Recently postedTechnology

Senior AI Engineer / Technical Lead

Reliable Software ResourcesUnited States🇺🇸United States

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationUnited States

DockerFastAPISQLGitAWSDatabricksLLMPythonGenerative AIAzureKubernetesCI/CDLangChainRAG

Job description

Job Title: Senior AI Engineer / Technical Lead

Experience: 7–10 Years

Hire-Type: Contract

Only on W2

Location: Remote// Northville, MI Preferred

Employment Type: Full-Time / Contract

We are looking for a Senior AI Engineer / Technical Lead with strong hands-on experience designing, developing, and deploying enterprise-grade AI solutions. The ideal candidate should have a solid foundation in software development or data engineering, combined with recent experience in Generative AI, LLMs, and modern AI architectures. This role requires someone who can own end-to-end solution delivery, lead technical teams, and work directly with clients to translate business requirements into scalable AI solutions.

Key Responsibilities & Requirements

7–10+ years of overall IT experience, with at least 1–2 years of strong hands-on experience in Generative AI, LLMs, and AI application development. Prior background in full-stack development or data engineering is highly preferred.
Strong experience designing and implementing LLM-based applications, including RAG architectures, prompt engineering, embeddings, vector databases, semantic search, and AI agents.
Hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document Intelligence, and related AI services. Experience with AWS Bedrock or Google Vertex AI is a plus.
Experience building AI solutions for structured and unstructured data extraction, document processing, classification, image analysis, and multimodal AI use cases.
Strong programming skills in Python, including experience with APIs, FastAPI, LangChain, LlamaIndex, or similar AI development frameworks.
Ability to design end-to-end AI solution architectures, from initial requirements and PoCs through development, integration, cloud deployment, monitoring, and production support.
Strong understanding of AI performance optimization, including response accuracy, hallucination reduction, retrieval quality, latency, token usage, cost optimization, evaluation frameworks, and LLM observability.
Solid understanding of software engineering fundamentals, including application architecture, design patterns, Git, CI/CD, testing, security, and scalable application development. Must be capable of conducting code reviews, reviewing pull requests, and critically evaluating AI-generated code rather than blindly accepting it.
Experience leading and mentoring development teams, providing technical direction, reviewing deliverables, resolving complex technical challenges, and ensuring engineering best practices.
Excellent communication and client-facing skills, with the ability to lead technical discussions, present solution architectures, explain AI capabilities to business stakeholders, and take ownership of technical delivery.

Nice to Have

Experience with agentic AI, multi-agent orchestration, MCP, and tool-calling architectures.
Experience with Azure cloud infrastructure, Docker, Kubernetes, and production AI deployments.
Experience with SQL, data pipelines, Databricks, Microsoft Fabric, or modern data platforms.
Experience with AI governance, responsible AI, security, and enterprise-scale LLMOps.

Ideal Candidate: A strong software engineer or data engineer who has transitioned into AI engineering and can independently architect, build, deploy, and optimize AI applications while leading a team. We are looking for someone with genuine engineering depth, not someone who relies solely on AI-generated code or low-code AI tools.