Bill Rate $50 - $55
Location: Aguadilla, Puerto Rico
Duration: 6+ months
Role Descriptions: Role Summary
We are seeking a Senior AI Engineer with deep hands ‐ on experience in designing, developing, and deploying Agentic AI solutions. The role focuses on building autonomous, multi ‐ agent systems that reason, plan, act, and learn across complex enterprise workflows. You will work closely with business, data, and platform teams to deliver scalable, secure, and production ‐ grade Agentic AI platforms and use cases.
Key Responsibilities
Agentic AI & GenAI Development
- Design and build Agentic AI systems including planning, reasoning, task execution, memory, and feedback loops
- Develop multi ‐ agent architectures (task agents, reasoning agents, tool ‐ calling agents, orchestration agents)
- Implement RAG, Knowledge Graph, and Memory ‐ based AI patterns for enterprise use cases
- Integrate LLMs with enterprise systems, APIs, tools, and workflows
Architecture & Engineering
- Define end ‐ to ‐ end AI solution architecture from data ingestion to inference and observability
- Build reusable AI services, agent frameworks, and orchestration layers
- Ensure scalability, resilience, performance, and security of AI solutions
- Collaborate with cloud, data, and MLOps teams to productionize solutions
- Define agent evaluation metrics (accuracy, autonomy, cost, latency, safety)
- Embed Responsible AI guardrails including governance, explainability, auditability, and compliance
Stakeholder Collaboration & Leadership
- 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
Required Skills & Experience
Core Technical Skills
Strong proficiency in Python (mandatory)
- Hands ‐ on experience with Agentic AI frameworks (e.g., LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or equivalent)
- Experience with LLMs (OpenAI, Azure OpenAI, Anthropic, open ‐ source models)
- Expertise in RAG, embeddings, vector databases, and prompt engineering
- Experience building multi ‐ agent orchestration, tool calling, and workflow automation
Data & Platform Skills
- Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma, etc.)
- Knowledge of knowledge graphs, ontologies, and semantic search
- Cloud experience on Azure / AWS / GCP
- Familiarity with APIs, microservices, event ‐ driven architectures
- Model monitoring, evaluation, and cost optimization
- Experience & Qualifications
- 8-12+ years of overall software / AI engineering experience
- 3+ years hands ‐ on experience in GenAI 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
Nice to Have
- Experience in regulated industries (pharma, healthcare, life sciences)
- Exposure to knowledge graphs, scientific/R&D workflows, or enterprise automation
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.