Associate Agentic Engineer

Merge Storytelling and Technology

We bring together the minds and passions of creative pioneers, tech innovators, and data explorers to help ambitious clients solve business challenges and rise to the top. MERGE has enduring client partnerships with American Express, T-Mobile, LG, Subway, Kate Spade NY, Coach, The North Face, Meta, Adobe, BlueCross BlueShield, Abbott, Astellas, Supernus, CSL, GE Healthcare, Broward Health, Indiana University Health, Nationwide, and Morgan Stanley. With offices in Atlanta, Boston, Chicago, Denver, Kansas City, Montreal, New York City and Los Angeles. MERGE uses a talent-to-task process that enables clients to think higher and feel deeper about their customers. 

Promote Health, Wellness & Happiness

We are committed to promoting health, wellness and happiness in the world by partnering with purpose-driven clients in purpose-driven industries in healthcare, life science, and consumer products. Our deep vertical expertise and category insights stem from decade-long partnerships with our top clients.

Emerge to the Top of Your Career

At MERGE, we strive to create a superior work experience where talented and ambitious people grow. An experience that encourages people to think higher and feel deeper. An experience where people engage their minds and hearts to do the best work of their careers.

About the Role 

We're seeking a passionate and driven Associate Agentic Engineer to join our growing team. In this role, you'll work closely with experienced Agentic Engineers and Architects to help build, test, and maintain the code that powers our cutting-edge AI agent ecosystem. You'll gain hands-on experience implementing agent workflows, assisting with custom integrations, and ensuring our autonomous systems are robust and reliable as the AI landscape rapidly evolves. This is an excellent opportunity for someone eager to dive deep into the world of AI agents and contribute to impactful projects. 

Key Responsibilities: 

● Agent Development Support: Assist in writing and refining Python code for agent workflows, custom tools, and API integrations. Help implement basic error handling, retry logic, and fallback mechanisms under guidance. 

● Evaluation & Testing Assistance: Support the design and execution of evaluation suites for agent performance, including data collection and analysis for accuracy and latency. Help maintain back-testing infrastructure. 

● Debugging & Observability Learning: Learn to use trace analysis and observability tools to assist in diagnosing agent failures and performance issues. Support the implementation of logging and monitoring to track agent decisions. 

● Platform Familiarization: Work with various agent frameworks and platforms, learning to implement solutions. Stay curious about emerging standards and protocols in the agentic ecosystem. 

Required Qualifications: 

● Bachelor's degree in Computer Science, Software Engineering, or a related technical field. 

● 1+ year of Python development experience, ideally with some exposure to API interactions or system integration. 

● Basic understanding of AI/ML concepts, with a strong interest in Large Language Models (LLMs) and agent architectures. 

● Familiarity with software testing principles and version control (e.g., Git). 

● Eagerness to learn and strong problem-solving skills. 

Key Skills: 

● Solid Python programming skills with an eye for clean and readable code. 

● A curious mindset and a desire to understand complex systems. 

● Good foundational debugging abilities. 

● Excellent communication and collaboration skills. 

Preferred Experience: 

● Academic projects or personal experience with agent frameworks (e.g., LangChain, AutoGen, CrewAI). 

● Familiarity with basic data analysis or experimentation. 

● Any exposure to cloud platforms (AWS, Azure, GCP). 

At MERGE, we’re committed to fostering an environment where our team members can thrive in both their careers and personal lives, ensuring they feel supported and empowered to succeed.

MERGE believes in transparency and equity. In accordance with state regulations, we’re proud to include salary ranges in our job postings to ensure fair compensation practices.

The salary range for this role is $65,000 - $80,000, based on the individual’s skills,