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Lead Applied AI Engineer
Omni Inclusive
3 hours ago
Full-time
On-site
AI Engineering Lead
Key Must-Have Skills Candidates should possess strong, recent experience in: Generative AI Agentic AI RAG (Retrieval-Augmented Generation) Architecture AI Agents / Multi-Agent Systems Python FastAPI Vector Databases LLM Integration AI Platform Engineering Production AI Deployment AI Evaluation Frameworks Prompt Engineering Observability & Monitoring Enterprise Architecture Strongly Preferred Skills React Azure OpenAI or other Cloud AI Platforms Healthcare Domain Experience Responsible AI / AI Governance Distributed Systems Engineering Experience Requirements 7+ years of software engineering experience with a strong focus on AI/ML. Proven experience building and operating distributed systems at scale. Extensive hands-on experience designing, developing, and deploying production-grade Generative AI solutions. Experience with advanced RAG architectures, AI agents, multi-agent systems, vector databases, and enterprise AI platforms. Demonstrated technical leadership and ability to mentor engineering teams. Experience delivering large-scale AI initiatives from concept through production deployment.
Key Must-Have Skills Candidates should possess strong, recent experience in: Generative AI Agentic AI RAG (Retrieval-Augmented Generation) Architecture AI Agents / Multi-Agent Systems Python FastAPI Vector Databases LLM Integration AI Platform Engineering Production AI Deployment AI Evaluation Frameworks Prompt Engineering Observability & Monitoring Enterprise Architecture Strongly Preferred Skills React Azure OpenAI or other Cloud AI Platforms Healthcare Domain Experience Responsible AI / AI Governance Distributed Systems Engineering Experience Requirements 7+ years of software engineering experience with a strong focus on AI/ML. Proven experience building and operating distributed systems at scale. Extensive hands-on experience designing, developing, and deploying production-grade Generative AI solutions. Experience with advanced RAG architectures, AI agents, multi-agent systems, vector databases, and enterprise AI platforms. Demonstrated technical leadership and ability to mentor engineering teams. Experience delivering large-scale AI initiatives from concept through production deployment.