IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
The AI Core team at IFS Copperleaf is driving our AI-first strategy by building and scaling production-grade generative AI services that power enterprise SaaS solutions. As the Lead Generative AI Engineer, you will set technical direction, guide the development of domain-specific generative models, and lead engineering efforts across fine-tuning, evaluation, and deployment. You’ll work closely with engineering, product, and research stakeholders to deliver highly impactful AI capabilities.
This role is approximately 70 % hands-on model development and infrastructure leadership, and 30 % technical strategy and cross-functional collaboration.
What You’ll Do
Lead the design, fine-tuning, and optimization of large language models (LLMs), applying techniques such as supervised fine-tuning (SFT), parameter-efficient tuning (LoRA/Q-LoRA), and reinforcement learning from human feedback (RLHF).
Architect and oversee data pipelines for LLM training, including synthetic data generation, human-in-the-loop annotation, and domain-specific corpus curation.
Design and implement robust evaluation frameworks to ensure model quality, mitigate hallucinations, and support continuous improvement.
Lead the development of retrieval-augmented generation (RAG) systems using vector databases, graph stores, and structured data integrations to ground LLM responses in enterprise knowledge.
Guide infrastructure choices for model training and inference, including orchestration frameworks, model serving tools (vLLM, Triton), and scalable Azure-based deployment strategies.
Build and maintain a model catalog with documented capabilities, performance dashboards, and demos.
Stay on the cutting edge of open-source and commercial GenAI tooling, proposing and piloting next-gen features aligned with business priorities.
Collaborate cross-functionally with product managers, designers, and domain experts to ensure successful delivery of impactful, AI-powered solutions.
7+ years of experience in ML/AI engineering or applied research roles, with at least 3+ years focused on LLMs or generative AI.
Proven leadership in delivering LLM-based features to production—fine-tuning, prompt engineering, evaluation, and model deployment.
Strong expertise in Python, PyTorch, Hugging Face Transformers and PEFT libraries, LangChain, LlamaIndex, and related GenAI frameworks.
Hands-on experience with Azure OpenAI Services, Azure AI Search, Azure ML, and scalable model deployment on cloud infrastructure.
Familiarity with vector stores (FAISS, Qdrant, Pinecone), graph databases, and retrieval architecture.
Strong software engineering skills and comfort with MLOps best practices—CI/CD, containerization, observability, and versioning.
Excellent communication skills and a track record of technical leadership.
A pragmatic and outcome-driven approach to AI innovation in complex domains.
What We’re Offering
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
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
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