4 hours ago
Palo Alto, CA, USASenior
Base Salary
$170k - $185k/yr
Responsibilities
- Design and implement scalable AI services and platform capabilities supporting intelligent agents and enterprise workflows.
- Build reusable SDKs, APIs, orchestration layers, and shared services for AI application development.
- Develop production-grade solutions using LLMs, embeddings, RAG architectures, vector databases, memory systems, and agent orchestration frameworks.
- Create prompt engineering approaches, evaluation strategies, guardrails, and AI quality metrics.
- Optimize deployed AI systems for latency, accuracy, cost, scalability, reliability, and operational readiness.
- Deliver complex AI initiatives from design through production deployment and troubleshoot distributed services and integrations.
- Apply testing, CI/CD, infrastructure automation, monitoring, governance, compliance, and security practices.
- Collaborate with engineering, product, architecture, and domain teams and provide technical guidance to colleagues.
- Contribute to technical documentation, design reviews, development tooling, and continuous improvement.
Requirements
- At least 5 years of software engineering experience, including at least 2 years building AI/ML-powered applications in production.
- Strong proficiency in Python and experience designing backend systems and APIs.
- Experience with LLMs, agent frameworks, RAG architectures, vector databases, embeddings, and AI orchestration platforms.
- Hands-on experience with platforms such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent technologies.
- Strong understanding of software architecture, cloud-native development, microservices, and scalable system design.
- Experience building and operating production applications in cloud environments.
- Strong problem-solving, debugging, and performance optimization skills.
- Effective communication and collaboration skills.
- Preferred experience with agentic AI systems, copilots, multi-agent workflows, autonomous enterprise applications, AI evaluation, LLM observability, AI governance, and responsible AI.
- Preferred experience with Azure, AWS, or GCP AI ecosystems and enterprise platforms such as ERP, CRM, ITSM, HR, Finance, or developer ecosystems.
- Experience mentoring junior engineers or supporting technical onboarding is preferred.
Benefits
- Flexible paid time off, including sick and holiday leave.
- Medical, dental, and vision insurance.
- 401(k) with company contribution.
- Flexible spending accounts.
- Life insurance and disability benefits.
- Tuition assistance.
- Community involvement and volunteering events.
Tech Stack
Categories
About IFS
IFS builds IFS Cloud, an enterprise suite covering ERP, EAM, FSM, SCM, and project/service management for manufacturers and asset‑intensive organizations. Its business model centers on software subscriptions and services for cloud and hybrid deployments, plus industry-specific modules and consulting. Founded in 1983 and headquartered in Linköping, Sweden, the company is privately held under EQT ownership and operates globally across industrial and service-focused markets.