20 hours ago
Base Salary
$114k - $171k/yr
Responsibilities
- Collaborate with AI architects, engineering leads, and business stakeholders to design and implement generative and agentic AI solutions.
- Architect context engineering strategies including context layering, chaining, compression, pruning, offloading, and memory management.
- Design prompt engineering, RAG, hybrid search, multi-vector retrieval, re-ranking, knowledge graph, and Graph RAG systems.
- Build agentic workflows and multi-agent systems using Google ADK and comparable frameworks, including supervisor/worker, hierarchical, and peer-to-peer orchestration.
- Develop agent harnesses covering governance, constraints, feedback loops, state and session management, execution controls, isolation, and sandboxing.
- Integrate agents with tools and data through MCP and coordinate inter-agent collaboration through A2A.
- Support production deployment, scalability, observability, maintainability, and real-time or streaming AI solutions.
- Ensure ethical AI, guardrails, data privacy, compliance, and responsible AI practices.
- Mentor junior team members, conduct code reviews, and share advances in generative and agentic AI.
Requirements
- 5–7 years of experience in AI or software development, including significant generative AI and agentic AI experience.
- Portfolio of successful AI-driven projects delivered in a business environment.
- Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field.
- Hands-on expertise in foundation models, LLMs, embeddings, tokenization, context-window management, prompt engineering, and context engineering.
- Strong experience building RAG systems, hybrid search, multi-vector retrieval, vector databases, and embedding-based retrieval.
- Practical knowledge graph and Graph RAG experience, including graph databases such as Neo4j or ArangoDB.
- Experience with Google ADK or comparable agent frameworks, tool and function calling, planning, memory, and multi-agent orchestration.
- Experience with MCP, A2A, agent observability, evaluation, tracing, and OpenTelemetry-based tooling.
- Proficiency with OpenAI, Gemini, and Claude APIs, LangChain, LlamaIndex, and NLP techniques including NER, dependency parsing, text classification, and topic modeling.
- Experience with AWS or equivalent cloud infrastructure, Docker, Kubernetes, CI/CD pipelines, data preprocessing, document ingestion, API development, and Python.
- Strong collaboration, communication, analytical problem-solving, proactive learning, innovation, and mentoring skills.
Benefits
- Primary location is Tampa, Florida, United States, with full-time employment.
- Base salary range is $113,840.00–$170,760.00, excluding additional incentive and retention awards.
- Benefits may include medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; wellness programs; vacation, sick leave, and paid holidays.
- Citi provides equal employment opportunity and accessibility support for applicants with disabilities.
Tech Stack
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.