Skip to main content
TryApplyNow
Betterbizs logo

Fully Stack Ai engineer

Betterbizs
Be an Early ApplicantFull TimemidRemote
RemoteRemotePosted Today

Role Overview

Betterbizs is hiring a mid-level Fully Stack Ai engineer. This is a full-time remote role, with the team based in Remote. Part of Betterbizs's Lifecycle hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Mid-level Lifecycle roles is $100k-$125k (based on 70 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonTypeScriptReactNext.jsAWSGCPAzureDocker

Job description

Lead Full Stack AI Engineer

Experience: 4–8 Years

Location: Remote (India)

Employment Type: Full-time

CTC: Up to ₹30 LPA

About the Role

We are looking for a Lead Full Stack AI Engineer to build and scale production-grade AI applications. This role is ideal for someone who has hands-on experience developing Generative AI solutions, Retrieval-Augmented Generation (RAG) systems, and AI agents while also leading technical initiatives and mentoring engineers.

You will own the end-to-end development lifecycle—from designing intuitive front-end applications to building scalable backend services, AI pipelines, and production-ready agentic workflows.

Key Responsibilities

  • Design, develop, and deploy full-stack AI applications.
  • Build production-ready AI agents using LLMs and agent frameworks.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
  • Build scalable backend services and APIs using Python.
  • Develop responsive web applications using Next.js, React, and TypeScript.
  • Integrate vector databases, embeddings, semantic search, and AI workflows.
  • Ensure system reliability through monitoring, logging, evaluation, and testing.
  • Collaborate with product and engineering teams to deliver scalable AI solutions.
  • Lead a small team of engineers through mentoring, code reviews, and technical guidance.
  • Drive architectural decisions and engineering best practices.

Required Skills

  • 4+ years of software engineering experience.
  • 1–2+ years of hands-on experience building production Generative AI applications.
  • Strong proficiency in Python.
  • Strong experience with Next.js, React.js, and TypeScript.
  • Experience building RAG (Retrieval-Augmented Generation) applications.
  • Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.
  • Solid understanding of LLMs, AI Agents, Prompt Engineering, Tool Calling, and Agent Orchestration.
  • Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or Milvus.
  • Experience with PostgreSQL and cloud platforms (AWS, Azure, or GCP).
  • Strong understanding of REST APIs, system design, Docker, Git, and CI/CD.
  • Experience using AI coding assistants like Cursor, Claude Code, or GitHub Copilot.

Preferred Skills

  • Experience with AI evaluation and observability tools such as LangSmith, LangFuse, Braintrust, Phoenix, or Arize.
  • Experience working with large-scale document processing or enterprise AI solutions.
  • Knowledge of security, compliance, and handling sensitive enterprise data.
  • Previous experience leading engineering teams or technical projects.
  • Open-source contributions are a plus.

What We're Looking For

  • Strong problem-solving and analytical skills.
  • Ownership mindset with the ability to thrive in a fast-paced environment.
  • Excellent communication and collaboration skills.
  • Passion for building scalable AI products and staying updated with the latest AI advancements.
  • Ability to mentor engineers and lead technical initiatives.

Benefits

  • Fully Remote (Work from Anywhere)
  • Competitive salary up to ₹30 LPA
  • Opportunity to work on cutting-edge AI products.
  • High ownership, collaborative culture, and excellent learning opportunities.

About Betterbizs

Betterbizs logo

Betterbizs

LifecycleHires remote

Frequently Asked Questions

How do I apply for the Fully Stack Ai engineer position at Betterbizs?

Use the Apply button above to submit your application directly to Betterbizs. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Fully Stack Ai engineer role at Betterbizs remote?

Yes. This is a remote role. The team is based in Remote, but the position itself does not require relocating to that office.

What does a Fully Stack Ai engineer at Betterbizs earn?

Betterbizs has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Fully Stack Ai engineer role at Betterbizs posted?

This role was posted on July 2, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

AI-powered job search

Get every job scored to your resume

Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.

Get started free

No credit card to start