AI Agent Engineer

Description

• Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion.
• Integrate AI Agents with APIs, backend services, databases, and enterprise applications.
• Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large-scale AI/ML solutions integrating the latest state of the art research in our global products
• Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices.
• Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team.
• Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments.
• Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation.
• Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously.
• Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks.
• Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction.

Requirements

• Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
• Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
• Hands-on experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
• Must be willing to work out of an office located in Niskayuna, NY.
• Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
• Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
• Demonstrated ability to work independently in fast-paced, experimental environments.
• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
• Minimum 2-3 years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
• Expertise with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture
• Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor’s level for employment visas, now or in the future, for this job opening.
• Awareness of AI ethics, data privacy, and secure handling of sensitive information.
• Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
• Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
• Must be 18 years or older.
• Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance