Vadum Inc. · 1 month ago
AI Solutions Engineer
Vadum Inc. is a company known for practical innovation in national defense research and development. They are seeking a talented AI Solutions Engineer to design, build, and deploy AI solutions, while collaborating with customers to deliver high-impact pilot programs and integrations.
Mechanical EngineeringProduct DesignSensorSoftwareTest and Measurement
Responsibilities
Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations
Architect and build computer vision feature extraction, classification, and object detection pipelines
Develop prototypes, proof of concept, and small-scale pilot systems aligned with customer use cases
Collaborate with product and research teams to translate requirements into scalable, production-ready solutions
Lead technical discovery, solution scoping, and integration planning with customer engineering teams
Deploy AI pilots into customer environments (cloud, on-prem, hybrid)
Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation systems
Troubleshoot technical issues and guide customers through adoption and operationalization
Provide hands-on technical guidance to customers during pilot and post-deployment phases
Develop documentation, reference architectures, and repeatable implementation patterns
Train customer teams on best practices for general AI systems and workflow integration
Serve as the technical advocate for customers internally and influence future product direction
Work closely with engineering to relay customer feedback, edge cases, and new integration requirements
Partner with sales and customer success to support pre-sales demos, solutioning, and scoping discussions
Contribute to internal and external technical materials (whitepapers, demos, templates)
Qualification
Required
Ability to obtain Security Clearance
Bachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field
7+ years of experience in software engineering, ML engineering, or solutions engineering
Hands-on experience with LLM pipelines and workflows as well as computer vision feature extraction, classification, and object detection
Strong Python skills and familiarity with AI/ML libraries (PyTorch, TensorFlow, LangChain, LlamaIndex, etc.)
Experience deploying AI applications via cloud platforms (AWS, GCP, Azure) or on-prem environments
Demonstrated success delivering customer-facing pilots, proofs of concept, or integrations
Excellent communication skills with the ability to translate technical concepts to diverse audiences
Preferred
Familiarity with MLOps workflows, CI/CD, containerization (Docker/Kubernetes)
Background in enterprise data systems or API-first architectures
Previous technical consulting or field engineering experience
Benefits
Competitive benefits
Opportunities to work on cutting-edge projects
Company
Vadum Inc.
Vadum’s expertise is bringing concepts to life in the form of products or prototypes to address challenging national defense problems.
Funding
Current Stage
Growth StageRecent News
2022-09-29
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