Applied AI Engineer
New
P
Pager HealthHealth Tech
US RemoteFull-TimeMiddle
Salary150,000 - 160,000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonCloud ComputingMicroservicesLLMMLOpsLangChain
Requirements
- 3+ years of software engineering experience with strong proficiency in Python
- Hands-on experience building applications powered by large language models (Claude, GPT, Gemini)
- Familiarity with agent frameworks and orchestration patterns (LangChain, LangGraph, CrewAI, Vertex AI Agent Builder, or custom orchestration)
- Experience implementing function calling, tool use, and multi-step agent workflows
- Solid understanding of RAG architectures, embedding models, and vector databases (Pinecone, Weaviate, pgvector, Vertex AI Vector Search)
- Experience with API design, microservices, and deploying services in cloud environments
- Strong debugging and problem-solving instincts
- Strong communication skills
- Experience with evaluation frameworks for LLM-based systems (custom evals, RAGAS, LangSmith, Braintrust)
- Familiarity with MLOps tooling and CI/CD for ML systems
- Background in building multi-agent systems with routing, delegation, and coordination patterns
Responsibilities
- Build agentic applications and workflows using the LLM frameworks, models, and guardrails provided by the Data Science team
- Design and implement tool integrations, function-calling patterns, and orchestration logic that allow agents to take actions across internal systems and external APIs
- Translate agent specifications and prompt strategies into robust, deployable services
- Implement RAG pipelines, including vector store integration, chunking strategies, and retrieval optimization
- Own the full lifecycle of agent systems from prototype through production, including testing, monitoring, logging, and iteration
- Build evaluation and observability infrastructure so the team can measure agent quality, latency, cost, and safety in production
- Collaborate with Data Science on prompt engineering, model behavior tuning, and guardrail enforcement
- Work with platform and infrastructure teams to deploy, scale, and maintain agent services in cloud environments (GCP/Vertex AI, AWS Bedrock, Azure OpenAI)
- Contribute to internal tooling, SDKs, and shared libraries that accelerate agent development across the organization
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