Senior FS AI Engineer

Description

We are seeking a highly skilled and innovative Senior Full- Stack AI / LLM Engineer to join our team and lead the development of cutting-edge AI solutions. This role focuses on building intelligent systems using large language models (LLMs), generative image models, and multimodal AI technologies. You will work across the stack-from model integration and orchestration to deployment and automation-helping us deliver scalable, production-grade AI applications.

Key Responsibilities

• Design, develop, and deploy Python-based microservices and APIs for AI-powered applications.
• Integrate and fine-tune LLMs from providers such as OpenAI, Anthropic, Meta, and Mistral.
• Build Retrieval-Augmented Generation (RAG) pipelines using frameworks like LangChain or LlamaIndex.
• Implement semantic search and vector database solutions using Pinecone, Weaviate, Chroma, Milvus, or Supabase.
• Develop and integrate TTS/STT systems using tools like OpenAI Whisper, Coqui TTS, and ElevenLabs.
• Work with generative image models including GPT-Image-1, Stable Diffusion, and ComfyUI.
• Automate workflows using orchestration platforms such as n8n, Make, or Zapier.
• Deploy AI services on cloud platforms (Google Cloud Platform, AWS, or Azure) with scalability and reliability in mind.
• Apply prompt engineering best practices to optimize model performance and output quality.
• Collaborate with cross-functional teams including product, design, and data science to deliver impactful AI features.

Requirements

Required Qualifications:

• Strong proficiency in Python and experience building APIs, microservices, and automation scripts.
• Hands-on experience with LLMs and generative AI tools from major providers.
• Deep understanding of RAG architectures and experience implementing them in production.
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Experience with vector databases and semantic search techniques.
• Knowledge of TTS/STT systems and their integration into conversational or multimodal applications.
• Experience with generative image models and related tooling.
• Proficiency in automation platforms like n8n, Make, or Zapier.
• Cloud deployment experience on Google Cloud Platform, AWS, or Azure.
• Strong grasp of prompt engineering principles and techniques.

Preferred Qualifications

• Experience with fine-tuning or customizing LLMs.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Background in machine learning, NLP, or computer vision.
• Contributions to open-source AI projects or communities.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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