Note: The job is a remote job and is open to candidates in USA. Alaris Acquisitions is a boutique sell side M&A advisory firm specializing in the wealth management industry. They are seeking an AI Forward Deployed Engineer to design, deploy, and improve AI solutions that automate M&A workflows and enhance the firm's operational efficiency.
Responsibilities
- Design and implement production grade AI agents using LLMs and agentic workflows within our AI platform
- Build agents capable of reasoning, tool use, and multi step workflow automation across financial analysis, seller due diligence, buyer matching, and onboarding
- Develop retrieval augmented generation (RAG) solutions connecting agents to firm knowledge and deal data
- Design evaluation frameworks to measure agent accuracy, reliability, and output quality
- Optimize prompts, orchestration logic, and inference performance
- Develop production quality logic in Python for agent workflows, data transformations, and custom automations
- Build and maintain integrations using REST APIs, webhooks, and OAuth to connect the AI platform to CRMs, document repositories, and internal databases
- Work with JSON for API payloads, agent configurations, and data interchange
- Integrate with tools such as Slack, Google Workspace and Microsoft 365, and deal tracking systems as needed
- Design data ingestion and preprocessing pipelines for multi modal data, including PDFs, spreadsheets, and other documents
- Build human in the loop review steps for critical agent outputs
- Monitor agent performance in production, troubleshoot issues, and maintain clear documentation of agent logic and known issues
- Lead technical discovery with internal stakeholders and translate M&A workflow needs into agent designs
- Communicate technical concepts clearly to non technical team members and leadership
Skills
- Strong Python development experience and comfort building production grade AI applications or agent based workflows
- Experience with Large Language Models, agentic AI systems, and strong prompt engineering skills
- Familiarity with retrieval augmented generation (RAG), tool calling, and AI evaluation frameworks
- REST API development and integration experience, including webhooks and OAuth
- Comfort with JSON based data structures
- Familiarity with Git and modern software engineering practices
- Strong communication skills and the ability to translate technical work into business value
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