Jobs / Wel***
Senior AI Software Engineer - MCP & Agentic Systems
Wel*** · Iselin, NJ, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Iselin, NJ, United States100,000-196,000 USD/yearlyHybrid
Remuneration
100,000-196,000 USD/yearly
Location
Iselin, NJ, United States
Visa sponsorship
Sponsors visa
Job summary
About this role: Wel*** is seeking a talented and passionate AI Developer to help shape the next generation of Agentic AI systems. In this role, you'll be at the forefront of building Model Context Protocol (MCP) infrastructure — designing and implementing MCP servers and clients that power intelligent, tool-using agents.
Benefits
Wells Fargo provides eligible employees with a comprehensive set ofMany of which are listed below.Wells Fargo Jobs for anOf the following benefit plans and programs offered to employees.401(k) PlanPaid time offDisabilityLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter
Qualifications
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years strong proficiency in Python with experience in building production-grade services
- 2+ years of LLM experience
- 1+ years of hands-on knowledge of the Model Context Protocol (MCP) — including protocol internals, transport layers, message schemas, and lifecycle management
- 1+ years of authentication, authorization, and access control patterns (OAuth 2.0, API keys, RBAC, scopes) applied to AI tool exposure
- 1+ years hands-on experience building long-running agents with LangChain and/or Google ADK
- 1+ years of demonstrated experience designing skill-based, modular agents with clearly defined capability boundaries
- 1+ years with RESTful APIs, async programming, and event-driven architectures
- Desired
- Experience with agent observability and tracing tooling (e.g.
- LangSmith, OpenTelemetry, Arize)
- Familiarity with tool schema design and structured output validation (e.g.
Responsibilities
- In this role, you'll be at the forefront of building Model Context Protocol (MCP) infrastructure — designing and implementing MCP servers and clients that power intelligent, tool-using agents.
- You'll work closely with AI developers, and product teams to deliver robust, secure, and scalable agent frameworks that drive real-world impact.
- In this role, you will:
Degrees
Associate
Industry
AutomotiveDefenseEducationEnergyInsuranceMedia
Relocation
Yes