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3 jobs found

Today

AI Engineer

Valley National Bank Morristown, NJ

Morristown, NJ

Today

$98k - $172k/yr Full time Agent Orchestration Agentic Ai Ai Automation

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Job Description

Valley National Bank seeks an AI Engineer for an onsite role in Morristown, NJ, with a salary range of USD 98,400 to 171,900 per year.

Responsibilities

Assess existing business workflows to identify automation opportunities and AI driven improvements.
Architect, build, and maintain automation solutions using RPA tools such as UiPath alongside AI services.
Create and support intelligent workflows that orchestrate AI agents, decision logic, and cross-system coordination.
Develop and sustain Intelligent Document Processing solutions using OCR, document classification, data extraction, and validation.
Collaborate with business and technology stakeholders to translate requirements into scalable automation and AI implementations.
Produce and update technical documentation, solution designs, process maps, and standard operating procedures.
Conduct testing, monitoring, and optimization of deployed automation and AI solutions for reliability and performance.
Collect and analyze process and model performance metrics to drive continuous improvement.
Provide ongoing operational support and enhancements for existing automation and AI solutions.

Requirements

Minimum of 4 years of relevant experience in automation, AI, or related fields.
Education: High School Diploma or GED.
Solid understanding of business process analysis and modeling.
Familiarity with established frameworks for business process analysis and change management.
Knowledge of Robotics Process Automation concepts and tools, including UiPath.
Understanding of AI tools and current industry trends.
Ability to translate business requirements into functional application features.
Working knowledge of macros, programming, and SQL.
Proficient with the Microsoft Office suite (Word, Excel, PowerPoint, Visio).
Experience delivering services to internal stakeholders to achieve project objectives.
Strong problem solving, decision making, sound judgment, and assertiveness.
Excellent analytical and troubleshooting skills; general scripting skills are a plus.

Technologies

UiPath and related RPA tools
OCR and Intelligent Document Processing (IDP)
Microsoft Word, Excel, PowerPoint, Visio
SQL and Macros
Agentic AI, Generative AI, and Machine Learning

Additional details

Valley National Bank emphasizes growth potential and long standing client relationships. With nearly a century of operation, the bank supports clients with deep industry expertise and strategic guidance, managing more than $60 billion in assets, a team of about 3,800 specialists, and a network of over 200 consumer and commercial branches nationwide.

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Today

AI Engineer L1

Wipro Limited Bellevue, WA

Bellevue, WA

Today

$100k - $180k/yr Full time Agentic Ai Ai Agents Ai Infrastructure

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Job Description

Based in Bellevue, WA, this onsite AI Engineer L1 role offers a competitive annual salary range of USD 100,000 to 180,000. The position centers on designing Model Context Protocol MCP servers and tool integrations, implementing multi-agent Agent-to-Agent workflows, and building agentic AI frameworks to support enterprise-scale operations. It presents an opportunity to contribute to a scalable AI platform with a strong emphasis on reliability, observability, and governance across the stack.

Benefits

Medical benefits
Dental benefits
Disability insurance
Paid time off including sick leave
Other paid and unpaid leave options

Responsibilities

Architect MCP servers and tool integrations to expose enterprise APIs, data sources, and services to LLM agents for real-time context retrieval and action execution.
Design and implement Agent-to-Agent (A2A) communication protocols to enable multi-agent workflows where specialized agents collaborate, delegate tasks, and share context for complex autonomous operations.
Develop and maintain agentic AI frameworks using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and the Azure Agentic Framework to cover agent orchestration, tool usage, memory management, and dynamic task routing at scale.
Own the agentic platform tooling layer by crafting reusable agent components, overseeing agent lifecycles, and ensuring reliable, observable, and governed agent execution across the AI platform.
Apply expertise to design and develop MCP servers and tool integrations.

Requirements

Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and the Azure Agentic Framework.
Ability to design multi-agent workflows and multi-agent communication (A2A) protocols.
Experience in Enterprise Platform Engineering.
Proficiency in Python.
Experience: 8-10 years.

Technologies

LangChain
LangGraph
AutoGen
CrewAI
Semantic Kernel
Azure Agentic Framework
Model Context Protocol (MCP)
Python

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3d ago

AI Engineer

Cargomatic Remote 🌍 Remote

Remote

3d ago

$150k - $210k/yr Full time Agentic Ai Ai Integration Ai Workflows

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Job Description

Enjoy a remote‑first role with a competitive annual salary range of USD 150,000 to 210,000, along with medical, dental, and vision coverage, a 401K match program, and flexible PTO plus paid holidays. The position supports a collaborative, data‑driven culture centered on agentic automation to optimize logistics. You will contribute to building autonomous AI systems and automation tools that integrate with the TMS and RPA stack, all from a distributed team setting.

This role is remote and emphasizes cross‑functional collaboration with product, operations, and engineering to design, implement, and monitor intelligent automation across structured logistics workflows, driving measurable outcomes with a strong focus on safety and auditability.

Responsibilities

Design agentic AI workflows for structured logistics tasks, including explicit escalation to human review or RPA when deterministic processing is needed
Integrate automation workflows with core platforms and internal APIs, embedding them in the TMS and other systems, collaborating with frontend and backend engineers on implementation
Integrate LLMs, APIs, and data pipelines into robust production services, including data engineering integrations with Firestore and Redshift
Develop agentic AI systems capable of autonomous decision making and task execution
Own evaluation frameworks covering accuracy, latency, cost per call, fallback behavior, and exception handling
Implement guardrails, monitoring, and audit trails for production AI systems
Collaborate with Product and Operations to define success metrics prior to development
Leverage modern LLM ecosystems, including Claude‑based platforms and code‑first AI frameworks, to build intelligent agents and workflows
Stay up to date with advances in AI and ML, with emphasis on agent frameworks and automation tooling
Build lightweight frontend interfaces from product prototypes and collaborate with full‑stack engineering to productionize and scale successful prototypes

Requirements

At least 3 years of software engineering experience with hands‑on work shipping AI or automation systems in production enterprise environments
Strong understanding of agentic AI concepts, including tool usage, function calling, exception routing, and confidence handling at scale
Clear sense of where LLMs and agentic systems outperform RPA and where they do not
Comfortable collaborating with RPA developers and handing off structured outputs into downstream deterministic workflows
Experience with LLM APIs such as Claude and OpenAI, including prompt design, orchestration, and evaluation
Experience with workflow orchestration tools such as n8n, LangChain, Temporal, or equivalents
Familiarity with no‑code/low‑code automation tools including Zapier, with the ability to move beyond them when needed
Experience building rules‑based automation with structured inputs, exception handling, and audit trails
Familiarity with retrieval augmented generation (RAG) and vector databases
Experience integrating with TMS or ERP platforms and calling core platform APIs to execute production actions
Backend proficiency in Node.js; comfortable building lightweight interfaces with React; able to partner with full‑stack and data engineering teams to ship to production
AWS experience including Lambda, ECS, and S3
Familiarity with databases and data warehouses such as MongoDB, PostgreSQL/MySQL on RDS, Firestore, and Redshift
Experience integrating third‑party APIs and building microservices
Active GitHub history or demonstrated track record of shipping AI systems in production beyond prototypes

Technologies

Firestore
Redshift
Claude
OpenAI
n8n
LangChain
Temporal
Zapier
Node.js
React
AWS Lambda
AWS ECS
AWS S3
MongoDB
PostgreSQL
MySQL
GitHub

Benefits

Competitive compensation
Medical, dental, and vision benefits
401K company match program
Flexible paid time off and paid holidays

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