AI Applications Lead at Ema

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Candidates should have at least 6 years of experience in customer-facing roles, consulting, or solution delivery for enterprise clients, along with 4 years of team management experience in a technical setting. Hands-on experience with LLM-based solutions, proficiency in Python and SQL, and expertise in cloud platforms such as AWS, GCP, or Azure is required. Strong problem-solving skills and a strategic mindset are essential, with familiarity in scaling AI workflows and monitoring tools preferred.

Responsibilities

The AI Applications Lead will architect and deploy Generative AI solutions, manage and mentor a team of AI engineers, and collaborate with enterprise clients to translate objectives into actionable AI workflows. They will design and integrate complex software systems with APIs, oversee cloud deployment, conduct A/B testing to refine workflows, implement monitoring tools for real-time metrics, and align AI initiatives with organizational goals while reporting progress to leadership.

Skills

Generative AI

LLMs

Prompt Engineering

Conversational AI

AWS

GCP

Azure

APIs

A/B Testing

Cloud Deployment

Ema

Develops enterprise AI solutions for workforce efficiency

About Ema

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

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