TechTrend is seeking a Senior AI Engineer to lead the development and prototyping of cutting-edge AI solutions that transform how clients leverage artificial intelligence in their operations, addressing complex business challenges for major U.S. Government customers.
Requirements
- 5+ years of hands-on software development experience with demonstrated expertise in Python, and familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar
- Proven experience designing and deploying AI/ML solutions in Google Cloud Platform, with hands-on knowledge of Vertex AI, BigQuery ML, Document AI, or other GCP AI services
- Strong understanding of machine learning fundamentals, model development lifecycle, and production ML system design
- Experience with containerization (Docker, Kubernetes/GKE) and orchestration of AI workloads in cloud environments
- Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures for generative AI applications
- Experience with API development and integration using REST, gRPC, or similar protocols
- Strong problem-solving skills with ability to rapidly prototype and iterate on AI solutions
Responsibilities
- Lead the design, development, and prototyping of innovative AI solutions primarily using Google Cloud Platform (GCP) AI/ML services including Vertex AI, AI Platform, Document AI, and related technologies.
- Architect and implement end-to-end AI pipelines including data ingestion, model training, deployment, monitoring, and continuous improvement using GCP native services.
- Develop proof-of-concepts and prototypes that demonstrate the art-of-the-possible with generative AI, large language models (LLMs), computer vision, natural language processing, and predictive analytics.
- Leverage experience with Azure AI services (Azure OpenAI, Azure Machine Learning, Cognitive Services) to provide cross-cloud AI solutions when required.
- Implement responsible AI practices including model explainability, bias detection, security controls, and compliance with industry standards and government regulations.
- Work within DevOps/MLOps environments to automate infrastructure provisioning, model deployment, and monitoring using Infrastructure as Code (IaC) tools.
- Create comprehensive technical documentation including architecture diagrams, API specifications, model cards, and operational runbooks for AI solutions.
Other
- Be a member of an environment that thrives on innovation and ideas of all members of the team.
- Our environment is highly collaborative and allows you the opportunity to continue building your skills through training and multiple diverse projects while mentoring and guiding technical team members.
- Partner with stakeholders, product teams, and technical leadership to rapidly solution and architect AI capabilities that address complex business challenges for major U.S. Government customers.
- Provide technical leadership and mentorship to development team members, guiding best practices in AI/ML engineering, cloud architecture, and agile development methodologies.
- Collaborate closely with business teams, data scientists, and IT professionals to translate business requirements into scalable, production-ready AI solutions.
