Developer_Low_FP_Delivery_United States_103008 at Orion Innovation

ob Description: AI Engineer (Generative AI Focus)

About the Role

We are seeking a highly skilled AI Engineer with deep expertise in machine learning, Generative AI (GenAI), and large language models (LLMs). This role will be central to building and deploying next-generation AI applications that drive innovation and transform business capabilities.

The ideal candidate has strong hands-on experience with GenAI frameworks, LLM implementation, and AI solution architecture, and can deliver scalable, production-ready AI systems.

Key Responsibilities

• Design, develop, and deploy AI/ML models and Generative AI solutions (LLMs, multi-modal models, embeddings, RAG pipelines, prompt engineering, and fine-tuning).
• Build AI-powered applications that integrate seamlessly into business workflows (e.g., copilots, intelligent assistants, automation systems).
• Evaluate, prototype, and productionize state-of-the-art AI frameworks and foundation models (open-source and proprietary).
• Optimize model performance, scalability, and latency in cloud and enterprise environments (Azure, AWS, GCP).
• Collaborate with cross-functional stakeholders to translate business problems into AI-driven solutions.
• Implement MLOps practices for reliable model training, deployment, monitoring, and lifecycle management.
• Ensure responsible AI practices, including fairness, transparency, security, and compliance.

Qualifications

• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD a plus).
• 5+ years of experience in AI/ML engineering, with a strong track record of building production-grade AI applications.
• Proficiency in Python and familiarity with modern AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.).
• Deep knowledge of Generative AI techniques: prompt engineering, fine-tuning, embeddings, vector databases, and retrieval-augmented generation.
• Hands-on experience with cloud-based AI services and architectures (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
• Strong understanding of MLOps, APIs, microservices, and containerization (Docker, Kubernetes).
• Excellent problem-solving, collaboration, and communication skills.

Preferred Skills

• Experience developing enterprise-scale GenAI applications (e.g., conversational AI, copilots, knowledge automation).
• Familiarity with AI ethics, governance, and compliance frameworks.
• Contributions to AI/ML open-source projects or publications in GenAI research.
• Ability to mentor teams and advocate for AI adoption across the organization.