Location: Iselin, NJ
Salary: $90.00 USD Hourly - $96.00 USD Hourly
Description: Lead Software Engineer, Agentic AI PlatformLocations: Iselin, NJ Charlotte, NC
Duration: 9 months (high potential to extend or convert)
Level: Specialty Software Engineer 4 (Senior / Architect level)
About the RoleWe are building a
net-new Agentic AI platform for Commercial Banking to automate servicing and email-driven workflows. This platform uses autonomous and assisted AI agents to understand inbound emails, extract intent (including multi-intent messages), orchestrate the right services, and complete work end-to-end with minimal human intervention.
As a Lead Software Engineer, you will be responsible for
architecting, designing, and delivering the core platform capabilities, while guiding teams through early discovery, experimentation, and the build-out of production-ready systems.
This is a
high-ownership, startup-style environment where engineering leaders make critical architectural decisions and drive implementation hands-on.
What You Will BuildYou will design and implement an AI-driven workflow system that:
- Reads and interprets incoming emails
- Classifies and extracts one or more user intents
- Breaks down complex or multi-request messages
- Routes work through an orchestration engine
- Executes tasks using autonomous or human-assisted AI agents
- Integrates with a front-end chatbot interface
- Notifies users only when human action is required
Agents may be fully autonomous or collaborate with humans in the loop.
Current Phase of the ProjectThe team is in
early-stage architecture and infrastructure setup:
- End-state visioning and workflow mapping
- Building dev and production environments
- Designing the agent orchestration framework
- Standing up MCP server
- Email ingestion + classification pipelines
- Creating foundational APIs
- Setting up MongoDB
- Running POCs, experiments, and architecture validations
This role will significantly influence the architectural direction during this critical phase.
Key Responsibilities- Lead end-to-end architecture and development of platform components
- Design scalable, reliable APIs and distributed services
- Build workflow orchestration and task-based processing systems
- Create agentic AI patterns using LangChain/LangGraph
- Drive POCs to validate architectural decisions
- Review system designs, integration approaches, and code quality
- Collaborate closely with product, operations, and enterprise architecture teams
- Mentor and guide junior and mid-level engineers
- Champion engineering discipline, delivery excellence, and high code standards
Required QualificationsTechnical Expertise- 10+ years of engineering experience with strong backend fundamentals
- 2+ years of hands-on AI/LLM engineering experience
- Deep proficiency in Python
- Strong production experience with LangChain and LangGraph
- At least one production agentic AI system delivered end-to-end
- Strong understanding of AI system design and agent orchestration
- Experience with MongoDB or similar NoSQL databases
- Experience developing async APIs
- Knowledge of MCP, Kafka/queue systems, and workflow engines
- Experience building microservices in cloud-native environments (containers, CI/CD, observability)
Architecture & Delivery- Proven solution architecture experience, ideally tied to AI/ML systems
- Ability to make architectural tradeoffs and validate decisions via POCs
- Strong Agile delivery leadership (estimation, grooming, sprint planning)
Preferred Qualifications- Experience with Google ADK (Agent Developer Kit)
- Experience in financial services (KYC, onboarding, servicing workflows)
- Broader familiarity with LLM orchestration frameworks and workflow automation platforms
What We're Looking ForIdeal Candidates Are:- Senior AI engineers who lead, not just implement
- Strong system architects with hands-on delivery experience
- Comfortable operating in ambiguity and startup-like environments
- Confident challenging assumptions and defending technical choices
We're Not Looking For:- Pure Python developers without AI/agentic experience
- Academic-only AI profiles
- Candidates who have only built demos/POCs with no production delivery
Important Notes- Open to relocation candidates
- In-person interview is required
- The team is doubling by April; these hires will help lead and scale it
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