Sr. AI Software Engineer

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Join Invoca:
Driving Innovation in AI

At Invoca, we don't just talk about commitment to our customers, collaboration, and continuous improvement—it's how we live and work. We foster an inclusive, egoless culture that fuels innovation and creates value for both our customers and our people. Joining us means enjoying competitive pay, excellent perks, and working on an industry-leading product. If you're looking for a tech job that stands out, you've found it.

Come help us build something truly special.

Are you passionate about harnessing the power of generative AI and foundation models to build truly intelligent products? At Invoca, we're a team of innovators committed to building exceptional teams and groundbreaking AI solutions. This is a unique opportunity to architect the next generation of AI-powered customer experiences, making a direct and measurable impact on our products and the success of our clients.

• Architect and Deploy Applied AI Systems: Design, build, and deploy scalable, production‑grade applications using foundation models and other advanced AI techniques, directly influencing product performance and efficiency through strong software engineering practices.
• Engineer Advanced Agentic AI Workflows & Frameworks: Go beyond basic implementation. Engineer robust Retrieval‑Augmented Generation (RAG) pipelines and multi‑step agentic workflows that can reason, use tools, and solve complex product problems.
• Contribute to Agentic AI System Evaluation: Establish and manage rigorous evaluation frameworks for complex AI agents, assessing the entire agentic process, including the validity of reasoning steps, correctness of tool use, task completion rates, and overall robustness.
• Excel in Prompt Engineering and Optimization: Craft, test, and manage sophisticated prompt chains and templates to ensure optimal performance, reliability, and cost‑effectiveness from our AI models, driving product innovation.
• Build for Scale and Reliability: Develop resilient serving architectures that seamlessly integrate Large Language Models (LLMs) with enterprise systems, ensuring high availability and performance through expert software engineering.
• Champion MLOps for Applied AI: Develop and maintain sophisticated MLOps and CI/CD pipelines tailored for the unique challenges of generative AI, including prompt versioning, RAG pipeline management, and continuous evaluation of agent behavior.
• Translate Business Needs into AI‑Powered Solutions: Work as a strategic partner to product and engineering teams, deeply understanding customer challenges and translating them into innovative, viable, and impactful AI features, driving product development from conception to deployment.

As an Applied AI Engineer, you will be empowered by mentorship from leading experts across our data science, engineering, and architecture teams. Our dedicated data platform team leverages proprietary, patented technologies and best‑in‑class vendor tools to create an exceptionally scalable AI application platform, enabling you to accelerate transformative AI‑powered experiences through our robust API platform.

• Proven Experience: 5+ years of professional experience in Applied AI Engineering, ML Engineering, or a closely related role with a strong focus on building and deploying AI‑powered products and applications, demonstrating a strong foundation in software engineering.
• Applied AI & Python Expertise: Advanced proficiency in Python and hands‑on experience building applications with leading AI/ML frameworks (e.g., Lang Chain, Llama Index, CrewAI, PyTorch) and data/ML libraries (e.g., Pandas, spaCy).
• Production Generative AI Champion: Demonstrated success deploying and maintaining applications powered by LLMs and other generative models in a production environment.
• Retrieval‑Augmented Generation (RAG) Expertise: Deep, hands‑on experience designing, building, and optimizing RAG pipelines, including expertise with vector databases (e.g., Qdrant, Pinecone, Weaviate), embedding strategies, and chunking techniques.
• Agentic…