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Sedgwick

Senior Backend AI Developer

Sedgwick

. Design and implement backend services and APIs supporting Generative AI and LLM-powered applications .

Posted 11/3/2026full-timeRemote • Texas • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend service design and implementation, particularly for Generative AI and LLM-powered applications, with strong capabilities in Python, SQL, and cloud environments like AWS and Azure.

Highest-signal resume keywords
Backend Development In PythonExperience With AWS And AzureSupport For LLM-Based SystemsKnowledge Of SQL And APIsDevelopment Of Data Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend Service DesignPython ProgrammingSQL ProficiencyAPI Development (REST/gRPC)Data Pipeline DevelopmentCloud Deployment (AWS/Azure)Vector Search ServicesAsynchronous ProcessingError HandlingMonitoring And Logging
Soft Skills
Collaborative Work StyleProblem-Solving AbilityAdaptability In Fast-Paced Environments
Tools & Technologies
SQL ServerOpenSearchPineconeAzure AI SearchContainerization Tools
Certifications & Qualifications
Bachelor’s Degree In Computer ScienceMaster’s Degree Preferred
Industry Keywords
Generative AILLM-Powered ApplicationsRetrieval-Augmented GenerationAgent-Based SystemsEnterprise Architecture

Tech Stack

Tools & technologies
AssemblyAWSAzureCloudGRPCPySparkPythonSQL

About the role

Key responsibilities & impact
  • Design and implement backend services and APIs supporting Generative AI and LLM-powered applications
  • Build and maintain backend components for Retrieval-Augmented Generation (RAG) solutions, including document ingestion pipelines, embedding services, vector index management, retrieval logic, and response assembly
  • Implement backend support for agent-based AI systems, including task orchestration, state management, tool execution, and enterprise-system interactions
  • Develop scalable and maintainable backend code primarily in Python, with supporting use of SQL and PySpark
  • Integrate AI services with enterprise and legacy systems, including SQL Server, on-premises databases, and mainframe-adjacent platforms
  • Implement authentication, authorization, logging, monitoring, and error handling
  • Support deployment, configuration, and operation of AI backend workloads in AWS and Azure, including containerized and managed-service deployments
  • Collaborate with Gen AI Architects, Applied AI Developers, data engineers, and infrastructure teams
  • Troubleshoot and resolve backend performance issues involving latency, throughput, cost, and reliability

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline from an accredited college or university required
  • Master’s degree preferred
  • Four (4) to six (6) years of experience in backend or platform engineering
  • At least two (2) years supporting AI-driven or data-intensive services in a production or enterprise environment
  • Equivalent combination of education and experience accepted
  • Hands-on experience developing backend services on AWS and/or Azure, including deployment and operations of cloud-based applications
  • Practical experience supporting LLM-based systems, vector search services (e.g., OpenSearch, Pinecone, Azure AI Search), or event-driven architectures
  • Strong backend development skills in Python
  • Solid working knowledge of SQL, APIs (REST/gRPC), and backend service design
  • Working understanding of LLMs, embeddings, RAG architectures, and agent-based systems
  • Experience with data pipelines, asynchronous processing, and integration with enterprise data platforms
  • Knowledge of cloud infrastructure concepts, security patterns, and operational best practices
  • Ability to implement backend services in alignment with enterprise architecture, governance, and compliance requirements
  • Ability to work collaboratively in a fast-paced Transformation Office or innovation-driven environment
  • Ability to meet or exceed Performance Competencies

Benefits

Comp & perks
  • Work-life balance
  • Reasonable accommodation consideration
  • Equal Opportunity Employer
  • Drug-Free Workplace
  • Diverse, equitable, and inclusive workplace