AI Developer – LLM Engineer

Location: Chennai

Experience: 4-7 Years

Role Overview

We are seeking a skilled AI Developer / LLM Engineer to design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs). The ideal candidate should have strong expertise in Python, experience working with modern AI frameworks, and exposure to DevOps, CI/CD pipelines, and cloud-based deployments.

Key Responsibilities

- Design, develop, and optimize AI/ML applications using Large Language Models (LLMs).
- Build and integrate Generative AI solutions using frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Azure OpenAI, or similar platforms.
- Develop and maintain backend services and APIs in Python.
- Implement Retrieval-Augmented Generation (RAG), prompt engineering, model fine-tuning, and vector database integrations.
- Evaluate, test, and improve model performance, accuracy, and scalability.
- Deploy AI applications in cloud environments and manage production workloads.
- Collaborate with cross-functional teams including Data Science, Platform Engineering, DevOps, and Product teams.
- Automate deployment processes using CI/CD pipelines and DevOps best practices.
- Monitor, troubleshoot, and optimize AI systems in production environments.

Required Skills

- Solid programming experience in Python.
- Hands-on experience with LLMs, Generative AI, NLP, and Prompt Engineering.
- Experience with AI frameworks such as LangChain, LlamaIndex,



Hugging Face Transformers, OpenAI, Azure OpenAI, etc.
- Knowledge of RAG architectures, vector databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus).
- Experience in developing REST APIs using FastAPI, Flask, or Django.
- Familiarity with machine learning lifecycle and model deployment.

DevOps & CI/CD Requirements
- Exposure to DevOps practices and CI/CD pipelines.
- Experience with tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar.
- Knowledge of Docker, Kubernetes, and containerized deployments.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Understanding of monitoring, logging, and deployment automation.

Preferred Qualifications
- Experience fine-tuning open-source LLMs.
- Knowledge of MLOps tools and workflows.
- Experience working with distributed systems and scalable AI applications.
- Understanding of security, governance, and responsible AI practices.
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields.

Nice to Have
- Experience with AI agents and autonomous workflows.
- Knowledge of vector search and semantic retrieval techniques.
- Experience with model evaluation frameworks and observability tools.

If you are passionate about building next-generation AI solutions using LLMs and have strong Python development skills along with DevOps exposure, we'd love to hear from you.

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