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 experiencs 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 Leader in the 2024 Gartner Magic Quadrant™ for Artificial Intelligence Applications in ITSM, 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.
The Role
Take this opportunity to lead the design and development of advanced AI systems including intelligent agents, conversational interfaces, and retrieval-augmented generation (RAG) architectures and systems. Drive technical strategy and implementation for next-generation AI products.
- Architect and build scalable agentic AI systems capable of autonomous decision-making and task execution
- Architect, design and optimize dialog agents with natural language understanding, context management, and multi-turn conversation capabilities
- Develop and optimize robust search and retrieval systems for RAG implementations, including vector databases, embedding strategies, and knowledge integration
- Take ownership of complex system design, from proof-of-concept to production deployment
- Establish best practices for AI model integration, prompt engineering, and system reliability
- Collaborate with product teams to translate business requirements into technical AI solutions
- Develop and maintain scalable, efficient data pipelines that automate the ingestion, transformation, and storage of data
- Identify performance bottlenecks and improve systems scalability.
- At least 7 years in senior software engineering roles, with 2+ years as tech lead or architect
- 2+ recent years professional work on AI or Search systems
- Expertise in vector search, embedding models, or RAG system optimization
- Strong background in distributed systems, APIs, and cloud-native AI infrastructure
- Experience with AI frameworks (LangChain, LlamaIndex, etc.), and vector databases or information retrieval systems (preferably Elastic)
- Solid understanding of software development principles and architectural best practices.
- Professional experience with messaging systems such as Kafka, RabbitMQ, or similar technologies.
- Professional experience with cloud platforms such as AWS, GCP or Azure.
- Proficiency in using Docker, Kubernetes, or similar containerization and orchestration tools.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Ph.D. in distributed systems, AI systems, or related area
- Familiarity with machine learning concepts and libraries (e.g., Pandas, NumPy, PyTorch).
- Experience with LLM integration, prompt engineering, and AI orchestration frameworks.
This is a Greece-based, full-time, employee-status, fully remote position.
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
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.
