Senior AI/ML Engineer - Enterprise Platform

IFS; Palo Alto (CA); On-site; USD 170,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, & vision insurance

401K with company contribution

Flexible paid time off

Tuition assistance

Community involvement

Job summary

IFS, a leading enterprise software company, is seeking a Senior AI/ML Engineer to design, develop, and deploy enterprise-scale AI systems powering intelligent agents and autonomous workflows. You will blend software engineering with AI/ML to build scalable, production-grade solutions on cloud platforms.

You will collaborate with engineering, product, and domain experts to deliver measurable business value, ensuring reliability, security, and observability across the AI platform.

Qualifications

• 5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production environments.
• 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 OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms.
• Solid 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.

Responsibilities

• Design and implement scalable AI services and platform capabilities that support intelligent agents and enterprise workflows.
• Build reusable SDKs, APIs, orchestration layers, and shared services that accelerate AI application development.
• Contribute to architectural discussions and technical design reviews.
• Develop solutions that meet requirements for reliability, observability, security, and scalability.
• Design and implement production-grade solutions using LLMs, embeddings, RAG architectures, vector databases, memory systems, and agent orchestration frameworks.
• Evaluate and integrate emerging AI technologies, foundation models, and agent frameworks where appropriate.
• Develop prompt engineering approaches, evaluation strategies, and guardrails to improve quality, safety, and reliability.
• Implement evaluation frameworks and AI quality metrics to measure system performance and business outcomes.
• Optimize latency, accuracy, cost, and scalability of deployed AI systems.
• Deliver complex AI initiatives from design through production deployment.
• Apply best practices for testing, CI/CD, infrastructure automation, monitoring, and operational readiness.
• Troubleshoot performance issues and conduct root-cause analysis across distributed AI services and integrations.
• Ensure solutions align with enterprise requirements for governance, compliance, and security.
• Collaborate with engineers, product managers, architects, and domain experts to translate business requirements into scalable technical solutions.
• Provide technical guidance and share knowledge with team members.
• Contribute to technical documentation, design reviews, and engineering best practices.
• Support continuous improvement of development processes, tooling, and platform capabilities.

Skills

Python

APIs

LLMs

Agent frameworks

RAG architectures

Vector databases

Embeddings

AI orchestration platforms

Cloud-native

Microservices

Production applications

Troubleshooting

Communication

Tools

OpenAI

Azure AI

Anthropic

Hugging Face

LangChain

LangGraph

Semantic Kernel

Pinecone

Weaviate

Job description

IFS, a leading enterprise software company, is seeking a Senior AI/ML Engineer to design, develop, and deploy enterprise-scale AI systems powering intelligent agents and autonomous workflows. You will blend software engineering with AI/ML to build scalable, production-grade solutions on cloud platforms.

You will collaborate with engineering, product, and domain experts to deliver measurable business value, ensuring reliability, security, and observability across the AI platform.