Senior AI Engineer (GenAI & Agentic Systems)

1 hour, 13 minutes ago
Full-time
Senior
Software Development
NEORIS

NEORIS

NEORIS is a leading global IT consulting company specializing in nearshore outsourcing services and SAP solutions, empowering companies to innovate through digital transformation.

Internet Software & Services
5K-10K
Founded 2000

Description

  • Lead the design and implementation of advanced agentic AI architectures, including multi-agent orchestration, tool usage, planning, memory management, and self-reflection patterns.
  • Define and standardize RAG architectures, including retrieval strategies, context engineering, hybrid search, re-ranking, and optimization of latency, accuracy, and cost.
  • Establish prompt engineering standards and governance across GenAI use cases.
  • Design and implement evaluation frameworks to measure model performance, including hallucination rates, precision, recall, and response quality.
  • Define observability strategies for multi-agent systems, including tracing, debugging, and performance monitoring.
  • Architect and oversee scalable, asynchronous backend systems and APIs using FastAPI or similar frameworks.
  • Define best practices for secure system integration so AI agents can interact with enterprise systems, APIs, and external tools.
  • Lead the design and deployment of cloud-native AI solutions on GCP, including scalability, resilience, and cost optimization.
  • Define containerization and orchestration strategies using Docker and Kubernetes (GKE), and improve CI/CD pipelines, testing, and release processes.
  • Provide technical leadership, mentorship, architecture guidance, and code review support across projects while aligning solutions with security, privacy, and governance standards.

Requirements

  • 5+ years of software engineering experience, including 2–3+ years building and deploying production-grade AI/LLM systems.
  • Expert-level proficiency in Python, including asynchronous programming with AsyncIO.
  • Strong experience designing and implementing RAG pipelines, vector search, and GenAI systems.
  • Proven experience architecting multi-agent systems or complex AI workflows.
  • Deep experience with FastAPI or similar frameworks for scalable backend services.
  • Strong knowledge of PostgreSQL and vector databases such as pgvector or equivalent.
  • Hands-on experience with GCP and cloud-native application deployment and management.
  • Strong experience with Docker, Kubernetes (GKE), and CI/CD pipelines.
  • Solid understanding of distributed systems, API design, and software architecture principles.
  • Experience implementing evaluation, monitoring, and observability for AI systems.
  • Strong communication skills and ability to work in cross-functional teams.
  • English proficiency at B2+/C1 level preferred.
  • Hands-on experience with Google ADK or similar agent orchestration frameworks preferred.
  • Experience with real-time systems such as WebSockets or SSE preferred.
  • Familiarity with GenAI frameworks such as LangChain or LlamaIndex preferred.
  • Experience implementing security, guardrails, and PII protection in AI systems preferred.
  • Background in scaling AI systems in enterprise environments preferred.
  • Experience contributing to architecture design reviews and technical roadmaps preferred.

Benefits

  • Competitive salary.
  • Attractive benefits plan.
  • Law and superior benefits.
  • Professional growth opportunities.
  • Development opportunities.
  • Dynamic work environment.

Interested in this position?

Apply directly on the company website

Apply Now

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