• Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc)

• Create end-to-end production grade AI agents and integrate them into applications

• Apply prompt engineering and context engineering techniques to optimize LLM performance

• Implement function calling and tool use patterns for agentic workflows

• Build and maintain AI workflows and pipelines using LangChain/LangGraph or equivalent

• Deploy and manage LLM solutions on Azure OpenAI, AWS Bedrock, or similar cloud platforms

• Implement observability and monitoring for AI systems to track performance, costs, and reliability

• Automate model deployment and orchestration using CI/CD pipelines

• Evaluate, benchmark, and document models

Required Skills & Experience:

• Programming: Strong proficiency in Python for AI/ML development

• LLM Fundamentals: Understanding of large language models, their inner workings, capabilities, and limitations

• AI Engineering Techniques: Knowledge of prompt engineering, context engineering, AI agent patterns (RAG, text-to-sql, etx)

• AI Frameworks: Hands-on experience with at least one framework: LangChain, LangGraph, CrewAI, or similar

• Vector Databases: Familiarity with vector stores (Pinecone, Weaviate, ChromaDB, FAISS, etc.) for embeddings and retrieval

• Software Development: Understanding of Git workflows, version control with GitHub, and software development best practices

• Collaboration: Experience working in Agile/Scrum teams with sprint-based development

• Strong problem-solving skills and ability to learn new technologies quickly

• Exposure to AI-assisted development tooling (e.g. GitHub CoPilot, Claude Code, Cursor, or equivalent)

We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we stand for:

Flexibility: Enjoy unlimited vacation, subject to local regulations and business priorities. Benefit from hybrid working arrangements and inclusive policies such as paid time off for voting, bereavement, and sick leave.

Well‑being: Access confidential one‑to‑one support through our Employee Assistance Program, connect with our network of Wellbeing Champions and Gather Groups, and take part in monthly events and initiatives designed to help you thrive—inside and outside of work.

Health & Financial Security: Medical, life and disability insurance, retirement plans, lifestyle, and other benefits.*

Sustainability: Paid time off for volunteering and donation‑matching opportunities to support causes that matter to you.

Inclusion: Get involved in our inclusion communities, such as Count Me In, Culture[redacted], Proud[redacted], Disabilities[redacted], and Women[redacted]—open to everyone who wants to participate and contribute.

Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.

Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee surveys that help shape our culture and ways of working.

*Specific benefits may vary by location.

Applicants for this position need to be located in posted location or their immediate surrounding areas. Due to the requirements of this position, this job posting is not available for, and Finastra will not be considering any applicants who currently reside in New York City or California.