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CSC

Senior Applied AI – Agent Engineer

CSC

. Build production AI agents and AI-enabled applications .

Posted 10/8/2026full-timeWilmington • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building AI agents and applications, with strong capabilities in Python, AWS, and database management. Proficient in automating workflows and implementing security measures for AI solutions.

Highest-signal resume keywords
Python ProgrammingAWS ExperienceLLM IntegrationREST API DevelopmentSQL/Database Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonFastAPIREST APIsSQLAI AgentsTool/Function CallingRAG SolutionsVector SearchDockerCI/CD
Tools & Technologies
AWS LambdaAWS S3AWS IAMAWS API GatewayAWS CloudWatchAWS EventBridgeOpenSearchPostgreSQLPgvectorAmazon Bedrock
Industry Keywords
AI ApplicationsBusiness AutomationHuman-in-the-Loop WorkflowsSecurityObservability

Tech Stack

Tools & technologies
AWSDockerPostgresPythonSQL

About the role

Key responsibilities & impact
  • Build production AI agents and AI-enabled applications
  • Automate multi-step business workflows using LLMs, APIs, databases, and enterprise systems
  • Develop Python/FastAPI services and integrations
  • Implement tool/function calling, structured outputs, human approvals, retries, monitoring, and audit trails
  • Build RAG solutions for enterprise knowledge and document search
  • Integrate vector search using OpenSearch, PostgreSQL/pgvector, or similar technologies
  • Deploy and operate AI applications on AWS
  • Implement security, IAM, guardrails, and least-privilege access
  • Deliver secure, measurable business automation in production

Requirements

What you’ll need
  • Strong Python and software engineering experience
  • Experience building REST APIs and integrating enterprise systems
  • Hands-on experience with LLMs such as OpenAI, Claude, or Amazon Bedrock
  • Experience with AI agents, tool/function calling, RAG, and vector search
  • Strong SQL/database skills
  • AWS experience with Lambda, S3, IAM, API Gateway, CloudWatch, EventBridge/SQS, and Bedrock
  • Experience with Docker and CI/CD
  • Understanding of AI security, observability, evaluation, and human-in-the-loop workflows
  • Experience with Bedrock AgentCore, Bedrock Knowledge Bases, Guardrails, Step Functions, OpenSearch, or pgvector is a plus
  • Ability to work Monday-Friday, 8am-5pm ET

Benefits

Comp & perks
  • Annual success-sharing bonuses or commission plans based on individual performance
  • Annual leave
  • Tuition reimbursement
  • Referral bonuses
  • Competitive and comprehensive benefits package
  • Hybrid or remote work schedules as business needs allow
  • Support and necessary resources for colleagues with disabilities
  • Global career opportunities