Cognitive implementation engineer II, Enterprise at SoundHound AI

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Masters / Bachelors degree in computer science or equivalent
2+ years of experience in Java, Javascript, and/or Groovy Scripting

Responsibilities

Configure cognitive modules of Amelia – or create new customized modules with help of Product Engineering – to ensure Amelia can address required functionality
Review outcome of the Transversal Analysis and target Architecture blueprint
Configure (‘train’) Amelia for the agreed use cases
Test Amelia against concrete cases and implement refinements
Discuss with Technical Architect and Cognitive Project Leads approaches to each technical challenge and agree on technical solution
Develop and test each module functionally until it reaches expected behavior
Work with integration experts to connect developed functional solutions to the Automatons that communicate with back-end systems
Review ‘structural’ changes and developed APIs after project execution and decide with R&D if any should be standardized in Amelia
Reuse APIs and automata or create new APIs and automata to integrate Amelia with relevant client systems and security framework
Create agile work plan for agreed functionality and validate with cognitive project lead
Configure Amelia ontologies to address required functionality in agile sprints
Create reusable Amelia ‘modules’ (e.g. BPNs) in local language
Create reusable Amelia ontologies in local languages
Stress test new/modified pieces to ensure they can withstand technical end-user requirements

Skills

Amelia

Cognitive Modules

APIs

Agile

Integration

Testing

Architecture Blueprint

Voice AI

Generative AI

Conversational AI

SoundHound AI

Voice AI platform for conversational experiences

About SoundHound AI

SoundHound provides conversational intelligence solutions through its independent voice AI platform. This platform uses unique technologies called Speech-to-Meaning® and Deep Meaning Understanding® to facilitate fast and accurate voice interactions, allowing users to engage with products and services in a natural way. The company works with a wide range of clients, including well-known brands like Hyundai, Mercedes-Benz, and Netflix, by licensing its voice AI technology. This approach generates revenue through long-term contracts and usage-based fees. SoundHound stands out from competitors by focusing on delivering high-quality conversational experiences across various industries, including automotive and consumer electronics, where advanced voice AI capabilities are increasingly important.

Santa Clara, CaliforniaHeadquarters

2005Year Founded

$317.1MTotal Funding

IPOCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Health Insurance

Paid Vacation

Paid Sick Leave

Hybrid Work Options

Company Equity

Performance Bonus

Risks

Competition from tech giants like Google and Amazon threatens SoundHound's market share.

Rapid AI advancements could render SoundHound's technologies obsolete without innovation.

Economic downturns may reduce business spending on AI technologies, affecting revenue.

Differentiation

SoundHound's Speech-to-Meaning technology ensures high-speed, accurate voice interactions.

Partnerships with brands like Hyundai and Mercedes-Benz enhance SoundHound's market credibility.

SoundHound's open developer platform allows for customizable AI voice solutions.

Upsides

Growing demand for voice AI in automotive boosts SoundHound's market potential.

Expansion into quick-service restaurants highlights new revenue streams for SoundHound.

Recognition in healthcare AI suggests opportunities in the healthcare sector.

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