Forward Deployed Engineer

Sorry, this job was removed at 08:21 p.m. (CST) on Tuesday, Aug 26, 2025
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Greece
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role


About the position

At  Aisera we are on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. As a Forward Deployed Engineer, you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems, and offer hands-on technical support to ensure successful deployments. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you.

Responsibilities
  • Develop, configure, and deploy AI agents using Aisera's AI platform and tools.
  • Integrate AI agents with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
  • Optimize agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
  • Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.
  • Conduct interactive demos and present compelling proof-of-concepts to customers, proactively gather feedback, and iteratively refine solutions to meet objectives.
  • Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery.
  • Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage.
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in software development, AI/ML engineering, or system integration.
  • Proficiency in Python, with the ability to write clean, efficient code.
  • Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.
  • Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.
  • Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
  • Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.
  • Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.
  • Excellent communication and project management skills.
  • Willing to accomodate hours for USA and Europe Based Customers.

Base Pay Range EUROS: 75,000 euros to 110,000 euros, depending on experience and qualifications.

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.


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The Company
HQ: Palo Alto, CA
265 Employees
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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