We are seeking an experienced Principal AI Engineer with 10+ years of software engineering experience, including 5+ years of hands-on experience in AI/ML and Generative AI. The role involves leading AI engineering strategy while remaining hands-on in building production-ready AI solutions using LLMs, RAG, Agentic AI, and scalable AI architectures. The ideal candidate will provide technical leadership, drive innovation, and mentor AI engineers to deliver secure, reliable, and high-performance AI products.

Key Responsibilities:

• Define AI technical architecture, engineering standards, development practices, and technology roadmaps.
• Design, develop, and deploy production-ready AI solutions using LLMs, Generative AI, RAG, AI Agents, MCP, and AI orchestration.
• Lead complex AI initiatives from proof of concept (POC) to production.
• Evaluate and select AI models, frameworks, vector databases, infrastructure, and cloud services.
• Build scalable and secure AI architectures for SaaS platforms and enterprise applications.
• Establish best practices for prompt engineering, context management, RAG pipelines, agent workflows, and AI evaluation.
• Drive the development of reusable AI frameworks, components, and services across projects.
• Improve AI application accuracy, reliability, latency, performance, and cost efficiency.
• Implement AI observability, monitoring, testing, and production quality controls.
• Ensure AI security, data privacy, access control, and protection against prompt injection.
• Conduct technical evaluations, architecture reviews, and code reviews for critical AI solutions.
• Mentor and guide AI Team Leads, Senior AI Engineers, and AI Engineers while providing overall technical direction.
• Collaborate with Product, Engineering, DevOps, Security, and Business teams to develop scalable AI solutions.

Preferred Experience:

• 10+ years of software engineering experience, including 5+ years of hands-on AI/ML and Generative AI experience.
• Strong expertise in Python, software engineering fundamentals, APIs, microservices, databases, Docker, CI/CD, and cloud platforms.
• Hands-on experience with LLMs, RAG, Agentic AI, AI Agents, multi-agent systems, NLP, and vector search.
• Experience with frameworks and platforms such as LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, Gemini, Hugging Face, or vLLM.
• Familiarity with vector databases and search technologies such as pgvector, Qdrant, Pinecone, Weaviate, Elasticsearch, or OpenSearch.
• Experience deploying production AI solutions on AWS, Azure, or GCP.
• Knowledge of LLM evaluation, AI safety, guardrails, responsible AI, and governance.
• Experience with open-source LLMs, fine-tuning, model deployment, or GPU infrastructure is an added advantage.
• Strong technical communication, problem-solving, decision-making, and mentoring skills.
• Ability to lead AI engineering strategy while remaining actively involved in hands-on development.

If you are a hands-on AI technical leader passionate about building innovative, secure, and scalable AI solutions while guiding engineering teams, we would love to connect.

Interested candidates are requested to share their updated resume at hr@cleffex.com