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, Financial Services.

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

---

About the Role

Confidential Client is hiring an Associate-level Software Engineer to join the Corporate Planning & Management (CPM) Engineering team in New York, NY. CPM Engineering builds enterprise-grade platforms that power financial planning, expense management, third-party risk, sustainability strategy for operations and supply chain, and decision-support tools used across the firm.

This is a hands-on full-stack engineering role where you will deliver solutions that cross data and platform boundaries and leverage modern AI/GenAI techniques to accelerate development and improve platform capabilities.

---

Why This Role Stands Out

• Direct business impact — your work will shape how the organization plans, forecasts, and makes strategic decisions.
• Work on enterprise-wide systems (not one-off apps) that improve transparency, controls, efficiency, and scalability.
• Cross-functional exposure — partner with finance, procurement, product, and risk stakeholders across a global organization.
• Use modern cloud-native architectures, distributed systems, and applied AI/agentic frameworks.

---

What You’ll Do

• Design, develop, and maintain full-stack applications across the software lifecycle: requirements, architecture, implementation, testing, and deployment.
• Build responsive front-end experiences and robust back-end services that power financial planning, expense management, and risk platforms.
• Integrate AI-assisted development practices (code-generation assistants, LLM productivity tools, prompt engineering) into the engineering workflow to improve velocity and quality.
  • Architect and deliver multi-agent AI systems, including orchestrator and subagent topologies.
  • Build and maintain knowledge graphs and RAG (retrieval-augmented generation) systems for document and data retrieval.
  • Establish governance frameworks for AI systems that cover logging, explainability, and auditability.
  • Document and promote agentic software development best practices.
• Collaborate with sponsors, product owners, and engineers globally to deliver end-to-end solutions that meet complex business requirements.
• Participate in and lead code reviews focused on quality, maintainability, and engineering best practices.
• Take technical ownership of features and components, managing multiple stakeholders and driving delivery in a global team.
• Stay current with AI/ML and software engineering advancements and bring improvements into the platform.

---

Minimum Qualifications (Required)

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 3+ years professional software development experience.
• Proficiency in Java (preferred) or another major language such as Python, with willingness to upskill as needed.
• Full-stack development experience — comfortable building front-end (React, JavaScript/TypeScript) and back-end (Java, Spring, REST APIs) components.
• Strong computer science fundamentals: algorithms, data structures, and software design.
• Excellent development skills: debugging, testing, and code optimization.
• Experience using AI tools to assist software development (AI-assisted coding, LLM-based tools, automated code review).
• Foundational knowledge of AI and agentic systems: LLMs, prompt engineering, RAG, embeddings, etc.
• Familiarity with cloud-native solutions (AWS).
• Ability to manage technical ownership and work effectively with global, cross-functional teams.

---

Preferred Qualifications (Nice to Have)

• Experience with distributed databases, Elasticsearch, or large-scale indexing.
• Familiarity with open-source messaging and streaming systems (Kafka).
• Strong UNIX/Linux systems experience (performance tuning and distributed-system debugging).
• API design experience, message buses, or real-time processing systems.
• Practical exposure to GenAI techniques: RAG pipelines, model fine-tuning, LangChain/AutoGen-style frameworks, vector DBs.
• MLOps exposure: CI/CD for ML, model deployment and monitoring.
• Domain knowledge of financial planning, expense management, or enterprise risk systems.

---

We Offer

• Opportunity to build high-impact platforms used across the enterprise.
• Exposure to modern cloud-native and AI-first engineering practices.
• Collaborative team environment with strong learning and growth opportunities.
• Work on complex, meaningful problems with visible business impact.

---

Workplace & Hiring Details

• Employment type: Full-time (Associate level)
• Location: New York, NY (on-site / hybrid as defined by our client)
• Hiring organization: Confidential Client (via Careertakes)

Confidential Client is committed to reasonable accommodations for candidates with disabilities during the recruiting process. If you require an accommodation, please indicate that during the process so we can assist.

---

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.