Agentic Ai Engineering

Agentic Ai Engineering Jobs

3 jobs found

Today

AI Engineer

Persistent Charlotte, NC

Charlotte, NC

Today

Full time Agent Orchestration Agentic Ai Engineering Agentic Systems

Apply Now

Job Description

Persistent is seeking an Agentic AI Developer in Charlotte, NC (hybrid) to design and build production-grade Agentic AI solutions that strengthen automation across enterprise systems. This role blends hands-on AI engineering with reliability-focused development, partnering with Product Owners, SMEs, SOR Engineers, and platform teams to deliver agent capabilities that perform in real environments.

What you’ll deliver

You will build and stabilize agent-driven automation by designing reusable building blocks and integrating agents with mission-critical systems. The work includes engineering workflows and orchestration patterns, then validating, troubleshooting, and deploying solutions with strong engineering fundamentals.

Design and develop production-grade Agentic AI solutions using Python and Google ADK
Build reusable agents, tools, prompts, context-management, and orchestration workflows
Translate business and process needs into scalable automation solutions
Integrate agents with Systems of Record (SORs), REST APIs, databases, and legacy banking systems
Conduct unit testing, code reviews, technical User Acceptance Testing (UAT), debugging, and production deployment
Troubleshoot and tune agent behavior, prompts, context, integrations, and workflows to improve accuracy and reliability
Create reusable patterns and components to support production stabilization
Collaborate across Product Owners, SMEs, SOR Engineers, and platform teams; provide technical guidance and documentation

Core skills and experience

4–9 years of software development experience with strong Python skills
Hands-on experience in Agentic AI / GenAI application development
Experience with Google ADK or comparable agent frameworks
Strong understanding of Prompt Engineering and Context Engineering
Experience with agent/tool orchestration and workflow design
Strong knowledge of REST APIs, JSON, authentication, SQL/databases, and enterprise integrations
Strong engineering fundamentals including Git, unit testing, debugging, exception handling, and root-cause analysis
Experience with technical UAT and production troubleshooting
Excellent communication, stakeholder management, and problem-solving skills

Tech you’ll use

Python, Google ADK, REST APIs, JSON, SQL
Git, LangGraph, LangChain, CI/CD, QA automation

Preferred strengths

Experience with LangGraph and LangChain
Familiarity with banking/SOR systems
Knowledge of LexisNexis and Devin
Experience with CI/CD and QA automation

Benefits and culture

Persistent offers a competitive salary and benefits package, along with a culture focused on talent development through quarterly growth opportunities and company-sponsored higher education and certifications. You’ll also have the opportunity to work with cutting-edge technologies and participate in employee engagement initiatives such as project parties, flexible work hours, and Long Service awards. Annual health check-ups are included.

Insurance coverage includes group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.

View full job page →

1d ago

AI Engineer

Barclays Henderson, NV

Henderson, NV

1d ago

$166k - $175k/yr Contract Backend Developer Agentic Ai Engineering Artificial Intelligence

Apply Now

Job Description

Barclays is seeking an AI Engineer, AVP to build and deploy AI and GenAI capabilities that can be used in production settings. The role focuses on using data analytics and machine learning to uncover insights from the bank’s data, support strategic decision-making, and advance innovation across the organisation.

This contract position is based in Henderson, NV on site, with a salary range of USD 165,755 to 175,000 per year.

