Invoca · 7 hours ago
Sr. AI Software Engineer
United States
Full-time
Remote
Senior Level
$160K/yr - $252K/yr
5+ years expInvoca is an innovative company focused on AI-driven solutions and fostering a collaborative culture. The Sr. AI Software Engineer will architect and develop advanced AI systems and workflows, contributing to the creation of intelligent customer experiences.
Artificial Intelligence (AI)Digital MarketingSpeech Recognition
No H1B
Responsibilities
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. You will go beyond simple response quality to assess the entire agentic process, including the validity of reasoning steps, correctness of tool use, task completion rates, and overall robustness, contributing to the continuous improvement of our products
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, ensuring product quality and efficiency
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
Qualification
Required
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
Advanced proficiency in Python and hands-on experience building applications with leading AI/ML frameworks (e.g., LangChain, LlamaIndex, CrewAI, PyTorch)
Expert with data and ML libraries (e.g., Pandas, spaCy), applying these skills to product development
Demonstrated success deploying and maintaining applications powered by LLMs and other generative models in a production environment, highlighting your product development and software engineering capabilities
Deep, hands-on experience designing, building, and optimizing RAG pipelines, including expertise in vector databases (e.g., Qdrant, Pinecone, Weaviate), embedding strategies, and chunking techniques, as applied to agentic AI workflows
Demonstrable experience with modern evaluation techniques for multi-step AI agents
Demonstrable skill in designing, testing, and optimizing complex prompts and few-shot examples to maximize model performance for specific tasks
Experience in fine-tuning foundation models for specific downstream tasks, with a clear understanding of when to fine-tune versus when to use in-context learning or agentic approaches
Advanced proficiency with API-driven frameworks for accessing and serving self-hosted foundation models (e.g., AWS SageMaker/Bedrock, Databricks Model Serving, TGI, vLLM)
A proven ability to optimize AI systems for low latency and high throughput
Intermediate proficiency with MLOps tooling (e.g., MLFlow, Arize), and best practices for CI/CD, monitoring, and maintenance of complex AI systems
Bachelor's Degree in Computer Science, Engineering, Statistics, or a related field (or equivalent practical experience)
Preferred
An advanced degree (Master's or Ph.D.) is a plus, providing a solid foundation for software engineering and product development
Benefits
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 – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included.
Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
Stock Options – All employees are invited to share in Invoca’s success through stock options.
Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program.
Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
Company
Invoca
Invoca, the recognized leader in conversation intelligence AI for marketing, e-commerce, and contact center teams
201-500 employees
Funding
Current Stage
Late StageTotal Funding
$201.5MKey Investors
Silver Lake WatermanMorgan Stanley Alternative Investment PartnersAccel
2022-06-14Series F· $83M
2019-10-17Series E· $56M
2016-03-30Series D· $30M
Leadership Team
Gregg Johnson
CEO
Teresa Dietrich
Chief Technology Officer
Recent News
2025-11-14
Destination CRM
2025-11-07
Company data provided by crunchbase