Expert Technical Solutions is a company focused on IT services, and they are seeking a hands-on Lead AI Software Engineer to serve as the senior technical authority across its AI-driven platform. This role is centered on backend architecture, RAG pipelines, AI model training workflows, API integrations, and production scalability.
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
Requirements:
- 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)
- 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)