Bangalore, Karnataka, India
Information Technology
Full-Time
CCS Technologies IT (P) Ltd.
Overview
About CCS
CCS Technologies has decades of experience delivering technology-driven solutions for their customers. Based out of Kerala, India and with offices in the US and Middle East, we are on a growth path like never before. Working alongside a close-knit team with tremendous exposure to various technologies, this is a place where you will have plenty of opportunities to learn, contribute, and grow!
What you can expect from the job
As a Mid-Level AI Engineer focused on Large Language Model (LLM) development, you will:
Build and optimize LLM-powered applications using LangChain, CrewAI, and other orchestration tools.
Implement context management protocols to improve model memory and performance.
Design and deploy user-friendly interfaces using OpenWebUI for interacting with LLMs.
Prepare and manage datasets for training, fine-tuning, and inference.
Integrate vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) pipelines.
Collaborate with cross-functional teams on prompt engineering, agent workflows, and intelligent automation.
Stay current with the latest developments in LLMs, open-source tools, and AI research.
Contribute to scalable, ethical, and production-ready AI systems.
What will help you do the job well
Must-have Skills/ Characteristics
4–6 years of experience in AI/ML engineering, with a focus on NLP or LLMs.
Strong proficiency in Python and experience with frameworks like LangChain, CrewAI, and Transformers (Hugging Face).
Hands-on experience with OpenWebUI for deploying and managing LLM interfaces.
Solid understanding of model context protocols, token limits, and memory handling.
Experience in data preparation, including cleaning, labeling, and formatting for LLM workflows.
Familiarity with vector databases, embedding models, and retrieval systems.
A collaborative mindset and the ability to work in fast-paced, agile environments.
Other Desirable Skills/characteristics
Experience with agent-based architectures and multi-agent coordination.
Knowledge of LLMOps, model deployment, and monitoring tools.
Familiarity with Microsoft Copilot and its integration into enterprise workflows.
Contributions to open-source AI projects or research publications.
Knowledge if ISMS Principles and best practices.
Willingness to Travel domestic/international.
Thank you for your interest with CCS. We hope you find a meaningful career! Please send your profiles to careers@ccs-technologies.com
We will – Trust, Recognize, Care
You will – Learn, Contribute, Grow
CCS Technologies has decades of experience delivering technology-driven solutions for their customers. Based out of Kerala, India and with offices in the US and Middle East, we are on a growth path like never before. Working alongside a close-knit team with tremendous exposure to various technologies, this is a place where you will have plenty of opportunities to learn, contribute, and grow!
What you can expect from the job
As a Mid-Level AI Engineer focused on Large Language Model (LLM) development, you will:
Build and optimize LLM-powered applications using LangChain, CrewAI, and other orchestration tools.
Implement context management protocols to improve model memory and performance.
Design and deploy user-friendly interfaces using OpenWebUI for interacting with LLMs.
Prepare and manage datasets for training, fine-tuning, and inference.
Integrate vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) pipelines.
Collaborate with cross-functional teams on prompt engineering, agent workflows, and intelligent automation.
Stay current with the latest developments in LLMs, open-source tools, and AI research.
Contribute to scalable, ethical, and production-ready AI systems.
What will help you do the job well
Must-have Skills/ Characteristics
4–6 years of experience in AI/ML engineering, with a focus on NLP or LLMs.
Strong proficiency in Python and experience with frameworks like LangChain, CrewAI, and Transformers (Hugging Face).
Hands-on experience with OpenWebUI for deploying and managing LLM interfaces.
Solid understanding of model context protocols, token limits, and memory handling.
Experience in data preparation, including cleaning, labeling, and formatting for LLM workflows.
Familiarity with vector databases, embedding models, and retrieval systems.
A collaborative mindset and the ability to work in fast-paced, agile environments.
Other Desirable Skills/characteristics
Experience with agent-based architectures and multi-agent coordination.
Knowledge of LLMOps, model deployment, and monitoring tools.
Familiarity with Microsoft Copilot and its integration into enterprise workflows.
Contributions to open-source AI projects or research publications.
Knowledge if ISMS Principles and best practices.
Willingness to Travel domestic/international.
Thank you for your interest with CCS. We hope you find a meaningful career! Please send your profiles to careers@ccs-technologies.com
We will – Trust, Recognize, Care
You will – Learn, Contribute, Grow
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