AI Software Engineer

Summary

V-Soft Consulting Group, Inc. is currently hiring for an AI Software Engineer to support their premier client. The role involves designing, building, and testing AI experiments, ensuring responsible oversight of AI workflows, and applying cybersecurity knowledge to enhance operational security goals.

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

Skills

• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Medical
• Dental
• Vision
• 401(k) plan