Python AI Engineer
Citi (company site, opens in a new tab)3–6 yrsPuneHybridDirect career pageEst. 14–28 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Assist in building and integrating generative AI applications using pre-trained and hosted foundation models with managed GenAI APIs and open-model endpoints.
- Support implementation of context engineering and prompt engineering workflows to create reliable, token-efficient prompts and AI-powered features.
- Contribute to development and maintenance of Retrieval-Augmented Generation (RAG), knowledge graph pipelines, agentic workflows, and related AI application deployment and monitoring.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- 3–6 years professional experience in software/AI development with exposure to Generative AI and agentic AI.
- Proficiency in Python and practical experience with RAG systems, prompt engineering, and GenAI API consumption (e.g., OpenAI, Gemini, Claude).
- Familiarity with AI deployment tools like Docker and version control with Git; explicit exposure to context engineering and agentic AI tools/protocols (e.g., Google ADK, LangGraph) required.
Ideal Candidate Profile
- Experienced working in collaborative AI development teams contributing to practical GenAI or AI projects involving pre-trained foundation models rather than developing new models.
- Comfortable applying established GenAI integration patterns including context engineering, RAG, prompt engineering, and agentic workflows under guidance, progressing towards independent ownership.
- Familiar with modern AI tooling, frameworks, and protocols supporting agentic and retrieval-augmented AI capabilities in production environments.