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AI/ML Engineer (NLP, LLM, Agents)

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Job Description

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.

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About Company

Job ID: 116678459

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