Senior AI Engineer

IN1 Finastra Software Solutions (India) Private Limited; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Unlimited vacation

Hybrid working arrangements

Paid time off for voting, bereavement,

Health and disability insurance

Pension plan

Volunteer time off

Inclusion networks and wellbeing

Career development and certifications

Recognition program

Job summary

Finastra is seeking a Senior AI Engineer in Bengaluru to design, implement, and deploy cutting‑edge AI solutions powered by large language models (LLMs). You will build production‑grade AI agents, apply prompt engineering, and deploy on cloud platforms while ensuring security and governance.

The role involves scalable orchestration, observability, and integration with enterprise services. You will work in a hybrid setup, collaborating with agile teams to deliver innovative AI capabilities across

Qualifications

• Proficient in Python for AI/ML development.
• Understanding of LLM fundamentals, capabilities and limitations.
• Knowledge of prompt engineering and context engineering.
• Hands-on experience with LangChain, LangGraph, CrewAI or similar.
• Familiarity with vector stores (Pinecone, Weaviate, ChromaDB, FAISS) for embeddings and retrieval.
• Experience with Git workflows and CI/CD practices.
• Experience in Agile/Scrum environments.
• Awareness of AI security concepts (RBAC/ABAC, data leakage prevention).
• Exposure to MCP or similar tool integration/orchestration frameworks.

Responsibilities

• Design, implement, and deploy AI architectures (RAG, text-to-SQL, multi-agent)
• Build end-to-end production-grade AI agents and integrate into applications
• Apply prompt and context engineering to optimize LLM performance
• Implement function calling and tool usage patterns for agentic workflows
• Develop AI workflows using LangChain/LangGraph or equivalent
• Deploy LLM solutions on Azure OpenAI, AWS Bedrock, or similar
• Ensure observability, monitoring, and cost control of AI systems
• Automate model deployment and orchestration via CI/CD
• Benchmark, document, and evaluate models
• Design MCP integrations and tool orchestration for scalable AI systems
• Build secure tool invocation and multi-system orchestration across enterprise services
• Enforce data governance, PII handling, and access controls for AI tools
• Ensure deployments meet governance and compliance standards

Skills

Python for AI/ML

LLM fundamentals

Prompt engineering

Context engineering

Agile/Scrum teamwork

Problem solving

AI-assisted development tooling

AI system security

Tools

LangChain

LangGraph

CrewAI

Pinecone

Weaviate

ChromaDB

FAISS

GitHub

CI/CD pipelines

RBAC/ABAC tooling

Job description

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

Benefits

• 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.
• Our perks include paid holidays, flexible working hours, a pension plan, and comprehensive health initiatives.

We are proud of the wide range of incentives and benefits we offer our employees globally, reflecting the values we stand for: we encourage inclusive communities and open participation.

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.

We believe growth is a shared commitment. That’s why we offer a rich ecosystem of learning—from hands‑on training and mentorship to leadership development and industry certifications. Empowered to lead, challenge, and create meaningful change, we nurture individual and collective innovation.

Because when we grow together, we innovate together—and that’s how we shape what’s next in finance.

We offer incredible career opportunities and your work in close collaboration with fantastic colleagues globally to develop and launch innovative software solutions for our customers. There is a huge range of engaging projects where you can get stuck‑in and add value whilst taking advantage of our ongoing development opportunities to build and hone your skills in your chosen area.

With us, you can grow, innovate, and make a real impact. At Finastra, we are proud of the wide range of incentives and benefits we offer our employees globally, reflecting our core values: doing well by doing good, putting people first, and open opportunities. We go beyond statutory requirements to maximise our offerings, investing in flexible working policies, personal growth opportunities, and well‑being programmes.

Highlights include our Flexible Vacation Policy, inclusive people policies, hybrid working framework, and comprehensive well‑being support through initiatives like the Employee Assistance Program, the wellbeing Champions and our monthly events and initiatives. Additionally, we emphasise sustainability through volunteering time off and donation matching, champion inclusion through multiple employee networks and cultural initiatives, and invest heavily in career and skills development.

Recognition of our employees' efforts is integral, with our global recognition platform and regular employee feedback surveys shaping our inclusive and supportive workplace culture.

We are committed to creating a workplace where you feel valued and respected. We believe this environment drives innovation and we strive to build a team that reflects the varied backgrounds, perspectives, and experiences of our global ecosystem. This philosophy is at the heart of our culture and the way we work.

The company privacy policy can be found here Finastra Privacy Policy