Software Engineer

Atlantic Group; New York (NY); Presencial; USD 140.000 - 210.000; Jornada completa

Descripción de la vacante

Atlantic Group is seeking a Software Engineer (Data) for their Midtown Manhattan office to advance the production AI platform used in private credit investment operations. You will work with investment, investor relations, and operations teams to design, build, deploy, and support AI systems used across the firm.

Responsibilities include extending the memo pipeline, automating DDQ processes, and developing retrieval infrastructure with strong emphasis on provenance and verification of outputs

Formación

• Experience with LLM application patterns, agents, and vector search.
• Proficiency with AI development tooling and verification of generated code.
• Track record of designing, building, and shipping production software.

Responsabilidades

• Own and extend production AI systems (memo pipeline, DDQ automation, retrieval over documents).
• Develop provenance tracking, source attribution, and review workflows.
• Build and maintain agent infrastructure (harnesses, skills, subagents, tool integrations).
• Manage projects end-to-end from design to production support.
• Translate investment workflows into reliable tools with cross-functional teams.

Conocimientos

LLM patterns

Agents & prompts

Vector search

Code verification

Independent design

Herramientas

Claude Code

Cursor

OpenAI SDK

Vector databases

Descripción del empleo

Our client is a $9.3B AUM private credit investment firm providing bespoke credit solutions to stakeholders and management teams of U.S. middle market companies requiring capital support for growth, acquisitions, operational challenges, and financial distress.

They are seeking a full-time Software Engineer (Data), AI Platform to work fully onsite out of their Midtown Manhattan office. This reports to an awesome gentleman who we placed there directly.

Position Summary

Our client has developed a production AI platform that supports the firm's investment process, including automated investment memo generation, due diligence questionnaire (DDQ) automation, and retrieval systems over complex financial documents.

The Software Engineer will be an integral part of the team responsible for this platform, working alongside its lead engineer and directly with investment, investor relations, and operations professionals to design, build, deploy, and support production AI systems used across the firm.

Key Responsibilities

• Own and extend production AI systems, including the investment memo pipeline, due diligence questionnaire (DDQ) automation, and retrieval (RAG) infrastructure over financial documents
• Develop provenance tracking, source attribution, and review workflows that enable investment professionals to verify generated output against source documents
• Build and maintain the platform’s agent infrastructure, including harnesses, skills, subagents, and tool integrations
• Manage projects end-to-end, including design, implementation, deployment, and ongoing production support
• Partner with investment, investor relations, and operations professionals to translate their workflows into reliable tools

Key Qualifications

• Hands-on experience with LLM application patterns, including agents, prompt and context engineering, retrieval-augmented generation, vector search, and evaluation frameworks
• Proficiency with AI-assisted development tooling (e.g., Claude Code, Cursor) as a primary development mode, with strong judgment regarding verification of generated code
• Demonstrated record of independently designing, building, and shipping production software
• Experience in financial services or other document-heavy, compliance-sensitive domains preferred; experience with vector databases, document parsing, Anthropic/OpenAI agent SDKs (+)