Ema

Senior AI Applications Engineer

India

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Enterprise SoftwareIndustries

Requirements

Candidates should possess at least 4 years of software engineering experience and significant experience in AI/LLM application development, including building agents, integrations, workflows, and evaluating/improving their performance. Experience setting up, configuring, and supporting ML Systems or AI Agents is a plus, along with familiarity with prompt engineering techniques. Demonstrated ability to manage complex deployments and solution design for an enterprise customer independently with minimal guidance is required. Strong troubleshooting and problem-solving skills, especially in production environments, are also necessary.

Responsibilities

The Senior AI Application Engineer will configure and integrate AI/GenAI workflows using platform APIs and customer data, ensuring smooth and secure deployment. They will translate customer requirements into technical solutions, validating workflow correctness and continuously refining prompts for optimal performance. This role involves developing and automating tasks using Python & SQL, and building prototypes using open-source Agentic Frameworks to streamline CX workflows. The Engineer will design, run, and analyze A/A experiments to measure and improve workflow quality and reliability, monitor AI workflows using business metrics and observability dashboards, and quickly respond to issues to ensure high availability. They will provide proactive solutions and regular updates to customers, maintaining high CSAT through effective troubleshooting and communication, diagnose and resolve platform issues related to APIs, data integration, and workflow configurations, collaborating with engineering when needed, and utilize APIs and integration protocols (JSON, REST, SOAP) to configure workflows and integrate with CRM/ATS tools. Additionally, they will write custom scripts to query databases and create reports for in-depth analysis and to demonstrate ROI to customers.

Skills

AI/LLM application development
building agents
integrations
workflows
performance evaluation
prompt engineering
troubleshooting
problem-solving
deployment management
customer solution design
support metrics (FRT, AHT, TAT, CSAT)

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.

Key Metrics

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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