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Senior Software Engineer Bengaluru, Karnataka, India

Job in Vancouver, Clark County, Washington, 98662, USA
Listing for: Diligent Corporation
Full Time position
Listed on 2026-01-14
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Machine Learning/ ML Engineer, Software Architect
Job Description & How to Apply Below

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 looking for a Senior Software Engineer to drive technical excellence, architect complex systems, and elevate our engineering team. You will own critical technical decisions, lead major initiatives from conception to delivery, and set the standard for engineering quality across our products.

As a senior engineer, you will architect and lead the development of sophisticated AI-enabled features and infrastructure. This includes designing MCP server architectures, building advanced RAG systems, implementing agentic AI workflows, and establishing patterns that scale across our product portfolio. You will combine deep technical expertise in both traditional software engineering and AI/ML to deliver production‑grade solutions.

What You’ll Do
  • Lead the design and implementation of AI integration infrastructure (MCP servers, orchestration layers, API gateways)
  • Build sophisticated AI features including advanced RAG systems, agentic workflows, and multi‑step reasoning
  • Establish AI engineering best practices, security patterns, and quality standards
  • Lead technical initiatives from requirements through production deployment
  • Make critical architectural decisions balancing performance, scalability, cost, and maintainability
  • Design AI evaluation frameworks and implement quality benchmarks
  • Debug and resolve complex production issues across traditional and AI systems
Required Qualifications

AI & Integration: Python, MCP, AWS Bedrock, Lang Graph/Semantic Kernel, Vector Databases, RAG

Core Technical Skills
  • 5+ years professional development with proven track record of delivering complex systems
  • Good to have .NET (C#) development and architecture
  • Advanced React and frontend architecture skills
  • Expert Postgre

    SQL database design, optimization, and performance tuning
  • Deep understanding of microservices, distributed systems, and API design
  • Mastery of software design patterns and clean code practices
AI/ML Expertise (1+ years required)
  • 1+ years hands‑on experience building and deploying production AI/ML features
  • Strong Python development with AI/ML framework expertise
  • Deep understanding of AWS with strong AWS Bedrock exposure
  • Expert‑level experience designing and implementing MCP servers and AI integration architectures
  • Advanced prompt engineering skills including chain‑of‑thought, few‑shot learning, and optimization
  • Experience building agentic AI systems with multi‑agent orchestration and tool use
  • Designs comprehensive AI evaluation frameworks with quality metrics
  • Deep understanding of AI challenges: hallucinations, context limits, latency, costs
  • Implements robust monitoring and observability for AI systems
  • Expertise in AI security: prompt injection prevention, data leakage mitigation
Technical Leadership
  • Leads technical design discussions and drives consensus
  • Identifies systemic issues proactively

Note:

We’re looking for 1+ years of production AI experience with depth in integration architectures, RAG systems, and agentic workflows. You’ll own and deliver features with AI capabilities across our product portfolio.

What Diligent Offers You
  • Creativity is ingrained in our culture. We are…
Position Requirements
10+ Years work experience
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