DialogTech
Overview
About Invoca Commitment to our customers, collaboration, and continuous improvement in a positive environment are more than words written on a wall at Invoca, it’s our way of life. We take pride in an inclusive and egoless culture that helps us drive innovation and build value for both our customers and our people. And of course, there’s the competitive pay, great perks, and getting to work on an industry-leading product. If this sounds unlike most tech jobs you’ve had, you’re right. Come join us. We’re building something special. You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between. We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other. Learn more about the Invoca development team on our blog and check out our open source projects. Role Summary
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. Why You’ll Thrive Here
As a key member of our Data Platform team, you won't just build models; you'll architect the future of how businesses understand and interact with their customers. You will: Architect and Deploy Applied AI Systems:
Design, build, and deploy scalable, production-grade applications using foundation models and other advanced AI techniques to directly influence product performance and efficiency. Engineer Advanced RAG and Agentic Systems:
Build robust Retrieval-Augmented Generation (RAG) pipelines and multi-step agentic workflows that can reason, use tools, and solve complex problems. Contribute to Agentic AI System Evaluation:
Establish and manage rigorous evaluation frameworks for complex AI agents, including reasoning steps, tool use, task completion rates, and robustness. Excel in Prompt Engineering and Optimization:
Craft, test, and manage sophisticated prompt chains and templates for optimal performance, reliability, and cost-effectiveness. Build for Scale and Reliability:
Develop resilient serving architectures that integrate LLMs with enterprise systems, ensuring high availability and performance. Champion MLOps for Applied AI:
Develop and maintain MLOps and CI/CD pipelines for generative AI, including prompt versioning and evaluation of agent behavior. Translate Business Needs into AI-Powered Solutions:
Partner with product and engineering teams to translate customer challenges into innovative AI features. What You Bring to the Table
We're looking for a creative and driven Applied AI Engineer who is excited to tackle complex problems and build impactful solutions. You likely have: Proven Experience:
5+ years in Applied AI Engineering, ML Engineering, or a closely related role with a focus on AI-powered applications. Applied AI & Python Expertise:
Proficiency in Python and experience with AI/ML frameworks (e.g., LangChain, LlamaIndex, CrewAI, PyTorch); strong data/ML libraries (e.g., Pandas, spaCy). Production Generative AI Champion:
Experience deploying and maintaining production AI applications powered by LLMs and generative models. RAG Expertise:
Design, build, and optimize RAG pipelines with vector databases (e.g., Qdrant, Pinecone, Weaviate) and embedding/chunking techniques. Agentic AI Evaluation:
Experience with evaluation techniques for multi-step AI agents; familiarity with LangSmith, DeepEval, Ragas, TruLens, or similar. Prompt Engineering & In-Context Learning:
Designing and optimizing prompts and few-shot examples for task-specific performance. Fine-Tuning Proficiency:
Experience fine-tuning foundation models for downstream tasks and knowing when to fine-tune vs. in-context or agentic approaches. Scalable Model Serving:
API-driven serving of self-hosted foundation models (e.g., SageMaker/Bedrock, Databricks, TGI, vLLM) with resilient integrations. Performance and Cost Optimization:
Techniques for low latency and high throughput, including quantization and caching. MLOps for AI Systems:
Proficiency with MLOps tools (e.g., MLFlow, Arize) and CI/CD, monitoring, and maintenance of AI systems. Educational Foundation:
Bachelor's in CS/Engineering/Statistics or related field; advanced degree is a strong plus. This role is remote and open to candidates located in the United States and Canada only. Please note that we are unable to provide visa sponsorship for this position. Salary, Benefits & Perks
At Invoca, all new hires in the U.S. receive benefits starting on day one. Our benefits offerings include: Flexible Time Off
– Encourages a healthy work-life balance with flexible PTO. Paid Holidays
– 16 U.S. paid holidays including a winter break. Health Benefits
– Medical, dental, and vision with multiple plan options; fertility assistance included. Retirement
– 401(k) with company match up to 4%. Stock Options
– All employees are invited to share in Invoca’s success. Mental Health Program
– SpringHealth support. Paid Family Leave
– Up to 6 weeks of paid leave for baby bonding/adoption/camily care. Paid Medical Leave
– Up to 12 weeks of paid leave for childbirth/medical needs. InVacation
– Bonus after 7 years of service. Wellness Subsidy
– Subsidy for gym memberships and more. Position Base Range
– Salary $160,000 - $252,000 plus bonus potential. DEI and Equal Opportunity
Our company is committed to creating a culture that is fair, equitable, and welcoming for everyone. We are an equal opportunity employer and value diversity. 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 proud to be an equal opportunity workplace. #LI-Remote
