Software engineer- JAVA Coversational AI

Posted 3 Days Ago
Be an Early Applicant
Greece
3-5 Years Experience
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role
As a Backend Developer at Aisera, you will design, develop, and maintain robust backend applications mainly using JAVA and Spring Framework. You will implement microservices architecture, contribute to software development life cycle activities, and troubleshoot complex technical issues in production.
Summary Generated by Built In


What we do?

Aisera, the leading provider of Generative AI and AI Copilot solutions with AiseraGPT, facilitates business transformation by enabling self-service and driving revenue growth. Aisera’s AI Copilot, a universal bot, leverages industry and domain-specific LLMs in IT, HR, Customer Service, Contact Centers, Sales & Marketing, and Finance to deliver delightful human-like experiences. With over 400+ integrations and 1200+ prebuilt and third-party service catalogs supporting AI Workflows, customers typically achieve automation rates of 75% or higher in user requests, resulting in an impressive 80% reduction in operations costs. Aisera is recognized as a leader in multiple industry analyst reports, including Forrester. Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies.

Job Summary:

We are looking for skilled Backend Developers with a solid hands-on experience in JAVA and Spring Framework to be a key contributor in our software development team. As a Backend Developer, you will play a crucial role in designing, developing, and maintaining our backend systems, with a focus on microservices architecture. Your expertise in product development and understanding of SaaS (Software-as-a-Service) concepts will be valuable in shaping our innovative solutions and enhancing our existing products. 

Responsibilities:

  • Design, develop, and maintain robust and scalable backend applications using JAVA/Python on Kubernetes and Docker
  • Implement microservices architecture to ensure the modularity, maintainability, and scalability of our applications.
  • Contribute to Aisera workflow library by abstracting customer’s requirements and build maintainable workflows
  • Contribute to the entire software development lifecycle, from requirements gathering and design to testing and deployment.
  • Troubleshoot and resolve complex technical issues that arise in production and provide timely resolutions.

Requirements:

  • BS in CS major
  • Solid Java, JavaScript, or Python programming skills and data structures
  • Good at object oriented design and familiar with design patterns 
  • Confident work with AWS/Azure/k8s environments

Why Aisera?

Joining Aisera as a Developer offers an exciting opportunity to work on innovative projects, collaborate with talented professionals, and make a significant impact on our product offerings. If you are passionate about backend development, possess the required expertise, and have experience with distributed systems or startups, we encourage you to apply and be a part of our growing team.

Medical, dental, and vision benefits

Holidays and flexible PTO

Paid family leave

Stock Options 

Employment Assistance Program

Top Skills

Java
JavaScript
Python
The Company
HQ: Palo Alto, CA
265 Employees
On-site Workplace
Year Founded: 2017

What We Do

Aisera is a leading provider of enterprise Generative AI apps and a platform that helps enterprises accelerate revenue growth, improve user productivity, lower costs, and create magical user experiences.

Our products - AiseraGPT, AI Copilot, AI Search, and Agent Assist - are built on our Generative AI Platform that serves as the fundamental building block for enterprise GenAI applications. Aisera leverages a TRAPS framework (Transparent, Responsible, Auditable, Privacy, and Secure) to meet stringent data governance requirements while adhering to the highest standards of Responsible AI.

Aisera products deliver human-like interactions with a multi-modal interface, providing contextually rich conversations that boost user productivity. With pre-trained, domain-specific LLMs grounded in customer data, our products offer higher accuracy, fewer hallucinations, and increased resolution rates. They address critical industry challenges, spanning a wide range of solutions, including AI-driven software engineering, code generation, content and knowledge creation, workflow automation, and natural language AI-powered analytics.

AiseraGPT automates knowledge retrieval and repetitive tasks, while AI Copilot serves as a personal companion for answering questions, analyzing data, and completing tasks. Agent Assist provides real-time assistance for agents, including case summarization, recommendations, and next best actions, through an embedded UI widget in SaaS applications like ServiceNow, Salesforce, Workday, and more. Aisera’s AI Search allows users to perform secure, private, and permissions-aware enterprise-wide searches using natural language, generating answers, summaries, and micro-actions to boost efficiency.

Aisera provides a Universal Bot with a unified interface to resolve user requests across all domains, including Engineering, HR, IT, Sales, Marketing, Customer Service, Life Sciences, Healthcare, Financial Services, and Retail. Aisera compliments these offers with action bots that are built-in with customizable AI Workflows through an Event and Visual Studio to take action and automate business processes.

Aisera technology is based on an Agentic and reasoning architecture that can perform intentless and intent-driven natural language requests across unstructured and structured databases, business apps, and systems of records. Users benefit from a default large context window, personalized responses, and summarizations.

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