AI Developer (Python) — Generative AI, Secret Clearance, Hybrid

DXC Technology Company; Arlington (TX); Hybrid; USD 73,000 - 136,000; Full time

Benefits offered by this job

DXC benefits program

Health, dental, and vision insurance

Paid time off

Job summary

DXC Technology Company is seeking a professional to design, develop, and maintain AI agents and gen AI applications using Python. The role emphasizes prompt engineering, RAG, and tool integrations within enterprise cloud contexts.

The candidate will work across prompts, workflows, tests, and architectures, collaborating with AI engineers and product owners to deliver reliable capabilities in a hybrid environment with on-site days in Crystal City, Arlington, VA.

Qualifications

• 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, including development and refinement of system prompts, task instructions, few-shot examples, structured outputs, grounding strategies, tool-use instructions, and context-management approaches.
• Experience developing applications that interact with large language models through APIs or SDKs.
• Experience developing agent workflows that use tools, APIs, or MCP-based services, including tool selection, structured inputs and outputs, error handling, and integration of tool results into agent behavior.

Responsibilities

• Design, develop, test, and maintain AI agents and generative AI applications using Python.
• Develop agent workflows that use large language models to interpret user requests, reason across multiple steps, select appropriate tools, retrieve information, and generate grounded responses.
• Design, test, and iteratively refine system prompts, task instructions, tool-use instructions, few-shot examples, response formats, and other prompt-engineering components.
• Apply prompt-engineering techniques to improve response accuracy, consistency, grounding, tool selection, adherence to business rules, and overall user experience.
• Develop agent orchestration logic including state management, context management, tool selection, multi-step execution, retries, exception handling, and recovery.
• Develop Python application components using boto3, botocore, and other appropriate SDKs and libraries to interact with AI, data, storage, security, and supporting cloud services.
• Integrate agents with approved tools, APIs, MCP services, databases, knowledge sources, and enterprise applications.
• Work with AI Integration Engineers to define tool requirements, expected inputs and outputs, validation rules, and integration behaviors needed by AI agents.
• Build and optimize retrieval-augmented generation (RAG) capabilities including query formulation, retrieval logic, context assembly, grounding, semantic search, and use of retrieved information within agent workflows.
• Develop prompt and context strategies for working with structured and unstructured enterprise information while minimizing irrelevant or unsupported model responses.
• Implement structured outputs, schema validation, response validation, guardrails, error handling, and other controls required for reliable enterprise AI behavior.
• Develop reusable Python libraries, utilities, agent components, prompts, and development patterns that can be used across multiple AI use cases.
• Create automated unit, integration, regression, and AI evaluation tests covering agent workflows, prompts, tool selection, model responses, retrieval quality, and application behavior.
• Develop and maintain evaluation methods for response quality, factual grounding, hallucination, tool-use accuracy, retrieval effectiveness, latency, consistency, and regression.
• Analyze model and agent behavior using logs, prompts, responses, tool calls, retrieved context, and downstream results to identify and correct performance or reliability issues.
• Compare and evaluate models, prompting approaches, retrieval strategies, and agent designs based on accuracy, reliability, performance, maintainability, security, and suitability for the use case.
• Collaborate with functional experts and Product Owners to translate business problems into clearly defined AI use cases, expected behaviors, acceptance criteria, and measurable outcomes.
• Support demonstrations, user testing, defect resolution, production validation, monitoring, and continuous improvement of deployed AI capabilities.
• Maintain source code, prompts, technical designs, configuration, evaluation criteria, support documentation, and other AI development artifacts.
• Participate in code reviews, architecture discussions, backlog refinement, demonstrations, testing, release readiness, and other Agile/SAFe delivery activities.
• Other duties as assigned.

Skills

Python

LLM experience

Prompt engineering

REST APIs

Tool integration

CI/CD

Debugging

AWS/Boto3

Education

Bachelor's degree in Computer Science or related field

Tools

boto3

botocore

APIs

Docker

Job description

DXC Technology Company is seeking a professional to design, develop, and maintain AI agents and gen AI applications using Python. The role emphasizes prompt engineering, RAG, and tool integrations within enterprise cloud contexts.

The candidate will work across prompts, workflows, tests, and architectures, collaborating with AI engineers and product owners to deliver reliable capabilities in a hybrid environment with on-site days in Crystal City, Arlington, VA.