4 дня назад
Agentic AI Engineer Co-Op
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Agentic AI Engineer Co-Op (LLM/RAG): Designing, building, and deploying autonomous AI agents that reason, plan, use tools, and execute multi-step workflows with an accent on agent orchestration, retrieval-augmented generation, tool integration, and production deployment. Focus on evaluating agent accuracy and failure modes, adapting foundation models, and implementing cloud-native systems with CI/CD, monitoring, and runtime safeguards.
Location: Remote within the USA
Company
is a food company with a portfolio of established consumer brands including , Goldfish, Pepperidge Farm, Prego, Rao's Homemade, and V8.
What you will do
- Design and develop autonomous AI agents capable of planning, reasoning, and executing multi-step tasks using LLMs and multimodal models.
- Implement agent orchestration with frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or custom solutions.
- Build and optimize RAG pipelines covering document ingestion, chunking, embeddings, vector stores, and retrieval ranking.
- Integrate APIs, databases, tools, and agent memory while enabling adaptation based on outcomes.
- Create evaluation and observability frameworks for accuracy, grounding, latency, cost, and agent failure modes.
- Adapt foundation models and deploy GenAI systems in cloud-native environments with CI/CD, versioning, and runtime safeguards.
Requirements
- At least 2 years of experience in AI/ML system design, deployment, or autonomous agent development.
- Proficiency in Python for AI/ML solution development; experience with Java or C# may also be relevant.
- Hands-on experience with agent orchestration frameworks, multi-agent communication protocols, RAG architectures, evaluation methods, and LLM integration.
- Experience with cloud platforms such as Azure or AWS and CI/CD pipelines.
- Understanding of responsible AI, security, and compliance in regulated domains such as retail.
Culture & Benefits
- Full-time co-op employment with a remote work arrangement within the USA.
- Opportunities to collaborate with data scientists, ML engineers, product teams, and governance and compliance stakeholders.
- Support for career growth, innovation, and professional development.
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