#J-18808-Ljbffr
About Invoca Commitment to our customers, collaboration, and continuous improvement in a positive environment are more than words written on a wall at Invoca, it’s our way of life. We take pride in an inclusive and egoless culture that helps us drive innovation and build value for both our customers and our people. And of course, there’s the competitive pay, great perks, and getting to work on an industry-leading product. If this sounds unlike most tech jobs you’ve had, you’re right. Come join us. We’re building something special. You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between. We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other. Learn more about the Invoca development team on our blog and check out our open source projects. Role Summary
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. Why You’ll Thrive Here
As a key member of our Data Platform team, you won't just build models; you'll architect the future of how businesses understand and interact with their customers. You will: Architect and Deploy Applied AI Systems:
Design, build, and deploy scalable, production-grade applications using foundation models and other advanced AI techniques to directly influence product performance and efficiency. Engineer Advanced RAG and Agentic Systems:
Build robust Retrieval-Augmented Generation (RAG) pipelines and multi-step agentic workflows that can reason, use tools, and solve complex problems. Contribute to Agentic AI System Evaluation:
Establish and manage rigorous evaluation frameworks for complex AI agents, including reasoning steps, tool use, task completion rates, and robustness. Excel in Prompt Engineering and Optimization:
Craft, test, and manage sophisticated prompt chains and templates for optimal performance, reliability, and cost-effectiveness. Build for Scale and Reliability:
Develop resilient serving architectures that integrate LLMs with enterprise systems, ensuring high availability and performance. Champion MLOps for Applied AI:
Develop and maintain MLOps and CI/CD pipelines for generative AI, including prompt versioning and evaluation of agent behavior. Translate Business Needs into AI-Powered Solutions:
Partner with product and engineering teams to translate customer challenges into innovative AI features. What You Bring to the Table
We're looking for a creative and driven Applied AI Engineer who is excited to tackle complex problems and build impactful solutions. You likely have: Proven Experience:
5+ years in Applied AI Engineering, ML Engineering, or a closely related role with a focus on AI-powered applications. Applied AI & Python Expertise:
Proficiency in Python and experience with AI/ML frameworks (e.g., LangChain, LlamaIndex, CrewAI, PyTorch); strong data/ML libraries (e.g., Pandas, spaCy). Production Generative AI Champion:
Experience deploying and maintaining production AI applications powered by LLMs and generative models. RAG Expertise:
Design, build, and optimize RAG pipelines with vector databases (e.g., Qdrant, Pinecone, Weaviate) and embedding/chunking techniques. Agentic AI Evaluation:
Experience with evaluation techniques for multi-step AI agents; familiarity with LangSmith, DeepEval, Ragas, TruLens, or similar. Prompt Engineering & In-Context Learning:
Designing and optimizing prompts and few-shot examples for task-specific performance. Fine-Tuning Proficiency:
Experience fine-tuning foundation models for downstream tasks and knowing when to fine-tune vs. in-context or agentic approaches. Scalable Model Serving:
API-driven serving of self-hosted foundation models (e.g., SageMaker/Bedrock, Databricks, TGI, vLLM) with resilient integrations. Performance and Cost Optimization:
Techniques for low latency and high throughput, including quantization and caching. MLOps for AI Systems:
Proficiency with MLOps tools (e.g., MLFlow, Arize) and CI/CD, monitoring, and maintenance of AI systems. Educational Foundation:
Bachelor's in CS/Engineering/Statistics or related field; advanced degree is a strong plus. This role is remote and open to candidates located in the United States and Canada only. Please note that we are unable to provide visa sponsorship for this position. Salary, Benefits & Perks
At Invoca, all new hires in the U.S. receive benefits starting on day one. Our benefits offerings include: Flexible Time Off
– Encourages a healthy work-life balance with flexible PTO. Paid Holidays
– 16 U.S. paid holidays including a winter break. Health Benefits
– Medical, dental, and vision with multiple plan options; fertility assistance included. Retirement
– 401(k) with company match up to 4%. Stock Options
– All employees are invited to share in Invoca’s success. Mental Health Program
– SpringHealth support. Paid Family Leave
– Up to 6 weeks of paid leave for baby bonding/adoption/camily care. Paid Medical Leave
– Up to 12 weeks of paid leave for childbirth/medical needs. InVacation
– Bonus after 7 years of service. Wellness Subsidy
– Subsidy for gym memberships and more. Position Base Range
– Salary $160,000 - $252,000 plus bonus potential. DEI and Equal Opportunity
Our company is committed to creating a culture that is fair, equitable, and welcoming for everyone. We are an equal opportunity employer and value diversity. 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 proud to be an equal opportunity workplace. #LI-Remote
#J-18808-Ljbffr