Relyance AI

Software Engineer, Integrations

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software Development, AI & Machine LearningIndustries

Requirements

Candidates should possess 7+ years of experience building complex backends, particularly those handling intricate data, along with expert-level proficiency in Python and strong data structures, algorithms, and object-oriented software design skills. They should also demonstrate the ability to learn and operate across the full stack, including ML, NLP, cloud infrastructure, and UI frontend, and possess a creative and strategic mindset for building robust and flexible systems.

Responsibilities

As a Senior Software Engineer - AI Backend, the individual will strategize and execute a roadmap for a high-velocity AI development system while ensuring product stability, make customer-centric prioritization decisions, design and architect systems balancing scrappiness with a forward-thinking outlook, and continuously look for opportunities to automate and build tools. They will also be a key member of the team solving complex problems with pragmatic solutions, learn and operate as an AI/ML engineer utilizing technologies like LLMs, PyTorch, and TensorFlow, and communicate effectively with clear and concise language, active listening, and empathy, while maintaining a respectful and collaborative approach.

Skills

NLP
AI models
System architecture
Data engineering
Automation
AI/ML frameworks
PyTorch
TensorFlow
Large Language Models
ChatGPT
GPT-4
BERT
T5
Model training
Data curation

Relyance AI

Data protection and privacy compliance platform

About Relyance AI

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with privacy regulations. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and compliance risks. The company's goal is to help organizations maintain user trust and meet regulatory requirements effectively.

Mountain View, CaliforniaHeadquarters
2020Year Founded
$60.3MTotal Funding
SERIES_BCompany Stage
Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
51-200Employees

Risks

Emerging competition from platforms like OneTrust and TrustArc.
Frequent updates needed due to evolving AI regulations increase costs.
Complex data privacy laws across jurisdictions challenge universal compliance.

Differentiation

Relyance AI uses machine learning for real-time data flow mapping.
The platform offers asset-level visibility and lineage for sensitive data.
Relyance AI integrates privacy compliance directly into code bases.

Upsides

Raised $32M in Series B funding, enhancing growth and innovation.
Named a 2023 Gartner Cool Vendor in Privacy, boosting credibility.
Growing demand for AI-driven compliance solutions supports market expansion.

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