AI Developer, Python

DXC Technology

. Design, develop, test, and maintain AI agents and generative AI applications using Python .

Posted 9/18/2026full-timeArlington • Virginia • United StatesMid-LevelSenior💰 $73,400 - $136,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development for AI applications, including prompt engineering, agent workflows, and integration with APIs and external services. Proficient in developing production-quality applications with a focus on performance, reliability, and automated testing.

Highest-signal resume keywords

Python DevelopmentPrompt EngineeringAI Agent DevelopmentBoto3 and BotocoreREST API Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object-Oriented DevelopmentDependency ManagementException HandlingAutomated TestingDebuggingAPI DevelopmentJSON HandlingSemantic SearchRetrieval-Augmented GenerationModel Evaluation

Soft Skills

TroubleshootingCollaborationCommunication

Tools & Technologies

GitCI/CDAgileSAFeMCP Services

Certifications & Qualifications

Active Secret Security Clearance

Industry Keywords

Artificial IntelligenceSoftware EngineeringInformation SystemsLarge Language ModelsAgent Workflows

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, develop, test, and maintain AI agents and generative AI applications using Python
Develop agent workflows using large language models to interpret requests, reason across multiple steps, select tools, retrieve information, and generate grounded responses
Design, test, and refine prompts, task instructions, few-shot examples, response formats, and other prompt-engineering components
Develop agent orchestration logic including state management, context management, tool selection, multi-step execution, retries, exception handling, and recovery
Develop Python components using boto3, botocore, SDKs, and supporting libraries
Integrate agents with tools, APIs, MCP services, databases, knowledge sources, and enterprise applications
Build and optimize retrieval-augmented generation capabilities
Implement structured outputs, schema validation, response validation, guardrails, and error handling
Develop reusable Python libraries, utilities, agent components, prompts, and development patterns
Create automated unit, integration, regression, and AI evaluation tests
Analyze model and agent behavior to identify and correct performance or reliability issues
Compare and evaluate models, prompting approaches, retrieval strategies, and agent designs
Translate business problems into AI use cases, expected behaviors, acceptance criteria, and measurable outcomes
Support demonstrations, user testing, defect resolution, production validation, monitoring, and continuous improvement
Maintain source code, prompts, technical designs, configuration, evaluation criteria, and documentation
Participate in code reviews, architecture discussions, backlog refinement, demonstrations, testing, release readiness, and Agile/SAFe delivery activities
Perform other duties as assigned

Requirements

What you’ll need

Must be a US Citizen with an active Secret Security Clearance
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Systems, Engineering, or a related field; equivalent relevant experience may be considered
3+ years of hands-on software development experience, including strong experience developing production-quality applications and services using Python
Strong Python development skills including object-oriented development, modules/packages, dependency management, exception handling, logging, testing, debugging, and API development
Hands-on experience developing AI agents, agentic workflows, LLM-based applications, or comparable generative AI capabilities
Strong hands-on prompt engineering experience
Experience developing applications that interact with large language models through APIs or SDKs
Experience developing agent workflows using tools, APIs, or MCP-based services
Hands-on experience using boto3 and botocore
Experience with RAG, semantic search, embeddings, vector search, or other knowledge-grounded AI techniques
Experience developing REST APIs, consuming APIs, working with JSON, and integrating Python applications with external services
Experience developing automated tests or evaluation methods for AI applications
Experience with Git/source control, code reviews, CI/CD, debugging, logging, and modern software-development practices
Strong troubleshooting skills across Python code, agent behavior, prompts, model responses, retrieval, tools, APIs, and downstream services
Ability to work in a hybrid environment, on-site 2-3 days in Crystal City, Arlington, VA

Benefits

Comp & perks

Health insurance coverage
Dental insurance coverage
Vision insurance coverage
Employee wellness
Life insurance
Disability insurance
Retirement savings plan
Paid holidays
Paid time off
In-person collaboration with flexibility to support wellbeing, productivity, individual work styles, and life circumstances