AI Engineer (US)

1 month ago

Philadelphia, PA, USA +2 moreSenior

Responsibilities

Lead the end-to-end architecture and delivery of agentic AI systems, including agents, orchestration, tool use, and multi-step reasoning workflows.
Design and implement episodic, semantic, and working-memory architectures for reliable AI context management.
Integrate GraphRAG and knowledge graph retrieval into agentic pipelines.
Build vector retrieval, graph traversal, hybrid search, and retrieval-quality evaluation systems.
Translate client requirements into technical designs and present technical approaches and trade-offs to technical and non-technical stakeholders.
Define reusable standards and development patterns for agentic AI systems.
Set up observability, evaluation, and monitoring pipelines for production AI systems.
Collaborate with data engineers, project leads, client stakeholders, engineers, and data scientists.

5–8 years of software or ML engineering experience, including at least 2–3 years building LLM-based or agentic AI systems in production.
Deep hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.
Experience with LLM APIs such as OpenAI and Anthropic.
Strong understanding of ReAct, planning loops, tool use, multi-agent coordination, and memory architectures.
Practical experience with GraphRAG or knowledge graph retrieval, including technologies such as Neo4j or Microsoft GraphRAG.
Experience with vector databases such as Pinecone, Weaviate, or Qdrant.
Proficiency in Python and strong software engineering fundamentals, including APIs, testing, CI/CD, and containerisation with Docker and Kubernetes.
Experience in consulting or client-facing environments and the ability to present technical approaches and adapt to ambiguous requirements.
Strong written and verbal communication skills across distributed, cross-functional teams.

Work on real-world AI and advanced analytics solutions with measurable business impact.
Collaborate with a global team of engineers and data scientists.
Gain exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
Join a collaborative culture focused on measurable outcomes.
Access rapid learning opportunities and diverse challenges.
Work in a flat organisational hierarchy with high visibility and accessibility to leaders.

51-200 employees