What you will do

Build and deploy AI/GenAI applications including Retrieval-Augmented Generation (RAG), conversational AI, and agentic workflows, along with intelligent automation solutions.
Design and develop scalable backend services, APIs, and integrations that connect AI models with enterprise data platforms and business applications.
Architect and manage cloud-native AI workloads running on containerized platforms such as Kubernetes and Amazon EKS.
Develop and maintain CI/CD pipelines, infrastructure-as-code, model deployment frameworks, monitoring, and operational telemetry.
Design secure networking solutions including VPC architecture, private connectivity, load balancing, service-to-service communication, API gateways, DNS, and network security controls.
Optimize AI application performance, scalability, availability, and cost efficiency across computing, storage, and networking layers.
Implement MLOps/LLMOps practices such as model versioning, automated testing, deployment, observability, rollback, and lifecycle management.
Partner with business and technology stakeholders to deploy production-ready AI capabilities while meeting governance, security, and audit requirements.
Identify, collect, and extract data from internal and external sources.
Perform data cleaning, wrangling, and transformation to ensure data quality and suitability for analysis.
Develop and maintain data pipelines for automated data acquisition and processing.
Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships.
Develop and implement predictive models to forecast outcomes and identify risks and opportunities.
Collaborate with business stakeholders to find ways to add value from data through Data Science.
Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness.
Lead team delivery of complex tasks by setting objectives, coaching employees, assessing performance against objectives, and determining reward outcomes.
Demonstrate the People Leader LEAD behaviours: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others.
For an individual contributor route: lead collaborative assignments, guide team members through structured work, determine when additional specialisms are needed, and identify new directions for assignments or projects.
Consult on complex issues, provide advice to People Leaders for escalated issues, and contribute to risk mitigation through policies and procedures aligned to control and governance.
Take ownership for managing risk and strengthening controls related to the work performed.
Perform closely related work requiring understanding of how sub-function areas coordinate toward organisational objectives.
Collaborate with other areas to stay aligned with business activity and strategy.
Conduct complex analysis of data from multiple internal and external sources to solve problems creatively and effectively.
Communicate complex information and influence stakeholders to achieve outcomes.

Technologies

Retrieval-Augmented Generation (RAG)
Kubernetes
Amazon EKS
CI/CD pipelines
Infrastructure-as-code
VPC architecture
API gateways
DNS
MLOps
LLMOps
Model versioning
Observability
Rollback

Benefits

Eligible for incentives pursuant to the Barclays Employee Referral Program.

Purpose of the role

Use innovative data analytics and machine learning to extract valuable insights from the bank’s data reserves. Apply those insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

View full job page →

1d ago

Senior Analyst, Agentic AI Engineer

Dell Technologies Hopkinton, MA

Hopkinton, MA

1d ago

$96k - $132k/yr Full time Backend Developer Agentic Ai Engineering Artificial Intelligence

Apply Now

Job Description

Dell Technologies is seeking a Senior Analyst, Agentic AI Engineer to support the Services Operations AI Transformation team. In this onsite role in Hopkinton, MA, you will embed with operational groups to design, build, deploy, and govern agentic AI solutions that use large language models and enterprise data.

The focus is on scaling practical enterprise AI adoption through production-grade systems, clear evaluation, and measurable business outcomes.

Key Responsibilities

Work with operations teams to assess workflows, spot automation opportunities, and convert business processes into scalable AI agent specifications
Design, develop, test, and deploy AI-powered agents and workflows using large language models, retrieval systems, and enterprise data sources
Establish evaluation frameworks, monitor production performance, troubleshoot issues, and improve accuracy and adoption over time
Handle AI portfolio intake, including tracking, governance, and stage-gate execution to support successful delivery and compliance with enterprise standards
Create reusable templates, documentation, and best practices to enable broader adoption and scalable AI delivery across multiple business domains

Required Qualifications

2+ years of experience in software engineering, data science, machine learning, technical consulting, or a related technical field
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline (or equivalent practical experience)
Strong Python skills, including building, improving, and maintaining production-quality applications
Hands-on experience delivering AI or LLM-powered solutions, including prompting, tool integration, retrieval-augmented generation (RAG), workflow orchestration, and evaluation techniques
Ability to collaborate with business stakeholders, produce clear technical specifications, manage competing priorities, and deliver from concept through production

Tools and Technologies

Python
Large language models
Retrieval systems
Retrieval-augmented generation (RAG)
Workflow orchestration
GitHub Copilot
DataRobot
Windsurf
Jira/Confluence

Desired Qualifications

Experience with AI development tools and platforms such as GitHub Copilot, DataRobot, Windsurf, or comparable technologies
Familiarity with enterprise delivery practices, including architecture reviews, security and governance requirements, Jira/Confluence workflows, portfolio management, and executive reporting

Compensation

Salary range: $96,000 to $132,000 per year.

View full job page →

Agentic Ai Engineering Jobs

AI Engineer

AI Engineer

Senior Analyst, Agentic AI Engineer

Get Agentic Ai Engineering Jobs alerts