Software Engineer (New Grad)

Alldus International Consulting Ltd; New York (NY); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Salary: $130k - $140k

Equity

Medical, dental, vision insurance

401(k) match

Job summary

Alldus International Consulting Ltd is recruiting a graduate or early-career Software Engineer in New York to design, build, and deploy production-grade AI agent systems for financial workflows. You will own context engineering, prompting, tooling, evaluations, guardrails, and the broader product experience.

Responsibilities include building robust data pipelines, enabling AI systems to reason across transactions and ledgers, and delivering secure, auditable AI-driven actions within enterprise

Qualifications

• Pursuing or recently graduated with a CS/ML/AI degree.
• At least one meaningful internship in software or AI engineering.
• Experience building AI agents or generative AI systems in research, work or projects.

Responsibilities

• Design, build and deploy AI agents for finance and audit workflows with guardrails.
• Develop context-engineering strategies for AI reasoning across transactions and policies.
• Build data pipelines from ERPs, banking systems and CRMs.
• Explain decisions, handle uncertainty and improve via human feedback.
• Create reliable, stateful workflows across enterprise systems.
• Ensure AI-driven actions are secure and auditable to financial records.
• Contribute across LLMs, backend, infra and product development.
• Utilize modern AI tools to accelerate delivery with quality and reliability.

Skills

AI agent dev

Python

LLM tooling

Prompt engineering

Context engineering

Backend dev

Ownership

Team collaboration

Open-source projects

Education

Bachelor's or Master's in CS/ML/AI

Tools

Claude Code

Cursor

Job description

Our client, an AI-driven FinTech company, is hiring a graduate or early-career Software Engineer to join their team in New York. The successful candidate will build and develop production-grade AI agent systems that solve complex, real-world financial challenges, while also taking ownership across context engineering, prompting, tooling, evaluations, guardrails, infrastructure and the broader product experience.

Responsibilities

• Design, build and deploy reliable AI agents for finance and audit workflows, with strong verification, guardrails, observability and evaluation frameworks.

• Develop context-engineering strategies that enable AI systems to reason effectively across transactions, ledgers, contracts, policies and historical financial decisions.

• Build robust data pipelines that ingest, standardise, reconcile and process information from ERPs, banking systems, payroll, billing platforms, CRMs and other enterprise applications.

• Develop AI agents capable of explaining decisions, recognising uncertainty, escalating exceptions and improving through human feedback.

• Design resilient, long-running agentic workflows that operate reliably across complex, stateful and interconnected enterprise systems.

• Build secure and fully traceable mechanisms for writing AI-driven actions back to financial systems of record, ensuring accuracy and auditability.

• Contribute across the full technology stack, including LLM systems, backend engineering, infrastructure, data and user-facing product development.

• Leverage modern AI development and coding tools to accelerate delivery while maintaining high standards of engineering quality and reliability.

• Collaborate directly with CFOs, controllers, accountants, and finance teams to understand operational challenges and translate them into production-ready solutions.

• Take ownership of technical decisions, feature development and delivery, independently driving work from initial problem definition through to production.

Skillset

• Currently completing a Bachelor's or Master's degree or recently graduated, ideally in Computer Science, Machine Learning, Artificial Intelligence or similar.

• At least one meaningful internship in software engineering, machine learning or AI engineering, with exposure to building real-world technology.

• Practical experience developing AI agents, LLM-powered applications, or generative AI systems through professional experience, research, academic work or personal projects.

• Good understanding of prompt engineering, context engineering, tool use, model evaluation, verification and AI agent reliability.

• Hands-on experience using AI-assisted development tools such as Claude Code, Cursor or similar coding agents.

• Strong software engineering fundamentals with proficiency in Python or another modern programming language, such as C++, Java, Go or Rust.

• Ability to quickly learn unfamiliar technologies and domains and translate complex business workflows into effective software solutions.

• Comfortable contributing across multiple areas of the technology stack, including backend engineering, infrastructure, AI/LLM systems and product development.

• A proactive, ownership-driven approach, with strong problem-solving skills, curiosity and the ability to independently scope and deliver work.

• Evidence of building and delivering substantial technical projects, such as production applications, research prototypes, open-source contributions, side projects or hackathon solutions.

Benefits

• Salary: $130k - $140k

• Equity:

• Comprehensive medical, dental, and vision insurance.

• 401(k) match.