Agentic Workflow Developer

Fiserv • Berkeley Heights, NJ

2d • Onsite

About The Position

We are seeking an Agentic Workflow Developer to design and implement AI-powered automation systems that enhance our software development and business processes. You will build intelligent workflows using agentic frameworks, creating systems where AI agents can autonomously handle multi-step tasks while maintaining appropriate human oversight. This includes building agents that can understand and work with legacy systems and documentation. This role focuses on practical automation using AI capabilities rather than building AI models from scratch.

Requirements

• 10+ years of software development experience with strong proficiency in Python (Java experience also valued)
• Hands-on experience with major LLM-powered coding assistants and the ability to evaluate emerging tools
• Experience with agentic AI frameworks (LangChain, LangGraph, AutoGPT, CrewAI, or equivalent)
• Strong understanding of API integrations and workflow orchestration
• Experience with prompt engineering and working with LLM APIs
• Solid grasp of security best practices for automated systems
• You must currently possess valid and unrestricted U.S. work authorization to be considered for this role.
• Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Nice To Haves

• Experience with MCP (Model Context Protocol) or A2A (Agent-to-Agent) protocols
• Background in DevOps, SRE, or platform engineering
• Experience with RAG (Retrieval Augmented Generation) implementations
• Experience building integrations with legacy systems or mainframes
• Familiarity with fintech compliance requirements

Responsibilities

• Design and build agentic workflows that automate complex, multi-step development and operational processes
• Implement AI agent systems using frameworks like LangChain, LangGraph, CrewAI, or similar technologies
• Create tool integrations enabling AI agents to interact with internal systems, APIs, and databases securely—including legacy systems
• Build monitoring and observability systems for AI agent performance and reliability
• Develop guardrails and safety mechanisms ensuring agents operate within defined boundaries
• Automate code review, testing, documentation, and deployment processes using AI capabilities
• Collaborate with engineering teams to identify automation opportunities and implement solutions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed