
Senior AI Engineer
Finastra · Bengaluru · Hybrid
- Financial Services & Banking
- 5,001–10,000 employees
- Paddington, London
Mixed hiring record · median 36 days open
All reasons
- 41% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
Who are we?
At Finastra, we’re a global leader in financial services software, dedicated to expanding access to financial services and shaping what’s next for the industry. Our technology powers mission‑critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries.
What will you contribute?
We are seeking a motivated Senior AI Engineer to design, implement, and deploy cutting-edge AI solutions powered by large language models (LLMs).
Responsibilities & Deliverables
- 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
- Design and implement Model Context Protocol (MCP) integrations and tool orchestration frameworks for scalable agentic systems
- Build secure tool invocation and multi-system orchestration pipelines across enterprise services
- Implement security controls for AI systems, including data access governance, PII handling, and safe tool usage
- Ensure secure and compliant AI deployments aligned with enterprise and regulatory standards
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)
- Experience with MCP (Model Context Protocol) or similar tool integration/orchestration frameworks
Strong understanding of AI system security, including
o Prompt injection risks
o Data leakage prevention
o Access control (RBAC/ABAC) for tools and data
- Experience building secure, enterprise-grade AI solutions with governance and compliance considerations
Nice to have
- Experience with enterprise AI platforms, multi-agent systems, or internal tool ecosystems
- Familiarity with auditability, observability, and evaluation frameworks for LLMs
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@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—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.
At Finastra, each individual is unique—bringing their own ideas, perspectives, cultural backgrounds, and experiences. We learn from one another, value what makes us different, and create an environment where everyone feels included, supported, and able to be their authentic selves.
Be unique. Be exceptional. Help us make a difference at Finastra.
Skills
- LLM
- Retrieval-Augmented Generation
- Prompt Engineering
- LangChain
- LangGraph
- Azure OpenAI
- Bedrock
- Model Context Protocol
- Python
- CrewAI
- Vector Databases
- Pinecone
- Weaviate
- Chroma
- FAISS
- Embeddings
- Git
- GitHub
- GitHub Copilot
- Claude Code
- Cursor
- RBAC
- ABAC
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