill iconMongoDB
skill iconPostgreSQL
WHAT WE ARE LOOKING FOR We are building a world-class engineering team with diverse skills and backgrounds. If you love data, and love solving hard problems, then this opportunity is for you! We are seeking strong software engineers and data scientists with a background in Machine Learning. You will be responsible for designing distributed systems, applying advanced data science techniques while working closely with our infrastructure, quality and product management teams. We value teamwork and collaboration. While we enjoy the never-say-die attitude that members bring to the table every day we also recognize the work-life balance that everyone needs.
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Shubham Vishwakarma

Full Stack Developer - Averlon
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