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Sr. AI Software Engineer

Gabon

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Job Description

Sr. AI Software Engineer - part-time / remote

Expert Technical Solutions

  • Atlanta, GA
  • Remote
  • Quick Apply
  • $117.80K - $155.30K/yr
  • Estimated pay
  • Full-time, Part-time
  • Posted 7 hours ago

Job Description

Lead AI Software Engineer (Full Stack / RAG Focus)

  • Location: Remote (EST/CST preferred)
  • Employment Type: Part-Time (5–8 hrs/week to start; scalable to 15–20 hrs/week; potential Full-Time in 6+ months)
  • Reports To: Chief Executive Officer
  • Environment / Key Technologies: Python, Java, Firebase, GitHub, AWS/GCP, AI/LLM Systems, RAG Pipelines, API Integrations, TypeScript, Claude & modern LLM frameworks

Role Overview

Our client is seeking a hands-on Lead AI Software Engineer to serve as the senior technical authority across its AI-driven platform. This is a highly technical, execution-focused engineering role centered on backend architecture, RAG pipelines, AI model training workflows, API integrations, and production scalability. The platform has already been developed and is entering a scaling phase. This individual will serve as the final technical approval layer for pull requests, ensure architectural integrity, implement guardrails, and integrate AI systems across conversational workflows and structured training pipelines. Candidates must have real-world Retrieval-Augmented Generation (RAG) experience.

Key Responsibilities

  • Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines
  • Develop model training workflows and structured data ingestion systems
  • Integrate conversational AI workflows into scalable backend systems
  • Lead backend architecture and API integration efforts
  • Oversee Firebase and related data infrastructure
  • Review, approve, and merge pull requests in GitHub
  • Serve as final technical quality gate before production deployment
  • Implement AI guardrails and reliability controls
  • Partner with leadership to translate business objectives into technical execution

Required Qualifications

  • 5–10 years of software engineering experience
  • Proven experience designing and scaling production-grade platforms
  • Strong backend engineering expertise (APIs, integrations, data systems)
  • Hands-on experience building and deploying RAG pipelines
  • Experience training or fine-tuning AI/LLM systems
  • Conversational AI implementation experience
  • Experience with GitHub workflows and pull request approvals
  • Experience with Firebase or comparable data platforms
  • Strong knowledge of TypeScript and Python (Java a plus)
  • Cloud experience (AWS, GCP, or Azure preferred)

Preferred Qualifications

  • Experience in startup or early-stage growth environments
  • Familiarity with LangChain, AutoGen, CrewAI, or similar orchestration frameworks
  • Experience scaling AI-first SaaS platforms
  • Experience working in distributed or remote engineering teams
  • Exposure to voice or avatar-linked AI systems such as Eleven Labs (not required)

Success Metrics

  • Stable, scalable RAG pipeline architecture
  • High-quality backend integrations and clean API design
  • Strong pull request governance and production readiness
  • Seamless integration between conversational flows and AI models
  • Platform scalability without performance degradation

About Expert Technical Solutions

  • Industry: It services
  • Company size: 11 - 50 Employees
  • Headquarters location: Atlanta, GA, US
  • Year founded: 2010
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