What are the responsibilities and job description for the Forward Deployed Backend Python Engineer position at Roc Search?
About the Role
Forward Deployed Backend Python Engineer
Our client is developing AI-powered software to help insurance organizations modernize and automate complex, document-intensive workflows. Their platform integrates with internal systems to process and analyze large-scale datasets, enabling teams to operate more efficiently and make more informed decisions.
With strong early traction, a growing customer base, and backing from established investors, the company is scaling quickly and expanding its engineering team.
They are seeking a Forward Deployed Backend Engineer to work directly with customers to implement and operationalize AI-driven solutions in real-world environments.
What You’ll Do
In this role, you will serve as a bridge between engineering and customers, deploying and customizing backend systems that leverage large language models to automate insurance workflows.
You will work hands-on with client environments—designing integrations, configuring systems, and ensuring successful adoption of the platform in production. This is a highly collaborative and impact-driven role where you’ll help translate customer needs into scalable technical solutions.
Responsibilities
- Develop and deploy backend services that power AI-driven workflow automation
- Work directly with customers to design, implement, and refine solutions
- Integrate large language models into production systems and business processes
- Configure, customize, and maintain deployments within client environments
- Build and manage integrations with external systems and data sources
- Troubleshoot technical issues and optimize system performance in production
- Collaborate with internal engineering teams to improve platform capabilities based on customer feedback
What They’re Looking For
- 3 years of experience building and owning production backend systems
- Strong proficiency in Python and experience developing scalable services
- Experience deploying applications in cloud environments (e.g., AWS)
- Hands-on experience integrating LLMs into real-world applications
- Familiarity with APIs from AI providers or similar services
- Strong problem-solving skills, particularly in system integration and debugging
- Ability to work directly with customers and translate business needs into technical solutions
- Comfortable in fast-paced, early-stage environments with evolving requirements
- Ownership mindset and strong communication skills
Nice to Have
- Experience working with large documents or unstructured data pipelines
- Familiarity with RAG architectures, embeddings, or vector databases
- Exposure to monitoring, evaluation, and reliability practices for AI systems
- Background in enterprise software or workflow-heavy applications
This client is NOT able to sponsor
Salary : $170,000 - $225,000