AI Engineer – Large Language Models

HypTechie; Ernakulam; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

CCS Technologies, based in Kerala, India, seeks a Mid-Level AI Engineer with 4-6 years of experience in NLP/LLMs to build and optimize LLM-powered applications. You will design advanced workflows and deploy scalable AI systems for real-world use cases.

You will collaborate on prompt engineering, agent workflows, and intelligent automation, ensuring production-ready, ethical AI solutions while staying current with the latest LLM developments.

Qualifications

• 4–6 years of experience in AI/ML engineering with a focus on NLP or LLMs.
• Proficiency in Python and experience with LangChain, CrewAI, and Hugging Face Transformers.
• Hands-on experience with OpenWebUI for deploying and managing LLMs.
• Deep understanding of context protocols, token limits, and memory optimization.

Responsibilities

• Build and optimize LLM-based applications using LangChain, CrewAI, and similar tools.
• Implement context management protocols to enhance model memory and performance.
• Design and deploy user-friendly AI interfaces with OpenWebUI.
• Prepare, clean, and manage datasets for training, fine-tuning, and inference.
• Integrate vector databases (FAISS, Pinecone) and retrieval-augmented generation pipelines.
• Collaborate on prompt engineering, agent workflows, and intelligent automation.
• Stay updated with advancements in LLMs, AI tools, and research.
• Contribute to scalable, ethical, production-ready AI systems.

Skills

NLP & LLMs

Prompt engineering

Agile teamwork

Tools

LangChain

CrewAI

Hugging Face Transformers

OpenWebUI

Job description

Location: Kerala, India

Experience: 4–6 Years

Department: AI/ML Engineering

Employment Type: Full-Time, Permanent

About CCS Technologies

CCS Technologies is a fast-growing IT solutions provider with decades of experience delivering technology-driven business solutions. Headquartered in Kerala, with offices in the US and Middle East, CCS is on a growth trajectory like never before. At CCS, you’ll work in a close-knit, collaborative team, gaining exposure to cutting-edge technologies and the opportunity to learn, innovate, and grow.

Role Overview

We are looking for a Mid-Level AI Engineer with expertise in Large Language Models (LLMs) to join our dynamic team. The role involves building and optimizing LLM-powered applications, designing advanced workflows, and deploying scalable AI systems for real-world use cases.

Key Responsibilities

• Build and optimize LLM-based applications using LangChain, CrewAI, and similar orchestration tools.
• Implement context management protocols to enhance model memory and overall performance.
• Design and deploy user-friendly AI interfaces with OpenWebUI.
• Prepare, clean, and manage datasets for training, fine-tuning, and inference.
• Integrate vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG) pipelines.
• Collaborate with teams on prompt engineering, agent workflows, and intelligent automation.
• Stay updated with the latest advancements in LLMs, AI tools, and research.
• Contribute to the development of scalable, ethical, and production-ready AI systems.

Required Skills & Experience

• 4–6 years of experience in AI/ML engineering, with a strong focus on NLP or LLMs.
• Proficiency in Python and experience with LangChain, CrewAI, and Hugging Face Transformers.
• Hands‑on experience with OpenWebUI for deploying and managing LLMs.
• Deep understanding of model context protocols, token limits, and memory optimization.
• Strong experience in data preparation, cleaning, labeling, and formatting for LLM workflows.
• Familiarity with vector databases, embedding models, and retrieval systems.
• Collaborative mindset, problem‑solving ability, and adaptability to agile environments.

Preferred / Desirable Skills

• Experience with agent‑based architectures and multi‑agent coordination.
• Knowledge of LLMOps, deployment, and monitoring tools.
• Familiarity with Microsoft Copilot and enterprise integrations.
• Contributions to open‑source AI projects or research publications.
• Knowledge of ISMS principles and best practices.
• Willingness to travel (domestic/international) as required.