Senior Data Scientist: Agentic AI & LLM Solutions

Stermedia; États-Unis; À distance; USD 57 000 - 86 000; Plein temps

Avantages offerts par ce poste

Flexible hours

Remote work

Self-development budget

MultiSport LuxMed

Team events

Résumé du poste

Stermedia is seeking a skilled AI engineer to design and deploy end-to-end agentic AI solutions for clients, including academic collaborations. You will manage projects from client contact through production deployment, delivering scalable, secure systems across diverse domains.

You will implement agent orchestration, memory management, prompt engineering, and observability with Python, LangChain, and containerized deployments using Docker and Kubernetes.

Qualifications

• Strong proficiency in Python programming.
• Hands-on experience with Generative AI / LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
• Experience building end-to-end agentic solutions.
• Practical experience in agent development and orchestration.
• Expertise in prompt engineering and LLM optimization.
• Experience with container-based deployments (Docker, Kubernetes).
• Experience implementing agent observability (monitoring, tracing, evaluation).
• Knowledge of REST APIs and backend integration patterns.
• Experience deploying AI applications in cloud environments (AWS / Azure / GCP).
• Understanding of RAG architectures, embeddings, vector databases.

Responsabilités

• Design and develop end-to-end agentic AI solutions using modern LLM frameworks.
• Build and deploy Generative AI applications using Python.
• Develop and manage AI agents, including tool integrations, memory management, and reasoning workflows.
• Implement agent orchestration for multi-agent systems and complex task automation.
• Apply advanced prompt engineering techniques to optimize model performance.
• Establish agent observability frameworks (monitoring, tracing, logging, evaluation, guardrails).
• Deploy AI solutions using container-based architectures (Docker, Kubernetes).
• Ensure scalability, reliability, and security of AI systems in production.
• Integrate AI agents with enterprise APIs, databases, and external systems.
• Continuously evaluate model performance and implement optimization strategies.

Connaissances

Python

LLM frameworks

Agent development

Docker

Kubernetes

REST APIs

Cloud deployments

Observability

LangChain

LLamaIndex

Outils

LangChain

LlamaIndex

Semantic Kernel

TensorFlow/PyTorch

Description du poste

Stermedia is seeking a skilled AI engineer to design and deploy end-to-end agentic AI solutions for clients, including academic collaborations. You will manage projects from client contact through production deployment, delivering scalable, secure systems across diverse domains.

You will implement agent orchestration, memory management, prompt engineering, and observability with Python, LangChain, and containerized deployments using Docker and Kubernetes.