Full-stack & AI Engineer
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Salary
≈ $53k – $138k per year (Estimated)
Location
Remote (Argentina, Brazil, Colombia, Mexico, Chile, Costa Rica, Paraguay, Peru, Uruguay)
Seniority
Senior · 5+ years exp
Employment
Part-Time
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 2, 2026.
Overview
Company
Impact
Profile match
Strider is a talent platform that helps companies in the United States hire vetted remote software developers from Latin America and other nearshore regions. Employers are matched with pre-screened engineers for dedicated teams or individual roles, while developers access remote jobs with international companies and support for career growth. The American company focuses on building nearshore development teams that work in North American time zones.
- This is a part-time role (25 hours/week) for a 1-month contract
- You will join a project-based engagement to deliver a proof of concept for a private legal research and document-editing platform, built to run over a law firm's own files and client records
- Confidentiality drives every decision: secure document handling, local infrastructure, and tightly controlled use of cloud-based LLM APIs
- The POC will cover 1-2 high-value workflows, to be finalized at kickoff, likely among search and retrieval across a private document collection, AI-assisted legal research, AI-assisted document analysis and editing, supplying relevant document context to an LLM, and a simple, practical web application wrapping these capabilities
- The intended architecture is primarily local: a web application running inside the client's environment, documents stored on a NAS, local indexing and search, secure retrieval, and OpenAI and/or Anthropic APIs invoked only with the minimum context required for each response
- You will help validate and refine that architecture instead of implementing a predetermined design, and you will operate with a high degree of independence, taking a high-level business objective from a non-technical client and turning it into a working product
- The POC succeeds when the client has a functional, secure application demonstrating the core workflow, can test it against representative documents, and has enough confidence to define what gets built next
- There is potential for continued development, maintenance, and future upgrades
- So, your responsibilities will be:
- Own the technical execution of the POC, from requirements through delivery
- Design and build the web application supporting the legal research workflow
- Implement document ingestion, indexing, search, and retrieval
- Integrate LLM APIs (e.g., OpenAI, Anthropic) into the application flow
- Validate and refine the proposed local/private architecture
- Implement security and privacy controls for confidential material
- Define what data can and cannot be sent to external APIs
- Deploy and document the initial application
- Address findings raised in a security-focused code review before delivery
- Work directly with the client to capture business requirements
- Translate business requirements into practical technical solutions
- Help define and prioritize the initial POC scope
- Manage development priorities and timeline independently
- Report progress and technical decisions directly to the client
- 5+ years of software development experience
- Experience building full-stack web applications
- Experience building LLM-powered applications with APIs (e.g. OpenAI, Anthropic)
- Experience with retrieval technologies (e.g. RAG, embeddings, semantic search, vector databases)
- Experience with document and data ingestion, indexing and search
- Proficiency with backend and API development
- Ability to architect, build and deliver a full project independently
- Deep understanding of application security and sensitive-data handling
- Strong communication skills in both spoken and written English
- Startup experience
- Freelance or consulting experience
- Experience working directly with non-technical clients
- Experience running projects end-to-end, from requirements to delivery
- Experience building AI-powered document applications
- Experience in LegalTech or with legal documentation
- Experience with enterprise search or knowledge-management systems
- Experience with on-premise or hybrid cloud architectures
- Experience with NAS and local infrastructure
- Experience handling confidential or otherwise sensitive data
- Bachelor's Degree in Computer Engineering, Computer Science, or equivalent
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