Tech Lead- JAVA

Posted 6 Hours Ago
Be an Early Applicant
Greece
Senior level
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role
As a Tech Lead, you will design, develop, and maintain backend applications using JAVA and Python. Responsibilities include collaborating with teams, implementing microservices architecture, troubleshooting issues, participating in code reviews, and integrating new technologies. Your work contributes to the Aisera workflow library and involves the full software development lifecycle.
Summary Generated by Built In

Tech Lead - Conversational AI & Automation

Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiences and auto-remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction.

Aisera has received numerous recognitions, including the following: FastCompany Best Workplaces for Innovators; Inc 5000 Award for Fastest Growth; Forbes AI50; EY Entrepreneur of the Year 2023; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; and Silicon Review 50 Most Admired Companies. 

Our seasoned founding team has led companies through several prior successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work, and we hire people from a very wide range of backgrounds and experience. Our team members operate with a high degree of empathy for our customers and each other.

Join our dynamic and fast-paced team and be a part of our journey to revolutionize the industry.

The Role: 

We are looking for a skilled backend engineer with solid hands-on experience in Middleware Integration, JAVA, Business Process/Workflow to be a key contributor in our software development team. As a Tech Lead, you will play a crucial role in designing, developing, and maintaining our conversation AI & Automation building blocks and features, 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.
  • Collaborate with cross-functional teams, including Frontend Developers, Product Managers, and DevOps Engineers, to deliver high-quality software solutions.
  • 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.
  • Participate in code reviews, ensuring adherence to coding best practices and maintaining code quality standards.
  • Stay up-to-date with the latest industry trends and advancements in backend development, and identify opportunities to integrate new technologies into our products.

Basic Qualifications:

  • Proven experience as a Server-side Developer, working with JAVA and its ecosystem to build and maintain web applications and services.
  • Preferred Experience with REST/gRPC, Kubernetes, GraphQL, AWS, Azure, Grafana, Kibana, Elastic, Airflow.
  • Strong understanding and hands-on experience with microservices architecture and related concepts.
  • Prior involvement in product development, with a track record of delivering high-quality software solutions.
  • Familiarity with SaaS concepts and experience in developing SaaS-based applications is a plus.
  • Proficiency in database design and integration, including SQL and NoSQL databases.
  • Solid understanding of software development principles, design patterns, and best practices.
  • Experience with version control systems (e.g., Git) and collaborative development workflows.
  • Strong problem-solving skills and the ability to work effectively in a fast-paced and dynamic environment.
  • Excellent communication and teamwork skills, with the ability to collaborate effectively with team members and stakeholders.
  • Experience with distributed systems and handling large-scale data is highly desirable.
  • Preference will be given to candidates with prior experience working in startup environments, demonstrating adaptability, initiative, and a passion for innovation.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field or equivalent work experience of 8+ years

Preferred Qualifications:

  • Startup experience
  • Enterprise SaaS experience 
  • BPMN or other similar business process workflow automation experience

Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.


Top Skills

Java
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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