Lead AI Engineer
New
J
JobgetherTechnology
Candidates must currently reside in an eligible U.S. state for this remote positionFull-TimeLead
Salary$121,000–$185,000
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSPythonAzureMicroservicesLLMGenerative AI
Requirements
- Bachelor’s degree in Computer Science or equivalent professional experience.
- 8+ years of experience in cloud software engineering and/or AI engineering, including 8+ years of programming experience with Python.
- Hands-on experience building AI-enabled applications, generative AI solutions, AI agents, or production AI workflows.
- Strong experience with AWS and/or Azure and AI-native cloud services such as AWS Bedrock or Azure AI Foundry.
- Deep understanding of generative AI concepts including LLM/SLM selection, RAG, prompt engineering, agentic workflows, and vector search.
- Experience with agent frameworks and orchestration technologies such as LangGraph or Semantic Kernel.
- Experience working with major LLM ecosystems including OpenAI, Anthropic, Llama, or Mistral.
- Hands-on experience with vector databases and retrieval platforms such as Pinecone or Azure AI Search.
- Solid understanding of modern software architecture, including microservices, APIs, event-driven systems, and cloud-native development.
- Understanding of AI governance, responsible AI, data protection, privacy, and security.
Responsibilities
- Design, build, test, deploy, and maintain production-grade AI-enabled applications, generative AI solutions, AI agents, and enterprise workflows.
- Establish foundational AI Center of Excellence standards, reusable architectural patterns, engineering guardrails, and implementation practices.
- Define and operationalize AI Development Lifecycle practices covering experimentation, evaluation, governance, deployment, monitoring, and continuous improvement.
- Build reusable AI platforms, services, APIs, orchestration frameworks, and service layers that can scale across enterprise use cases.
- Partner with business and technical stakeholders to translate problems and opportunities into scalable AI solutions, taking initiatives from concept through production.
- Mentor engineers in AI engineering, AI-native development, experimentation, evaluation, and modern development practices.
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