Agentic Ai Engineering

Agentic Ai Engineering Data Jobs

3 jobs found

Today

AI Engineer

Persistent Charlotte, NC

Charlotte, NC

Today

Full time Agent Orchestration Agentic Ai Engineering Agentic Systems

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Job Description

Persistent is hiring an AI Engineer to build production-grade, agentic AI solutions in a hybrid environment in Charlotte, North Carolina. In this role, you will design and integrate AI agents with enterprise systems to strengthen automation capabilities, with an emphasis on reliability, performance, and production stabilization.

What you’ll do

Design and develop production-grade Agentic AI solutions using Python and Google ADK.
Build reusable components including agents, tools, prompts, context-management, and orchestration workflows.
Translate business and process requirements into scalable automation solutions.
Integrate agents with Systems of Record (SORs), REST APIs, databases, and legacy banking systems.
Support quality and delivery through unit testing, code reviews, technical UAT, debugging, and production deployment.
Troubleshoot and tune agent behavior, prompts, context, integrations, and workflows to improve accuracy and reliability.
Develop reusable patterns and components, and help with production stabilization.
Collaborate with Product Owners, SMEs, SOR Engineers, and platform teams, providing technical guidance and documentation.

What you bring

4–9 years of software development experience with strong Python skills.
Hands-on experience in Agentic AI and GenAI application development.
Experience with Google ADK or a comparable agent framework.
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.
Solid 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.

Technologies

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

Benefits

Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Preferred skills

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

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1d ago

AI Engineer

Barclays Henderson, NV

Henderson, NV

1d ago

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

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Job Description

Barclays is hiring an AI Engineer, AVP to build and deploy AI and GenAI applications that turn the bank’s data into actionable insight. This contract role (onsite in Henderson, NV) focuses on practical delivery across RAG, conversational AI, and agentic workflows, alongside the data, cloud, and MLOps/LLMOps foundations needed to run production capabilities responsibly.

What you’ll do

Build and deploy AI/GenAI applications including Retrieval-Augmented Generation (RAG), conversational AI, agentic workflows, and intelligent automation solutions.
Design scalable backend services, APIs, and integrations that connect AI models with enterprise data platforms and business applications.
Architect and manage cloud-native AI workloads on containerized platforms, including Kubernetes and Amazon EKS.
Develop and maintain CI/CD pipelines, infrastructure-as-code, model deployment frameworks, monitoring, and operational telemetry.
Implement 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.
Apply MLOps/LLMOps practices such as model versioning, automated testing, deployment, observability, rollback, and lifecycle management.
Partner with business and technology stakeholders to deliver production-ready AI capabilities while adhering to governance, security, and audit requirements.

Data and model work

Identify, collect, and extract data from internal and external sources.
Perform data cleaning, wrangling, and transformation to ensure data quality and analysis readiness.
Design and maintain data pipelines for automated data acquisition and processing.
Design and conduct statistical and machine learning modeling to analyze patterns, trends, and relationships.
Develop and implement predictive models to forecast outcomes and identify risks and opportunities.
Collaborate with stakeholders to find ways to add value from data through Data Science.

Influence, delivery, and leadership

Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness in collaboration with other functions and business divisions.
Lead complex work impacting the whole business function by setting objectives, coaching employees, and supporting performance appraisal and reward outcomes.
Model leadership behaviors aligned to LEAD: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
If acting as an individual contributor, lead collaborative assignments and guide team members through structured work, including coordinating cross-functional specialisms.
Consult on complex issues and provide advice to People Leaders for escalated issue resolution.
Identify ways to mitigate risk, develop policies and procedures for control and governance, and strengthen controls through risk ownership.
Engage in complex analysis across multiple internal and external information sources, communicate complex information when needed, and influence stakeholders to achieve outcomes.

Technologies you may use

Retrieval-Augmented Generation (RAG), Kubernetes, Amazon EKS
CI/CD pipelines, infrastructure-as-code, VPC architecture
API gateways, DNS, MLOps, LLMOps
Model versioning, observability, rollback

Compensation and eligibility

Salary: USD $165,755 - $175,000 per year. The position is eligible for incentives pursuant to the Barclays Employee Referral Program.

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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

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Job Description

Dell Technologies’ Services Operations AI Transformation team is building production-ready agentic AI capabilities to support operational teams. In this role, you will work closely with business stakeholders to design, build, deploy, and govern AI agents powered by large language models and enterprise data, with a focus on measurable business outcomes and scalable adoption.

This on-site position is based in Hopkinton, MA, with a salary range of USD 96,000 - 132,000 per year.

What you’ll do

Collaborate with operations teams to analyze workflows, identify automation opportunities, and translate 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 continuously improve accuracy and adoption
Handle AI portfolio intake, including tracking, governance, and stage-gate processes to support delivery and compliance with enterprise standards
Produce reusable templates, documentation, and best practices to enable broader adoption and scalable delivery across multiple business domains

What you’ll bring

2+ years of experience in software engineering, data science, machine learning, technical consulting, or a related technical field
A Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience
Strong Python skills with experience building, enhancing, 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
Proven ability to partner with business stakeholders, produce clear technical specifications, manage multiple priorities, and take solutions from concept through production

Technologies you may work with

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

Desirable

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

Compensation: The salary range for this position is $96,000 to $132,000.

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