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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.

About the Role

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.

What You'll Do Here:

• 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.

Our Commitment to You

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.

What You Bring to the Table

• 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., LangChain, LlamaIndex, 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 AI System Evaluation Expertise: Demonstrable experience with modern evaluation techniques for multi‑step AI agents and frameworks such as LangSmith, DeepEval, Ragas, TruLens, or custom solutions.
• Prompt Engineering & In‑Context Learning: Skill in designing, testing, and optimizing complex prompts and few‑shot examples to maximize model performance for specific tasks.
• Fine‑Tuning Proficiency: Experience fine‑tuning foundation models for specific downstream tasks, with a clear understanding of when to fine‑tune versus in‑context learning or agentic approaches.
• Scalable Model Serving: Advanced proficiency with API‑driven frameworks for accessing and serving self‑hosted foundation models (e.g., SageMaker/Bedrock, Databricks Model Serving, TGI, vLLM) to build resilient, scalable integrations.
• Performance and Cost Optimization: Proven ability to optimize AI systems for low latency and high throughput using techniques such as model quantization, caching strategies, and infrastructure choices.
• MLOps for AI Systems: Intermediate proficiency with MLOps tooling (e.g., MLFlow, Arize) and best practices for CI/CD, monitoring, and maintenance of complex AI systems.
• Educational Foundation: Bachelor's Degree in Computer Science, Engineering, Statistics, or a related field. An advanced degree (Master's or Ph.D.) is a plus.

This role is remote and open to candidates located in the United States and Canada only. We are unable to provide visa sponsorship for this position.

Salary, Benefits & Perks

• Flexible Time Off – We encourage a healthy work‑life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
• Paid Holidays – 16 U.S. paid holidays, including a winter break.
• Health Benefits – Medical, dental, and vision coverage with multiple plan options; fertility assistance is included.
• Retirement – 401(k) plan through Fidelity with a company match of up to 4%.
• Stock Options – All employees may share in Invoca's success through stock options.
• Mental Health Program – Well‑being support via the SpringHealth program.
• Paid Family Leave – Up to 6 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.
• Paid Medical Leave – Up to 12 weeks of 100% paid leave for childbirth and medical needs.
• InVacation – A bonus after 7 years of service for long‑term team members.
• Wellness Subsidy – Subsidy for gym memberships, fitness classes, and more.
• Position Base Range – Salary Range $160,000 – $252,000 plus bonus potential

DEI Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet

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