Forward Deployed Engineer
Qurrent
About the role
About Qurrent
Qurrent is pioneering the future of work. Founded in 2023 and headquartered in San Francisco, we build fully managed, autonomous digital workforces that take ownership of complex financial operations end-to-end.
Our customers, including leading enterprises across finance services, professional services, technology, and property management, trust us to run critical workflows like invoice-to-cash, procure-to-pay, record-to-report, and FP&A.
Our mission is to evolve the nature of work and we're looking for people who want to be part of building something that's categorically different from anything else in the AI landscape.
Forward Deployed Engineer
We are seeking highly skilled and results-driven Forward Deployed Engineers to join our growing team. In this pivotal role, you will be instrumental in delivering custom AI-agent solutions to our customers. You will collaborate closely with customers to understand their specific needs and challenges, then design, implement, and deliver AI solutions that exceed expectations.
Responsibilities:
Leverage cutting-edge LLMs to build reliable systems of multi-AI agent workflows in companies
Lead the end-to-end lifecycle of AI solution delivery, from initial customer needs assessment to successful deployment and ongoing support.
Write Python applications that will deliver on project requirements documents, ensuring all deliverables are met on time and within budget.
Partner with customers to identify and re-engineer business processes for optimization through AI integration, leveraging Qurrent’s advanced Operating System.
Utilize your expertise in AI tools and LLMs to create and develop bespoke AI solutions as part of Qurrent’s engineering team.
Develop and present demos for presales meetings to effectively communicate the potential of Qurrent’s solutions.
Convey customer insights, driving continuous improvement of Qurrent’s Operating System.
Qualifications:
6+ years of experience in building complex technical projects in Python, preferably within applied AI or related technology sectors.
Technical and conversational fluency in AI, LLMs, Machine Learning and at least one of the major clouds (i.e. AWS, GCP, Azure)
Strong understanding of AI concepts, particularly in the use of LLMs and other AI techniques including RAG, agentic workflows, fine tuning, or other LLM-based tools
Proficiency in process mapping and process re-engineering, with a passion for optimizing and re-imagining workflows.
Proficiency in full-stack software development, and/or willingness to learn new technologies and frameworks.
Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
Experience in creating effective demos and presentations for pre-sales engagements.
Demonstrated track record of delivering projects that exceed customer expectations.
Strong analytical and problem-solving skills, with a proactive and results-oriented approach
Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
What We Offer:
Innovation: Be at the forefront of the AI revolution, shaping the future of enterprise applications.
Environment: A dynamic and collaborative work environment where your ideas are valued.
Compensation: Competitive compensation package, with significant equity upside.
Teamwork: The chance to work on challenging and rewarding projects with a talented and passionate team.
Growth: Continuous learning and development opportunities within a supportive and established network.
Qurrent offers excellent benefits, competitive compensation packages and generous equity plans. The base salary pay range for this role is $150,000 - 220,000 USD. Qurrent is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.
Responsibilities
- Build reliable multi-agent workflows using LLMs.
- Lead AI solution delivery from customer assessment through deployment and ongoing support.
- Develop Python applications that meet project requirements and timelines.
- Help customers optimize and re-engineer business processes through AI integration.
- Create bespoke AI solutions and present product demos for presales engagements.
- Share customer insights to inform improvements to Qurrent’s operating system.
Qualifications
- 6+ years of experience building complex technical projects in Python, preferably in applied AI or related fields.
- Fluency in AI, LLMs, machine learning, and at least one major cloud platform.
- Knowledge of LLM techniques such as RAG, agentic workflows, and fine-tuning.
- Experience with process mapping, process re-engineering, and full-stack software development.
- Experience putting AI or machine learning systems into production.
- Ability to create effective demos and presentations for presales engagements.
- Strong project delivery, analytical, problem-solving, communication, and consultative skills.
Benefits
- Competitive compensation package.
- Generous equity plan with significant upside.
- Continuous learning and development opportunities.
- Dynamic, collaborative environment and supportive network.
Skills mentioned
About Qurrent
Your business runs. You lead. Qurrent is a fully managed digital workforce. Custom teams of digital workers trained on your SOPs that run your back-office operations end to end. Think of us as the modern alternative to a BPO. We take full ownership of your processes, deliver measurable outcomes, and work alongside your human team, not instead of it. We built Qurrent for the workflows that actually run the business — financial operations, compliance, complex back-office processes. The ones where errors have consequences and volume compounds. Not copilots. Not point solutions. A workforce that acts, decides, and reports, so your team can focus on what only humans can do. Enterprise-grade. Model-neutral. Outcome-based. 2+ years in production with enterprise customers. SOC 2 aligned. Full audit trail. When it matters most, our team is there: white-glove support at go-live, 24/7 coverage for critical issues, and a commitment that scales with your business.
H-1B sponsorship history
Historical employer filing data was found for Qurrent. The employer record includes 4 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.