AI Software Engineer
United States
Full-time
6 days ago
H1B Sponsor Likely
Key skills
AWS BedrockPythonAI/ML engineeringAWS servicesCyber security conceptsSecure AI developmentHuman in the loopModel safety evaluationsSecure coding principlesAIMLLLMData EngineeringAWSLambdaS3DynamoDBCloudWatchBedrock
About this role
V-Soft Consulting Group, Inc. is currently hiring for an AI Software Engineer (Remote) for their premier client. The role involves designing and testing AI experiments, developing secure AI-related code, and implementing processes for responsible AI oversight.
Responsibilities:
- Assist in designing, building, and testing AI experiments leveraging AWS Bedrock and external lab environments, including model selection, prompting strategies, and orchestration patterns
- Develop AI and MCP related code using secure practices to minimize risks related to model context sharing and tool invocation
- Implement and maintain human in the loop processes to ensure responsible oversight of AI and agent workflows
- Support data preparation, pipeline construction, and cost monitoring tasks to ensure experiments run within allocated usage budgets
- Apply cyber security knowledge to help shape experiments that support threat detection, interdiction, and operational security goals
- Document experiment configurations, testing outcomes, risks, and recommended next steps
- Contribute to reusable templates, runbooks, and guardrails that help the team scale its AI experimentation safely
Requirements:
- 2–5 years of experience in AI/ML engineering, data engineering, or software engineering roles
- Hands-on experience working with AWS Bedrock (model provisioning, API integration, prompt configuration, model evaluation)
- Experience working with AWS services such as Lambda, S3, CloudWatch, Step Functions, or DynamoDB
- Experience implementing workflows that incorporate human in the loop validation or approval steps
- Exposure to cyber security concepts such as detection engineering, incident response, threat intelligence, or security operations
- Proficiency in Python, including interacting with AI/LLM APIs and building small scale automation or orchestration components
- Understanding of secure AI development practices, including safe prompt design and data handling minimization
- Experience with RAG patterns, vector databases, or embeddings
- Familiarity with model safety evaluations or responsible AI frameworks
- Prior work building prototypes or proof of concept AI tools
- Understanding of secure coding principles and adversarial AI risks