Job description

As a Senior AI/ML Engineer, you will design, develop, and deploy enterprise-scale AI systems that power intelligent agents, copilots, and autonomous workflows. You will combine strong software engineering expertise with advanced AI/ML knowledge to build scalable, production-grade solutions leveraging LLMs, agent frameworks, retrieval systems, and modern cloud platforms. In this role, you will work closely with engineering, product, and domain experts to deliver high-quality AI solutions that drive measurable business value. You will contribute to the evolution of our AI platform by building reliable, secure, observable, and scalable systems while helping establish engineering best practices and sharing technical expertise with the broader team. What You'll Do AI Platform & Systems Development • 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. Advanced Applied AI Engineering • 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. Engineering Excellence & Delivery • 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. Collaboration & Technical Contribution • 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. Required • 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 technologies such as 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. Preferred • Experience building agentic AI systems, copilots, multi-agent workflows, or autonomous enterprise applications. • Experience with AI evaluation frameworks, LLM observability, AI governance, and responsible AI practices. • Experience with Azure, AWS, or GCP AI ecosystems. • Experience integrating enterprise platforms such as ERP, CRM, ITSM, HR, Finance, or Developer ecosystems. • Experience mentoring junior engineers or supporting technical onboarding. What Success Looks Like in 3-6 Months Technical Impact • You are delivering high-quality AI services and features that are adopted by internal teams and customers. • You consistently contribute well-designed, maintainable, and scalable solutions to the AI platform. Delivery Excellence • You have successfully delivered key AI capabilities from concept through production. • Your work improves system performance, reliability, scalability, and operational efficiency. AI Innovation • You have deployed advanced AI capabilities that enhance user experiences and business outcomes. • You have contributed evaluation, monitoring, and optimization mechanisms that improve solution quality and reliability. Team Contribution • You actively collaborate across engineering and product teams. • You share technical knowledge, provide guidance to teammates when needed, and contribute to a strong engineering culture. • You are viewed as a trusted technical contributor who consistently delivers impactful results. At IFS you will work in a growing, global enterprise software company where informal hierarchies promote simplicity and trust with responsibility. We strive to deepen our expertise by taking on challenging and varying work assignments in a collaborative environment together with committed colleagues. With professionalism and a strong customer focus in everything we do, from R&D to Sales and Consultancy, we are proud to serve world-class customers all over the globe with our leading products. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. What We’re Offering • Salary Range: $170,000 to $185,000 plus bonus potential • Flexible paid time off, including sick and holiday • Medical, dental, & vision insurance • 401K with Company contribution • Flexible spending accounts • Life insurance and disability benefits • Tuition assistance • Community involvement and volunteering events M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

Requirements

Must-haves

AI Platform & Systems Development
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.
Advanced Applied AI Engineering
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.
Engineering Excellence & Delivery

Nice-to-haves

Experience building agentic AI systems, copilots, multi-agent workflows, or autonomous enterprise applications.
Experience with AI evaluation frameworks, LLM observability, AI governance, and responsible AI practices.
Experience with Azure, AWS, or GCP AI ecosystems.
Experience integrating enterprise platforms such as ERP, CRM, ITSM, HR, Finance, or Developer ecosystems.
Experience mentoring junior engineers or supporting technical onboarding.
What Success Looks Like in 3-6 Months
Technical Impact
You are delivering high-quality AI services and features that are adopted by internal teams and customers.
You consistently contribute well-designed, maintainable, and scalable solutions to the AI platform.
Delivery Excellence
You have successfully delivered key AI capabilities from concept through production.
Your work improves system performance, reliability, scalability, and operational efficiency.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlci/cdpythonazurellmawsgcp

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off