Applied AI Engineer
At a glance
Mid-level AI Engineering role at comcapholdings. Buenos Aires · contract.
Pay not stated Applied AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI tools for company research, document review, meeting notes and reporting
- Connect AI applications to internal tools, CRM platforms and company data
- Automate repeat work and track gains in efficiency and accuracy
- Check AI results, add human review where needed and safeguard confidential information
- Maintain solutions, document workflows and train team members
What you bring
- A computer science, software engineering or data science degree, or equivalent hands-on experience
- Two to four years in software development or automation, including at least one year building AI applications
- Strong Python, API and SQL skills, plus practical use of OpenAI or Anthropic APIs in business workflows
- Experience checking AI outputs and familiarity with document processing and retrieval-augmented generation
- Strong English communication and availability during US business hours
Who this fits
This contractor role suits a mid-level engineer who has built AI applications and can connect them to business systems. You’ll need to work during US business hours and provide an example of an AI project you personally built; shortlisted candidates will discuss their work and complete a practical assessment.
From the employer
About ComCap
ComCap is a boutique investment bank specializing in M&A, capital raising, and strategic advisory for technology and digital commerce companies.
We’re seeking an Applied AI Engineer to build practical AI tools and automation across investment banking, research, and operations. You’ll work with our teams to turn business needs into reliable, integrated workflows.
Responsibilities
- Build AI solutions for company research, document analysis, meeting summaries, and reporting.
- Integrate AI with internal systems, CRM platforms, and company data.
- Automate recurring tasks and measure improvements in efficiency and accuracy.
- Validate AI outputs, implement human review where needed, and protect confidential information.
- Maintain solutions, document processes, and train team members.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
- 2–4 years of software development or automation experience, including at least 1 year building AI applications.
- Strong Python skills and experience with APIs and SQL.
- Hands-on experience building AI applications using OpenAI or Anthropic APIs, including integration with business systems and validation of AI outputs.
- Familiarity with document processing and retrieval-augmented generation (RAG).
- Strong English communication skills and availability during US business hours.
- Financial services experience is a plus.
How to Apply
Submit your résumé and a link to your GitHub, portfolio, or recorded demonstration of an AI solution you personally built. A project example is required. Briefly explain the problem it solves, your contribution, and the results. Ensure links are accessible for review.
If your previous work is confidential, provide a personal project or a demonstration using sample data. Do not share proprietary code or client information.
Shortlisted candidates will be asked to walk us through their work and complete a brief practical assessment.