Forward Deployed Engineer

Summary

Join Aisera and become a Forward Deployed Engineer, deploying state-of-the-art AI agents that solve real-world customer problems. You will leverage cutting-edge technologies in LLMs and AI Agent systems, working closely with customers and engineers to ensure high-impact deployments and continuous platform improvement. Develop intelligent AI agents, integrate them with external systems, and provide hands-on technical support. This role demands strong engineering skills, adaptability, and customer engagement, making it ideal for self-driven, analytical individuals passionate about practical AI applications. The position offers a competitive salary and the chance to contribute significantly to Aisera's mission.

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
• 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

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

Preferred Qualifications

• 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