AI Platform Engineer

Clair Labs; Bengaluru; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Clair Labs in Bengaluru seeks an AI Platform Engineer with 4-6 years' hands-on experience in building AI-driven applications using LLMs and modern AI frameworks. You will design, develop, and deploy GenAI solutions that address real business problems and scale in production.

You will collaborate with product, data science, and engineering teams to build retrieval augmented generation pipelines, AI agents, and secure, scalable cloud deployments, while iterating on models for cost and performance.

Qualifications

• Proven experience building AI-driven applications with LLMs.
• Experience with LangChain, LlamaIndex or similar orchestration frameworks.
• Knowledge of vector databases and retrieval augmented generation (RAG) implementations.
• Experience deploying AI solutions on cloud platforms.
• Familiarity with API/microservice integrations.

Responsibilities

• Design, develop, and deploy applications powered by Large Language Models (LLMs).
• Build and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases.
• Develop AI agents and automation workflows using modern agent frameworks.
• Fine-tune, evaluate, and optimize models for performance, accuracy, and cost efficiency.
• Integrate AI models with enterprise systems through APIs and microservices.
• Implement prompt engineering strategies and guardrails for safe AI usage.
• Work on multimodal AI applications (text, images, and audio) when required.
• Deploy AI solutions on cloud platforms, ensuring scalability and reliability.
• Collaborate with product managers, data scientists, and engineers to deliver AI features.
• Stay updated with the latest advancements in generative AI technologies.

Skills

Python

LLM APIs

LangChain

Vector databases

RAG pipelines

Prompt engineering

REST APIs

Docker

Git

CI/CD

Cloud platforms

Kubernetes (nice to have)

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

Docker

Git

CI/CD pipelines

Job description

We are looking for a highly skilled AI Platform Engineer with 4-6 years of experience in building AI-driven applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate will have hands-on expertise in designing, developing, and deploying GenAI solutions such as chatbots, automation tools, intelligent assistants, and AI-powered workflows that solve real business problems. You will work closely with cross-functional teams to integrate AI capabilities into products and processes, ensuring scalable, secure, and production-ready implementations.

Responsibilities

• Design, develop, and deploy applications powered by Large Language Models (LLMs).
• Build and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases.
• Develop AI agents and automation workflows using modern agent frameworks.
• Fine-tune, evaluate, and optimize models for performance, accuracy, and cost efficiency.
• Integrate AI models with enterprise systems through APIs and microservices.
• Implement prompt engineering strategies and guardrails for safe AI usage.
• Work on multimodal AI applications (text, images, and audio) when required.
• Deploy AI solutions on cloud platforms, ensuring scalability and reliability.
• Collaborate with product managers, data scientists, and engineers to deliver AI features.
• Stay updated with the latest advancements in generative AI technologies.

Requirements

• Strong programming experience in Python.
• Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, etc. ).
• Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Knowledge of Vector Databases (Pinecone, Weaviate, FAISS, Chroma, Milvus).
• Experience in building RAG-based applications.
• Understanding of Prompt Engineering and Model Evaluation Techniques.
• Experience with REST APIs, FastAPI, or Flask.
• Familiarity with Docker, Git, and CI/CD pipelines.

Cloud and Deployment

• Experience with at least one cloud platform: AWS / Azure / GCP.
• Knowledge of Kubernetes (good to have).
• Knowledge of serverless deployment.
• Knowledge of model monitoring tools.

Preferred Skills (Good to Have)

• Experience building AI agents / autonomous systems.
• Knowledge of MLOps / LLMOps practices.
• Experience with speech-to-text/text-to-speech systems.
• Frontend integration knowledge (React / Streamlit / Next.js ).
• Experience working with enterprise data systems and databases (SQL / NoSQL).
• Understanding of AI safety, governance, and responsible AI principles.
• Bachelor's or master's of technology degree in computer science, artificial intelligence, data science, engineering, or a related field.