Senior AI Engineer

ESP Enterprises Inc. is seeking a Senior AI Engineer with expertise in Large Language Model design and deployment. The role focuses on architecting advanced AI solutions, mentoring junior engineers, and driving complex AI initiatives.

Responsibilities:

• Design, integrate, and optimize pre-trained LLMs within production environments using APIs, orchestration tools, and modern frameworks to deliver scalable, high-performance, low-latency applications
• Lead the design and execution of advanced AI initiatives, including conversational AI, natural language interfaces, semantic search, and multimodal processing workflows. Help define architecture standards and guide technical direction across projects
• Build and enhance RAG pipelines that combine LLMs with vector databases and enterprise data sources, ensuring outputs are accurate, context-aware, and well-grounded across large-scale document and information systems
• Evaluate and improve AI performance through experimentation with embeddings, tuning strategies, prompt design, and hyperparameter optimization, balancing quality, speed, and cost while identifying high-impact business applications
• Develop hybrid AI systems that combine OCR, computer vision, and LLM-driven reasoning to support complex multimodal use cases
• Establish high standards for code quality, testing, evaluation, deployment, and observability. Promote responsible AI practices, including security, fairness, and bias mitigation
• Support and mentor junior engineers, contribute to technical design discussions, and collaborate closely with product, engineering, and business teams to deliver practical, high-value AI solutions
• Help deploy and scale AI workloads in cloud environments, especially GCP tools such as Vertex AI and Cloud Run, with familiarity across AWS and Azure. Contribute to containerization and Kubernetes-based infrastructure strategies
• Work with leadership to align AI initiatives with company goals, inform product roadmaps, and identify emerging technologies that can create meaningful competitive advantage

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• 5+ years of professional experience in AI engineering, including hands-on experience deploying and optimizing LLM-powered applications in production
• Strong experience with frameworks and tools such as Hugging Face Transformers, LangChain, LlamaIndex, and APIs including OpenAI, Groq, or Ollama
• Advanced Python development skills, including pipeline design, package and dependency management, and integration with vector and retrieval tools such as FAISS, Pinecone, or Weaviate
• Demonstrated success building and scaling RAG systems, chatbots, and conversational AI platforms
• Experience with multimodal AI workflows, including OCR and computer vision integrations
• Proven ability to troubleshoot, optimize, and scale LLM-based systems in real-world environments
• Working knowledge of GCP and other major cloud platforms, along with containerization and orchestration best practices
• Strong communication skills with the ability to work effectively across both technical and non-technical teams
• Experience leading technical direction or mentoring engineers, formally or informally
• Contributions to open-source AI projects, research publications, or patents
• Familiarity with multi-agent architectures, evaluation frameworks, and responsible AI guardrails
• Experience in startup or high-growth environments, with the ability to balance rapid experimentation and long-term scalability