Backed by a16z.
About the role
Altera is seeking a talented and driven AI Engineering & Security Engineer to design, develop, and secure next-generation AI platforms, intelligent applications, and cloud-native services. This role focuses on building Generative AI solutions, agentic AI systems, secure AI infrastructure, and enterprise-grade AI platforms while ensuring the confidentiality, integrity, and responsible use of AI technologies. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's or Master's Degree in computer science, Artificial Intelligence, Cybersecurity, Software Engineering, or a related field
- 5+ years' Experience building Generative AI, LLM, RAG, Agentic AI, or machine learning applications in production environments
- Strong programming skills in Python and modern software development frameworks
- Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar technologies
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud
- Experience with containers, Kubernetes, Infrastructure as Code, and cloud-native architectures
More about this role
Altera is seeking a talented and driven AI Engineering & Security Engineer to design, develop, and secure next-generation AI platforms, intelligent applications, and cloud-native services. This role focuses on building Generative AI solutions, agentic AI systems, secure AI infrastructure, and enterprise-grade AI platforms while ensuring the confidentiality, integrity, and responsible use of AI technologies.
The ideal candidate combines expertise in AI engineering, software development, cloud technologies, and cybersecurity to deliver scalable, secure, and production-ready AI solutions.
Job Responsibilities
- Design, develop, and deploy Generative AI, LLM, RAG, and agentic AI solutions to solve complex business and engineering challenges.
- Build and maintain AI platforms, model serving infrastructure, evaluation frameworks, and AI application services in cloud and hybrid environments.
- Develop intelligent copilots, AI agents, orchestration frameworks, and automation solutions using state-of-the-art AI technologies.
- Implement AI security best practices, including model protection, prompt injection defenses, data protection, access controls, secrets management, and secure AI...
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