Software Engineer Bengaluru, Karnataka, India

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.

At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity.

The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.

We are seeking a Staff Software Engineer to act as a technical leader and strategic force multiplier across our engineering organization. In this role, you will define architectural direction, lead large-scale technical initiatives, and elevate engineering standards across teams.

You will play a pivotal role in shaping our AI strategy
, designing the architectural foundations that enable secure, scalable, and production-grade AI capabilities. As a trusted technical advisor to engineering leadership, you will drive innovation at the intersection of enterprise SaaS platforms and AI-powered systems
.

Architect and lead complex, multi-team systems spanning the entire product portfolio

Define and drive the organization’s AI architecture, governance frameworks, and integration standards

Establish architectural patterns and technical direction for scalable SaaS and AI systems

Design and standardize MCP servers, AI integration patterns, and agentic workflows across products

Own end-to-end delivery of critical, company-wide technical initiatives

Define and enforce security, Dev Ops, and observability standards for AI-enabled systems

Partner with Product, Dev Ops, and Security teams to shape long-term technical roadmaps

Mentor engineers at all levels on system design, AI best practices, and architecture

Lead incident response for critical systems and drive post-incident improvements

Anticipate emerging AI trends, regulations, and platform shifts
, and adapt strategy proactively

8+ years of software engineering experience with a strong track record of architecting large-scale, distributed systems

2+ years of hands-on, production AI/ML experience
, building and deploying AI-powered features and platforms at scale

Backend:
Node.js
, Type Script , .NET (C# – good to have)

Frontend:
React

Strong understanding of modern SaaS and cloud-native architectures

Python expertise with deep familiarity in the AI/ML ecosystem

Experience with
MCP Servers and AI tool orchestration

Hands-on experience with AWS Bedrock and enterprise AI deployments

Frameworks & orchestration:
Lang Graph
, Semantic Kernel

Strong experience with Vector Databases (indexing, scaling, hybrid search)

Advanced expertise in:

Retrieval-Augmented Generation (RAG)

LLM integration and fine-tuning

Multi-agent and agentic AI systems

Strong AI literacy: understanding of model capabilities, limitations, safety, and governance

Proven expertise in distributed systems, microservices, and cloud-native patterns

Ability to make long-term architectural decisions balancing scale, reliability, and maintainability

Designs systems with a strong focus on performance, observability, and evolution

Owns delivery across the entire SDLC
, from design to production

Mentors engineers across teams and seniority levels

Drives alignment and consensus across diverse technical and business stakeholders

Elevates engineering culture…