Reference Code: ERIMT-AI-SAE-2026-2502

Job Summary

ERIMT is seeking a dynamic and highly skilled Senior Agentic AI Engineer to lead the development of cutting-edge autonomous intelligence solutions. At ERIMT, we’re not just creating wrappers around existing technology; we’re pioneering sophisticated, multi-agent ecosystems that demonstrate true digital autonomy. Your leadership will be instrumental in defining how agentic intelligence can solve mission-critical business challenges at scale, transitioning from simple automation to advanced, reasoning-driven digital agents that autonomously plan and execute complex workflows in the real world.

As a senior leader in our team, you will directly influence the strategic direction and technical execution of AI-driven autonomy solutions that push the boundaries of what’s possible, integrating them seamlessly into enterprise-level environments.

Key Responsibilities

• Architect Autonomy: Design, implement, and scale sophisticated AI agents utilizing advanced techniques like Large Language Models (LLMs), reinforcement learning, and custom reasoning frameworks.

• Orchestrate Complexity: Build multi-agent architectures (using platforms like LangGraph, AutoGen, or CrewAI) that are capable of long-term planning, collaboration, and adaptive task completion across various domains.

• Enterprise Integration: Seamlessly integrate AI agents with enterprise-grade systems including deep-stack APIs, vector databases, real-time data pipelines, and legacy platforms to create a fully interconnected autonomous system.

• Performance Engineering: Optimize agent behavior through continuous feedback, tuning, and rigorous testing, ensuring high reliability and efficient resource utilization in production environments.

• Safety & Ethics: Design and enforce robust safety protocols, ethical guidelines, and compliance standards to ensure autonomous agents operate in a secure, ethical, and predictable manner.

• Technical Leadership: Guide the development and execution of AI integration strategies, providing mentorship and direction to engineering teams while fostering best practices for agentic systems.

Core Technical Skills

• Programming Mastery: Expertise in Python with hands-on experience in TypeScript/Node.js or Go; familiarity with functional programming paradigms is a plus.

• Agentic Frameworks: Extensive experience with LangChain, LangGraph, and the Model Context Protocol (MCP) to build and scale autonomous systems.

• AI/ML Foundations: In-depth knowledge of modern AI/ML paradigms, including APIs from OpenAI and Anthropic, PyTorch, and proficiency in working with vector databases (e.g., Pinecone, Milvus) for large-scale data management.

• Infrastructure: Proven experience deploying and managing AI-driven systems on platforms like Docker, Kubernetes, and cloud providers (AWS, GCP) with a focus on scalability, performance, and high availability.

• Data Strategy: Expertise in semantic retrieval (RAG) and managing persistent memory systems for autonomous agents to improve data utilization and agent decision-making.

Qualifications

• Experience: 8+ years of professional software engineering experience, with a strong focus on AI, machine learning, and system design. A degree in Computer Science, AI, or a related field is preferred.

• Specialized Expertise: At least 2 years of hands-on experience in developing Generative AI systems and Autonomous Agent platforms.

• Proven Track Record: Demonstrated success in shipping multi-step reasoning applications or managing agent orchestration platforms in production environments at scale.

• System Design Expertise: Deep understanding of scalable system architectures, CI/CD pipelines, and distributed systems to support autonomous AI deployments.

Portfolio & Proof of Work (Required)

At ERIMT, we prioritize demonstrated engineering capability over theoretical knowledge. To be considered for this role, candidates must submit verifiable evidence of hands-on experience building autonomous or agentic AI systems, preferably using modern platforms, frameworks, or orchestration tools.

Please include at least one of the following:

• GitHub Repository: Code demonstrating agent loops, multi-agent orchestration (e.g., LangGraph, AutoGen, CrewAI, LangChain), or custom tool-calling and reasoning workflows.

• Technical Portfolio / Case Study: A detailed breakdown of a deployed system, highlighting how you designed reasoning pipelines, memory management, planning loops, or error correction mechanisms.

• Research or Technical Blog: Published work or technical writing documenting your contributions to agentic AI systems, autonomous agents, or LLM-based architectures.

Submission Format:
For each submission, include a project title, a brief description of the technical stack (frameworks, models, and infrastructure used), and a link to the code repository or live deployment.

Compensation

• Salary Range: Earn a competitive annual salary from $156,000 to $234,000, based on your experience and qualifications.

• Equity Package: Receive a competitive equity package that ties your success directly to ERIMT’s growth, offering you a stake in the company’s future.

Why Work With Us?

• Innovative Environment: Join a dynamic, cutting-edge team at ERIMT’s headquarters, where we’re pushing the boundaries of autonomous AI. This is your chance to collaborate with industry leaders and make a direct impact on the future of AI.

• Career Growth: Be part of a forward-thinking company that invests in your growth, providing leadership opportunities and a clear path to success as we scale.

• Impactful Work: Lead the development of groundbreaking AI systems that will transform industries. Your work will solve complex challenges and shape the future of autonomous technology.

Featured Benefits

• Comprehensive Health Coverage: Enjoy medical, dental, and vision plans that prioritize your well-being.

• 401(k) Matching: We offer 401(k) matching to help you plan for the future and retire with confidence.

• Generous Paid Time Off: Take advantage of generous paid time off to recharge and maintain a healthy work-life balance.

• Onsite Work Environment: Work full-time from our vibrant, state-of-the-art headquarters, where innovation and collaboration thrive.

• Work Authorization: Must be legally authorized to work in the United States.

Time Type:
Full-Time

Primary Location:
New York, NY(Financial District), United States

Equal Opportunity Statement

ERIMT is proud to be an Equal Opportunity and Affirmative Action Employer. We are committed to building a diverse, inclusive, and respectful workplace where talent and innovation can thrive.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status, in accordance with applicable federal, state, and local laws.

We believe that diverse perspectives drive stronger innovation, and we welcome applicants from all backgrounds who are passionate about building the future of autonomous AI.