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Software Engineer 4/AI Concepts

Mindlance

CHARLOTTE, NC

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JOB DETAILS
SKILLS
Artificial Intelligence (AI), Banking Services, Business Case, Cloud Applications, Cloud Computing, DevOps, Engineering, Finance, GCP (Good Clinical Practices), Information Retrieval, Internet Security, Java, Leadership, Mainframe Computer, Maintain Compliance, Microsoft .NET, Microsoft Windows Azure, Modeling Languages, Product Planning, Python Programming/Scripting Language, Regulatory Compliance, Risk, Risk Analysis, Software Development Lifecycle (SDLC), Software Engineering, Staff Requirements, Technical Strategy, Test Driven Development (TDD), Use Cases, User Interface/Experience (UI/UX)
LOCATION
CHARLOTTE, NC
POSTED
30+ days ago
Project Title: Software Engineer 4/AI Concepts
Project Duration: 12 Months, possibility to extend or convert
Locations:
Raleigh, NC (1100 Corporate Center Dr) - Slight preference
Charlotte, NC (CIC preferred)
Irving, TX
Interview Process: 1 hour virtual technical interview

Top Skills:
  • 5-10 years of engineering experience (could be Java Engineers who transitioned to Python)
  • 2+ years of Python engineering
  • AI concepts (know frameworks for building agents, tech agnostic)
  • SDLC
Nice to Have:
  • Finance experience
  • Security practice experience, Cybersecurity is critical (Working with DII and other similar data)
  • AI certifications from Amazon or Google help to demonstrate knowledge.
  • Some members of the team have Masters in AI, but prefers experience over untested training

Job Description:
Are you a Lead Engineer that is passionate about efforts in designing, developing, and implementing cutting-edge services that utilize Generative AI Models? Clients is seeking a Engineer to be part of the development and delivery of generative AI-driven applications for internal use.

At Clients, we have an incredibly talented team that is responsible for empowering developers to build advanced agentic AI capabilities into their applications. By leveraging the latest Generative AI models, tools, and knowledge, we enable the rapid creation of customized, stateful AI applications grounded in enterprise data, capable of handling a wide array of tasks. This role will be within Technology of the Chief Operating Officer (TCOO) and will play a pivotal role in designing and implementing solutions safely utilizing large language models (LLMs). The successful candidate will have a strong technical background, proven leadership experience, and a focus on delivering safe, accurate, and user-centric solutions in an enterprise environment.

In this role, you will:
  • Accelerate business use cases via Agentic AI with focus on using frameworks like Agent Development Kit (ADK) and LangChain.
  • Have strong background in MLOps and LLMOps.
  • Ensure adherence to the Banking Platform Architecture and meeting non-functional requirements with each release.
  • Engage with architects and experienced engineers to incorporate Clients Technology technical strategies, while understanding next generation domain architectures to enable application migration paths to target architecture. For example, Mainframe to Java migration; or .Net and Java version migration.
  • Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards.
  • Conduct peer reviews to evaluate quality and solution alignment to technical direction.
  • Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk.
  • Influence technology requirements and priorities in the product roadmaps.

Required Qualifications:
  • 5+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of strong understanding of multi-cloud environments (Azure, GCP, OpenShift) and hands-on experience with cloud-native development and/or Cloud migration of applications
  • 1+ years knowledge of retrieval-augmented generation (RAG) and/or agentic workflows in generative AI applications

Desired Qualifications:
  • Proficiency in DevOps tools and practices, including infrastructure as code.
  • Strong experience collaborating with product and business stakeholders to deliver valuable and user-centric solutions.
  • Financial industry experience or familiarity with regulatory and compliance requirements.
  • Demonstrated ability to balance technical excellence with business priorities.
  • Expertise in test-driven development methodologies.
  • Cybersecurity and Risk Mindset: proactively identifies risks and integrates secure practices into development workflows.
  • End-user experience focused: delivers intuitive, valuable solutions that align with employee needs.
  • Mission-aligned: shares Client s vision of transforming the employee experience through generative AI.

EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

M

Mindlance

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