AI Engineer

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Design, develop, deploy, and maintain Agentic AI solutions that streamline business processes and intricate workflows.

• Create autonomous and semi-autonomous AI agents that are capable of reasoning, planning, utilizing tools, retrieving information, managing memory, and executing multi-step tasks.

• Develop and implement multi-agent systems that work together to achieve business goals.

• Integrate Large Language Models (LLMs) from providers including OpenAI, Anthropic, Google, Azure OpenAI, and various open-source alternatives.

• Construct Retrieval-Augmented Generation (RAG) solutions utilizing vector databases and enterprise knowledge resources.

• Design and establish agent orchestration frameworks using technologies like LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or comparable platforms.

• Develop APIs, microservices, and backend services that support AI-driven applications and workflows.

• Connect AI agents with enterprise systems such as CRM, ERP, ticketing platforms, collaboration tools, databases, and third-party SaaS applications.

• Implement comprehensive observability, monitoring, evaluation, logging, guardrails, and governance frameworks for AI solutions.

• Collaborate with business stakeholders to pinpoint automation opportunities and assess where AI agents can provide measurable value.

• Assess emerging AI technologies and suggest practical strategies for implementation.

• Engage in hands-on development using Agile and Scrum methodologies.

• Continuously enhance deployed AI systems for performance, reliability, cost efficiency, and user adoption.

• Troubleshoot production AI applications and swiftly resolve operational challenges.

• Act as a technical advisor on AI automation strategy, architecture, and implementation best practices.

⛳️ Requirements

• Over 5 years of software engineering experience in modern application development.

• More than 1 year of practical experience in building and deploying Generative AI or Agentic AI solutions in production settings.

• Proven experience in designing, developing, and deploying AI agents that interact with APIs, databases, enterprise systems, and external tools.

• Demonstrated ability to create autonomous workflows using agent orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or similar technologies.

• Strong proficiency in Python development along with familiarity with AI application development ecosystems.

• Experience in integrating commercial and open-source LLMs into production applications.

• Solid understanding of prompt engineering, agent design patterns, tool invocation, memory management, context management, and AI workflow orchestration.

• Familiarity with implementing Retrieval-Augmented Generation (RAG) architectures and utilizing vector database solutions.

• Experience with cloud platforms such as Azure, AWS, or GCP.

• Knowledge of Docker, containerized deployments, CI/CD pipelines, and contemporary DevOps practices.

• Ability to interpret SDK documentation and quickly implement integrations with new platforms and services.

• Excellent problem-solving abilities, capable of breaking down complex business challenges into scalable AI-driven solutions.

• Strong communication skills, adept at conveying technical concepts to both technical and non-technical audiences.

• Experience in deploying AI solutions on Azure OpenAI, AWS Bedrock, Vertex AI, or comparable enterprise AI platforms.

• Familiarity with MCP (Model Context Protocol) implementations and AI tool ecosystems.

• Bachelor's degree in Computer Science, Software Engineering, MIS, or a related field.

🏝️ Benefits

• Flexible work arrangements

• Professional development