Senior Artificial Intelligence Engineer

Key Responsibilities:

* Lead the design and implementation of multi-agent systems using LangGraph, CrewAI, and Google AI SDKs (Vertex AI Agent Builder).

* Architect resilient production-grade LLM applications, advanced RAG pipelines, and autonomous, tool-augmented reasoning workflows.

* Build, document, and standardize reusable AI microservices, framework architectures, and secure enterprise-grade APIs.

* Deploy, optimize, and manage agent-based systems across multi-cloud environments (GCP, Azure, AWS) using Docker and Kubernetes (GKE/AKS/EKS).

* Implement end-to-end system monitoring, logging, and centralized observability utilizing platforms like LangSmith, Vertex AI Inspector, or Azure Monitor.

* Act as a technical stream lead, conducting robust code reviews, leading architectural discussions, and mentoring junior AI engineering staff.

Required Skills & Qualifications:

* 5-8 years of professional software engineering experience, featuring a minimum of 3 years dedicated strictly to shipping production LLM/AI systems.

* Proven track record building autonomous planning/reflection agents, multi-step reasoning chains, and cross-session memory architectures.

* Advanced, expert-level proficiency in Python alongside backend development frameworks (FastAPI, Go, or Node.js).

* Strong hands-on cloud native experience with Vertex AI, Azure AI Studio, and production container deployment toolsets.

* Solid infrastructure/data engineering foundational knowledge including Vector Databases (Pinecone, Weaviate, Vertex AI Vector Search) and infrastructure pipelines (Terraform, BigQuery, Pub/Sub).

What We Offer:

* Competitive base salary paired with performance incentives and a comprehensive benefits structure.

* High-impact exposure to complex enterprise-level projects with global clients across NA, EMEA, and LATAM regions.

* Continuous professional development and structural upskilling support within a fast-growing, globally distributed AI practice.