Engineering Apprentice 2026 Batch
Diligent Corporation
| Company | Diligent Corporation |
| Category | Engineering |
| Location | Bengaluru |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Intern |
| Salary | Not stated by the employer |
| Posted | 24 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Important Notice, before you apply for this apprenticeship program. Please read the complete Job Advert and apply only if relevant to you
This opportunity is strictly for Freshers applying for our 1-Year Engineering Apprenticeship Program .
Candidates must not have been employed previously or have undergone Aadhaar seeding with EPFO/ESIC through any employer.
As per the Government Apprenticeship guidelines, candidates whose Aadhaar has already been seeded due to prior employment are not eligible for this apprenticeship.
Candidates who have completed internships as part of their academic curriculum without EPFO/ESIC registration may still be eligible.
If you have already worked full-time or your Aadhaar has been linked through an employer for statutory benefits, please do not apply , as your application cannot be considered.
Position Overview:
As an Engineering Apprentice, you will be creating robust, scalable, and secure microservices that power our SaaS platform and make governance easy for our customers. You will have the full power of AWS at your disposal, and you will be focused on building serverless solutions (either brand new, or assisting in migrating services to serverless), typically in TypeScript. As part of our core governance teams, your team will fully own their services (from code to deployment and monitoring), you will participate in architecture discussion, and regularly demo to the entire department. Additionally, you'll have opportunities to work on AI-powered features and intelligent automation workflows that enhance our platform's capabilities.
Key Responsibilities Demonstrates entry-level technical capabilities Ability to complete smaller stories independently, and more complex ones with guidance from senior members of the team Curious and high potential for learning and growing as an engineer Understand the process and keep the Flow healthy Collaborate on AI-enhanced features and automated workflows when opportunities arise
Required Skills 2026 graduate with Bachelor's degree in computer science, Engineering, Math, or related field Proficiency in developing RESTful APIs using NodeJS and/or TypeScript in Open API specifications, visually stunning user interfaces using Angular/React Solid understanding of Git and best practices in source code management Experience working with Docker and containerization technologies Experience on SQL databases. Preferable Postgres
Desired Skills Hands on Experience with AWS and its service offerings Knowledge of AWS CDK, terraform Basic knowledge of CI/CD principle AI/ML Interest: Demonstrated curiosity about AI/ML through coursework, personal projects, or selfdirected learning Experience with Python for scripting, automation, or data processing Basic understanding of machine learning concepts or familiarity with AI frameworks (TensorFlow, PyTorch, scikit-learn) Interest in prompt engineering and working with Large Language Models (LLMs) Familiarity with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Textract) Experience with AI orchestration frameworks (LangChain, LlamaIndex) or similar tools Knowledge of data processing libraries (pandas, numpy) and basic data analysis Understanding of AI ethics and responsible AI practices
About Us
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 wa
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