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.

Valuable 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.

Skills:- Artificial Intelligence (AI), Large Language Models (LLM), Fine-tuning LLMs, Retrieval Augmented Generation (RAG), NextJs (Next.js), NodeJS (Node.js) and Python

📌 Applied AI Engineer with Fullstack (India)
🏢 Hashone Careers
📍 India