Senior AI Applications Engineer, Ema
Universal AI employee
Be an early applicant
Universal AI employee
21-100 employees
Be an early applicant
21-100 employees
Company mission
To build the next-generation AI technology to empower every employee in the enterprise to be their most creative and productive.
Role
Who you are
- 4+ years of software engineering experience
- 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
- Experience in building LLM-based evaluation frameworks & conducting UATs with real customers
- Experience with prompt engineering techniques
- Demonstrated the ability to manage complex deployments & solution design for an enterprise customer independently with minimal guidance
- Familiarity with key support metrics (FRT, AHT, TAT, CSAT) and reporting
- Strong troubleshooting and problem-solving skills, especially in production environments. Ideal candidates should be able to troubleshoot ML performance issues & recommend solutions to improve accuracy metrics & other business KPIs
- Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders
- Proficiency in Python & SQL scripting
- Understanding of Data Structures & Algorithms is a plus
- Proficient at invoking platform APIs to retrieve or push data, configure workflows
- Familiarity with JSON, REST, SOAP or other integration protocols. Familiarity with integrating common CRMs/ATS tools would be a plus
- Data-driven evaluation skills, including setting up and interpreting A/A experiments
- Familiarity with logging, dashboard creation, and alerting tools
- Demonstrated ability to manage complex deployments & solution design for an enterprise customer independently
- Strong troubleshooting and problem-solving skills, especially in production environments
- Ownership & Initiative: Takes responsibility for ongoing workflow management and customer outcomes
- Curiosity & Continuous Learning: Actively explores new GenAI/automation techniques and best practices to enhance workflows
- Collaboration: Works effectively across multiple teams
- Customer Empathy: Prioritizes customer success criteria, ensuring solutions address real business needs
What the job involves
- The Senior AI Application Engineer will be pivotal in providing world-class post-deployment support for Ema’s Agent Assist/Chatbot product
- This role requires a strong blend of technical expertise and customer-focused problem-solving
- You will configure, troubleshoot, and optimize AI solutions for our customers, ensuring high performance, continuous improvement of customer workflows, and exceptional customer satisfaction
- You will independently manage complex deployments and solutions for enterprise customers with minimal guidance
- Configure and integrate AI/GenAI workflows using platform APIs and customer data, ensuring smooth and secure deployment
- Translate customer requirements into technical solutions, validating workflow correctness and continuously refining prompts for optimal performance
- Develop and automate tasks using Python & SQL, and build prototypes using open-source Agentic Frameworks to streamline CX workflows
- Design, run, and analyze A/A experiments to measure and improve workflow quality and reliability
- Monitor AI workflows using business metrics and observability dashboards, quickly responding to issues to ensure high availability
- 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
- Utilize APIs and integration protocols (JSON, REST, SOAP) to configure workflows and integrate with CRM/ATS tools
- Write custom scripts to query databases and create reports for in-depth analysis and to demonstrate ROI to customers
Our take
Ema is looking to empower enterprises with universal AI employees. Essentially, these are AI agents built to support the work of other employees by taking on the most repetitive tasks - leaving real people to be more creative and productive.
As the use of automation explodes, businesses need ways to be more efficient and innovative in order to remain competitive. Ema supports this on both ends by taking away the work that can bog down employees and speeding up this work in the process.
Having raised substantial funds, the company is looking to further develop its proprietary tech that powers the AI employees. Ultimately, the agents will be configurable by enterprises so clients can fine-tune them to their needs, and employ them in any role in their organisation.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2026
$14m
SERIES A
Jul 2024
$36m
SERIES A
Total funding: $75m
Company HQ
SoMa, San Francisco, CA
Leadership
Surojit Chatterjee
(Co-Founder & CEO)Member of the Board of Directors at Meesho. Former Executive in Residence at Andreessen Horowitz, CPO at Coinbase, Board Member at Olive and VP at Google.
Souvik Sen
(Co-Founder & CTO)Was VP of Engineering at Okta and Engineering Lead (Data and ML, Privacy and Safety) at Google. They also worked as a Principal Research Scientist at Hewlett-Packard Laboratories.
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