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.