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 AIwe 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.