About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Banking.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Position Summary

Confidential Client is hiring a Software Engineer - AI to design, build, test, deploy, and support secure, scalable AI-enabled applications and integrations. This entry-level, full-time role works across the full solution lifecycle — from requirements and architecture through deployment, monitoring, and continuous improvement — with a strong focus on responsible AI, data protection, and secure engineering practices in a regulated banking environment.

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What You’ll Do

Confidential Client’s AI engineering team builds generative AI apps, intelligent agents, retrieval-augmented generation (RAG) solutions, document intelligence, predictive models, APIs, and automation. In this role you will:

• Design, develop, test, and maintain secure, modular, and reusable applications and services.
• Build generative AI features, knowledge search, conversational interfaces, and RAG solutions.
• Implement integrations with enterprise APIs, data platforms, document repositories, and workflow tools.
• Prepare and transform structured and unstructured data for grounding, embeddings, and model consumption.
• Create and execute unit, integration, security, performance, and AI-specific tests and evaluations.
• Implement guardrails, human-review controls, auditability, and validation appropriate to each use case.
• Build and maintain CI/CD, MLOps, and GenAIOps processes for approved solutions and monitor production health.
• Partner with product owners, data engineers, cloud engineers, information security, enterprise risk, and compliance to deliver solutions that balance innovation with regulatory requirements.
• Produce clear technical documentation, architecture diagrams, test evidence, and operational runbooks.

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Typical Task Allocation

• 35% — Solution development (applications, RAG, agents, document intelligence).
• 15% — Integration & engineering (APIs, data pipelines, grounding).
• 10% — Quality, testing & responsible AI (validation, bias, security).
• 10% — Deployment, monitoring & lifecycle management (CI/CD, observability).
• 10% — Requirements, architecture & delivery (design, estimation, stakeholder alignment).
• 10% — Project management and strategic alignment (scoping, backlogs, ROI tracking).
• 10% — Research, documentation & support (POCs, design reviews, demos).

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Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Information Systems, or equivalent education/experience.
• Minimum of 2 years professional software development experience.
• Experience building applications or services with Python, C#/.NET, JavaScript/TypeScript, or Node.js.
• Experience developing REST APIs and working with modern web frameworks.
• Hands-on experience or applied projects in AI, ML, NLP, generative AI, or intelligent automation.
• Familiarity with SQL, relational databases, structured and unstructured data, and APIs.
• Strong software engineering fundamentals: source control, modular design, automated testing, secure coding, code review, and CI/CD.
• Authorized to work for any employer in the U.S. (Confidential Client is not able to sponsor visas).

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Preferred (Nice-to-Have)

• Experience with Azure AI services, Azure OpenAI, Azure Machine Learning, Copilot Studio, Microsoft Foundry, Microsoft Fabric, or comparable cloud AI platforms.
• Experience with prompt engineering, embeddings, vector search, RAG, AI agents, and model lifecycle management.
• Experience in a regulated industry (financial services preferred).
• Certifications in Microsoft Azure, AI, software development, or DevOps.
• Familiarity with MLOps/GenAIOps practices and instrumentation for model evaluation and observability.

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Skills & Abilities

• Ability to evaluate AI outputs for accuracy, relevance, bias, privacy, security, and fitness for purpose.
• Familiarity with responsible AI, data governance, model risk, and human-in-the-loop controls.
• Experience using Azure DevOps or GitHub, infrastructure as code, and cloud-native solution patterns.
• Strong analytical, troubleshooting, problem-solving, and communication skills.
• Ability to explain AI capabilities, limitations, risks, and technical design decisions to technical and nontechnical stakeholders.
• Self-motivated, able to manage multiple initiatives, document solutions thoroughly, and adapt as AI technologies evolve.

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Compensation & Benefits

Pay Range: $73,600.00 - $98,141.00 (annual)

Confidential Client offers a competitive total rewards package, which may include:

• Generous paid time off (at least 22 days annually, prorated in year of hire).
• Parental leave (six weeks paid at 100% of salary).
• Comprehensive medical, dental, and vision coverage with employer contributions to HSA for eligible plans.
• Flexible spending accounts, employer-paid disability coverage, life insurance, and voluntary benefits.
• Retirement plans including 401(k) with employer match, option for Roth 401(k), and pension where applicable.
• Tuition reimbursement, employee assistance programs, adoption assistance, pet insurance, and financial services benefits.
• Flexible work arrangements and wellness initiatives.

(Actual benefits eligibility may vary by employment type and hours worked. See Confidential Client for details.)

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Working Conditions & Physical Requirements

• Primarily stationary work (approximately 75% of the time).
• Ability to move objects up to 10 lbs.
• Communicate effectively with internal and external stakeholders.

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Why Join Confidential Client

Confidential Client supports professional growth, community involvement, and a collaborative culture that values diverse perspectives. The team invests in training, mentorship, and meaningful projects where your contributions directly improve customer and employee experiences using responsible AI.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.