Genai Developer

We are looking for an enthusiastic **Generative AI Developer** to join our Controls Technology team and support the development and integration of generative AI solutions. In this hands-on role, you will work under the guidance of senior developers and AI architects to help build retrieval-grounded, context-aware, and increasingly **agentic** AI applications. You will contribute to reliable, AI-driven features while growing your expertise across the modern GenAI stack. This role focuses on **applying pre-trained and hosted foundation models** — through context engineering, RAG, knowledge graphs, and agentic workflows — rather than training or fine-tuning models. This is a growth-oriented role: you'll take ownership of well-scoped components, learn established patterns from senior engineers, and progressively increase your technical depth and independence. Key Responsibilities ==================== * Assist in building and integrating generative AI applications using pre-trained and hosted foundation models (via managed GenAI APIs and open-model endpoints). * Support the implementation of **context engineering** workflows — assembling system instructions, retrieved knowledge, tool definitions, and conversation memory into reliable, token-efficient prompts, following established patterns. * Contribute to **prompt engineering** (zero-shot, few-shot, chain-of-thought, role-based prompting) for AI-powered workflows. * Help develop and maintain **Retrieval-Augmented Generation (RAG)** components, including chunking, embedding, and semantic/keyword search. * Support the development of **knowledge graph** and **Graph RAG** pipelines under guidance to enable grounded, traceable responses. * Contribute to **agentic workflows** — helping build AI agents with tool-calling and basic planning/memory, using frameworks such as **Google Agent Development Kit (ADK)**, LangGraph, or CrewAI. * Assist with integrating agents to external tools and data sources via the **Model Context Protocol (MCP)**, with exposure to the **Agent2Agent (A2A)** protocol. * Support the deployment, monitoring, and maintenance of GenAI and agentic applications in production environments. * Perform **data preprocessing, document ingestion, and basic API development** for AI applications. * Collaborate with data scientists and engineers to integrate AI capabilities into products. * Participate in code reviews, testing, and documentation to ensure quality and reliability. * Stay curious about advancements in GenAI and agentic AI, and share learnings with the team. Required Technical Skills ========================= * Proficiency in **Python** for GenAI development, data preprocessing, and scripting. * Solid understanding of **core generative AI concepts** — foundation models, LLMs, tokenization, embeddings, and context windows. * Hands-on experience with **prompt engineering**; foundational understanding of **context engineering** techniques. * Practical experience (project or professional) building **RAG systems**, including chunking, vector databases, and semantic search. * Familiarity with **knowledge graphs** and interest in **Graph RAG** for relationship-aware retrieval. * Exposure to **agentic AI development** — building tool-using agents or multi-step workflows with a framework such as **Google ADK**, LangGraph, CrewAI, or the OpenAI Agents SDK. * Awareness of **agent tooling and protocols**, including tool/function calling and the **Model Context Protocol (MCP)**; familiarity with the **A2A** protocol is a plus. * Basic understanding of **agent harness** concepts — session/state management, memory, and guardrails. * Experience consuming **major GenAI APIs** (e.g., OpenAI, Gemini, Claude) and exposure to orchestration frameworks such as **LangChain** or **LlamaIndex**. * Understanding of application deployment and containerization (**Docker**). * Working knowledge of version control systems (**Git**). * Awareness of AI compliance, data privacy, guardrails, and responsible AI principles. Required Soft Skills ==================== * Strong teamwork and communication abilities. * Eagerness to learn new AI/GenAI and agentic technologies and frameworks. * Analytical mindset and attention to detail. * Openness to feedback, coaching, and continuous improvement. Qualifications ============== * Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. * **4+ years of experience with min 2–4 years** of professional experience in software/AI development, with **exposure to** Generative AI and agentic AI. * Experience contributing to AI/GenAI or software projects in a collaborative team setting. * Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus. \------------------------------------------------------ **Job Family Group:** --------------------- Technology \------------------------------------------------------ **Job Family:** --------------- Applications Development \------------------------------------------------------ **Time Type:** -------------- Full time \------------------------------------------------------ **Most Relevant Skills** ------------------------ Please see the requirements listed above. \------------------------------------------------------ **Other Relevant Skills** ------------------------- For complementary skills, please see above and/or contact the recruiter. \------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _[Accessibility at Citi](https://www.citigroup.com/citi/accessibility/application-accessibility.htm)._ _View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster._