AI/ML Engineer (NLP, LLM, Agents)

🚀 AI Engineer (Backend & NLP) – Mid-Level | South Guild Tech | Coimbatore (On-site) 🚀 At South Guild Tech , we build AI platforms that redefine enterprise workflows across industries like healthcare, audit, and industrial automation . Our work involves developing high-performance AI-driven applications , leveraging cutting-edge NLP models , and optimizing retrieval systems to deliver intelligent automation at scale. We are looking for a Mid-Level AI Engineer (Backend & NLP) to join our team and help build the next generation of AI-powered knowledge automation tools, AI agents, and scalable backend systems . 📍 Location: Coimbatore (On-site) 💼 Experience: 2-4 years 🕒 Type: Full-time 🚀 Why Join South Guild Tech? At South Guild Tech, we don’t just build AI—we engineer the future of enterprise AI automation. 🌟 AI-First Innovation – Work on cutting-edge LLM applications, knowledge automation, and intelligent retrieval systems. 🔐 Security & Scalability – Develop self-hosted, mission-critical AI platforms with a focus on privacy. 🧠 Deep Engineering Culture – Solve challenging problems in AI, backend infrastructure, and distributed computing. 🌍 Real-World Impact – See your AI solutions power healthcare, finance, and industrial automation. 🎯 Key Responsibilities: 🔹 Design & Develop AI-Driven Retrieval Systems: Implement modern information retrieval techniques , including BM25, TF-IDF, dense vector search, and hybrid search using tools like FAISS, Pinecone, or Weaviate . Build retrieval-augmented generation (RAG) pipelines for knowledge-based AI applications. 🔹 Natural Language Processing & AI Engineering: Work with LLMs, transformers, and embedding models for NLP applications. Optimize text processing, named entity recognition (NER), text classification, and summarization tasks. Implement fine-tuning and prompt engineering strategies for LLM-powered solutions. 🔹 Backend & API Development: Develop scalable backend architectures for AI-driven applications. Design and maintain APIs, microservices, and data pipelines for AI integration. Optimize performance, security, and scalability of AI backends. 🔹 Data Engineering & Processing: Build ETL pipelines and real-time data integration workflows . Work with SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, etc.) to store and manage AI-related data. 🔹 AI Agent Development & Orchestration: Implement AI agentic frameworks like LangChain, AutoGen, or similar . Build multi-step AI workflows, decision trees, and context-aware agent architectures . 🔹 Collaboration & Innovation: Work closely with data scientists, ML engineers, and backend developers to integrate AI capabilities. Stay updated with the latest trends in AI, retrieval systems, and backend optimizations . 🔍 What We’re Looking For: ✅ Strong expertise in retrieval methods – from traditional search techniques ( regex, BM25 ) to vector-based retrieval . ✅ Hands-on experience with LLMs, embeddings, and transformer-based models . ✅ Proficiency in Python and backend development frameworks ( FastAPI, Flask, Django ). ✅ Experience with AI agentic frameworks like LangChain, AutoGen, or similar . ✅ Solid knowledge of SQL & NoSQL databases (PostgreSQL, MongoDB, Redis). ✅ Understanding of data processing pipelines , ETL workflows, and real-time data integration. ✅ Ability to solve complex AI problems and optimize large-scale AI applications. ⭐ Bonus: Research/publications in NLP, AI retrieval, or related fields. Show more Show less