Dash Technologies Inc · GJ, India
Skills: React, Next.js, Python, SQL, AWS, Docker, CI/CD
Role Overview -----------------
We are looking for an AI Engineer — GenAI, RAG & Backend with 3–4 years of software engineering experience and hands-on exposure to Generative AI, LLM applications, RAG, APIs, and AI-agent workflows.
The candidate will work closely with the Senior AI/ML Engineer and AI Architect to develop, integrate, test, and deploy enterprise-grade AI applications.
The ideal candidate should have a strong foundation in Python backend development and practical knowledge of modern GenAI technologies.
Key Responsibilities ------------------------
Develop and maintain Generative AI applications using Python and LLM APIs. Build and enhance RAG pipelines using embeddings, vector databases, retrieval, and contextual generation. Develop backend services and APIs using Python, FastAPI, and REST APIs. Integrate LLM providers such as OpenAI, Azure OpenAI, Anthropic, and Gemini. Implement prompt engineering techniques for reliable and consistent LLM responses. Develop basic AI-agent and tool-calling workflows under the guidance of senior engineers. Work with vector databases for semantic search and knowledge retrieval. Design and implement database integrations using PostgreSQL. Write reusable, maintainable, and well-tested Python code. Containerize applications using Docker and support cloud deployment. Troubleshoot API, LLM, RAG, and application-level issues. Participate in code reviews, technical discussions, testing, and documentation. Work with the Senior Engineer and AI Architect to implement technical designs and AI workflows. Perform POCs and evaluate new GenAI technologies when required. Monitor and improve application performance, reliability, response quality, and LLM usage costs.
Must-Have Skills --------------------
Programming & Backend
Python — strong hands-on experience FastAPI REST API development Experience developing backend applications Understanding of A …truncated… Retrieval-Augmented Generation (RAG) Embeddings Semantic search Vector databases D…
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