AI Engineer

Overview

As an AI Engineer, build and integrate modern artificial intelligence capabilities that support scalable, secure, and production-ready applications. Work with engineering, platform, and product teams to develop large language model integrations, retrieval-augmented generation pipelines, and agentic workflows.

What you'll do

• Design and implement integrations with large language model APIs such as Claude, GPT, Gemini, or similar model platforms.
• Build and support Model Context Protocol integrations and related orchestration patterns that improve context handling and interoperability across AI-enabled applications.
• Develop agentic workflows and AI application frameworks using tools such as LangChain, LlamaIndex, CrewAI, or similar orchestration frameworks.
• Design, implement, and optimize retrieval-augmented generation pipelines, including embeddings, vector stores, retrieval logic, and response grounding techniques.
• Build backend services and APIs using Python, asynchronous programming techniques, FastAPI, or similar frameworks to support scalable AI application delivery.
• Partner with product, engineering, and platform teams to translate business needs into technical AI solutions that are measurable, maintainable, and production-ready.
• Evaluate and improve application reliability, performance, observability, and security across AI workflows and integrated services.
• Support engineering productivity through modern development workflows and tools such as Cursor, Claude Code, or similar assisted development environments.
• Contribute to testing, validation, and continuous improvement of AI-enabled applications, ensuring solution quality and operational readiness.

What you'll need

• 7+ years of experience in software engineering, machine learning engineering, artificial intelligence engineering, or related development roles building production applications.
• Experience integrating large language model APIs such as Claude, GPT, Gemini, or similar generative AI platforms into applications or services.
• Experience building agentic workflows or orchestration frameworks using LangChain, LlamaIndex, CrewAI, or similar tools.
• Experience developing retrieval-augmented generation pipelines including embeddings, vector databases, retrieval strategies, and prompt grounding approaches.
• Experience with Python, asynchronous programming, FastAPI, or similar backend development frameworks used to deliver scalable APIs and services.
• Experience working with application integration patterns, testing approaches, and engineering practices that support reliable and maintainable AI solutions.
• Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Information Systems, or related field or equivalent combination of education, related experience and/or military experience.

Nice to have

• Experience with Model Context Protocol implementations or similar context-sharing and orchestration standards.
• Experience with observability, monitoring, and evaluation techniques for AI applications in production environments.
• Experience with prompt engineering, model behavior testing, and AI safety or governance practices.
• Experience using modern AI-assisted developer workflows such as Cursor, Claude Code, or similar tools.

Details

• Location: Bengaluru, India.
• This role is on-site Monday through Friday.
• In-person collaboration is an essential part of this role.