AI/ML Full Stack Engineer | REMOTE | 2- 5 Years Experience

We're Hiring: AI/ML Full Stack Engineer
Company: AAVIL Labs
Experience: 2- 5 Years
Location: Remote
Employment Type: Full-Time
About the Role
AAVIL Labs is looking for an AI/ML Full Stack Engineer to build and deploy AI-powered web applications. You will work across frontend interfaces, backend services, databases, and AI integrations, taking features from concept to production.
Key Responsibilities
Develop responsive web applications using React, Next.js, or similar frameworks.
Build backend services and REST APIs using Python with FastAPI or Django, and/or Node.js.
Integrate machine learning models, large language models, and third-party AI APIs into applications.
Develop Generative AI features, RAG pipelines, AI agents, and automation workflows.
Design and manage databases, including SQL, NoSQL, and vector databases.
Prepare and process data for AI workflows and model evaluation.
Deploy and maintain applications on cloud platforms using Docker and CI/CD pipelines.
Improve application performance, security, reliability, and AI output quality.
Collaborate with product, design, and engineering teams to deliver business requirements.
Required Skills and Qualifications
2- 5 years of hands-on software development experience, including full stack development and practical AI/ML integration.
Strong programming skills in Python and JavaScript/TypeScript.
Experience with React or Next.js and at least one backend framework.
Working knowledge of LLMs, prompt engineering, embeddings, and RAG.
Familiarity with machine learning fundamentals and tools such as scikit-learn, PyTorch, or TensorFlow.
Experience with databases such as PostgreSQL, MySQL, or MongoDB.
Understanding of API integration, authentication, Git, testing, and debugging.
Strong problem-solving and communication skills, with the ability to work independently in a remote team.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Good to Have
Experience with LangChain, LangGraph, or similar AI orchestration frameworks.
Familiarity with vector databases such as Pinecone, FAISS, or pgvector.
Experience with AWS, Azure, or Google Cloud.
Exposure to model deployment, monitoring, and MLOps.
A portfolio of deployed AI applications or relevant open-source contributions.
To Apply
Share your resume at DeepanjaliR@aavilabs.com

Work arrangement
Yes