Machine Learning Hardware Engineer

Most Important Skills / Responsibilities :

• Lead RAG Architecture Design – Define and implement best practices for retrieval-augmented generation systems, ensuring reliability, scalability, and low-latency performance.
• Full-Stack AI Development – Build and optimize multi-stage pipelines using LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, or custom).
• Programming & Integration – Develop services and APIs in Python and Golang to support AI workflows, document ingestion, and retrieval processes.
• Search & Retrieval Optimization – Implement hybrid search, vector embeddings, and semantic ranking strategies to improve contextual accuracy.
• Prompt Engineering – Design and iterate on few-shot, chain-of-thought, and tool-augmented prompts for domain-specific applications.
• Strong proficiency in Python and Golang or RUST, with experience building high-performance services and APIs.
• Need experience in developing end-to-end projects ->

backend software(RAG / GenAI, text / image, model improvement, scoring) ->

AWS / databricks(deployment) ->

endpoint ->

chatbot

Key Responsibilities

Qualifications

Must Have :

Preferred :

Soft Skills