Senior AI Engineer

Diverse Lynx is seeking a Senior AI Engineer to lead the design, development, and deployment of agentic AI capabilities, with a focus on autonomous multi-agent systems. The role partners with business, data, and platform teams to deliver scalable, secure, production-grade AI platforms. This onsite contract position in Aguadilla, Puerto Rico offers an hourly rate of $50 to $55.

Responsibilities

• Architect and implement Agentic AI systems, incorporating planning, reasoning, task execution, memory, and feedback loops.
• Develop multi-agent architectures including task agents, reasoning agents, tool-calling agents, and orchestration agents.
• Apply retrieval-augmented generation, Knowledge Graph, and memory-based AI patterns for enterprise use cases.
• Integrate large language models with enterprise systems, APIs, tools, and workflows.
• Define end-to-end AI solution architecture from data ingestion to inference and observability.
• Build reusable AI services, agent frameworks, and orchestration layers.
• Ensure AI solutions are scalable, resilient, performant, and secure.
• Collaborate with cloud, data, and MLOps teams to productionize solutions.
• Define agent evaluation metrics, including accuracy, autonomy, cost, latency, and safety.
• Embed Responsible AI guardrails covering governance, explainability, auditability, and compliance.
• Work with product owners, domain SMEs, and architects to translate business problems into AI solutions.
• Mentor junior engineers and contribute to AI engineering standards and best practices.
• Support client discussions, solution walkthroughs, and technical decision making.

Requirements

• Strong proficiency in Python (mandatory).
• Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or equivalents.
• Experience with large language models including OpenAI, Azure OpenAI, Anthropic, and open-source models.
• Expertise in RAG, embeddings, vector databases, and prompt engineering.
• Experience building multi-agent orchestration, tool calling, and workflow automation.
• Experience with vector stores such as Pinecone, FAISS, Weaviate, Chroma, and similar technologies.
• Knowledge of knowledge graphs, ontologies, and semantic search.
• Cloud experience on Azure, AWS, or GCP.
• Familiarity with APIs, microservices, and event-driven architectures.
• Model monitoring, evaluation, and cost optimization.
• 8–12+ years of overall software or AI engineering experience.
• 3+ years hands-on experience in Generative AI and emerging Agentic AI systems.
• Experience delivering production-grade AI solutions in enterprise environments.
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.

Technologies

• Python
• LangGraph
• LangChain
• LlamaIndex
• AutoGen
• CrewAI
• OpenAI
• Azure OpenAI
• Anthropic
• Pinecone
• FAISS
• Weaviate
• Chroma
• Azure
• AWS
• GCP
• APIs
• Microservices
• Event driven architectures
• Knowledge Graph

Nice to Have

• Experience in regulated industries such as pharma, healthcare, or life sciences.
• Exposure to knowledge graphs, scientific/R&D workflows, or enterprise automation.