Job summary
Job post source
This job is directly from Programming.com
Job overview
The AI Engineer role at Programming.com involves designing and developing advanced AI applications and backend services, significantly impacting the company's AI capabilities and product offerings.
Responsibilities and impact
The AI Engineer will design AI-powered applications using RAG techniques, build scalable backend services in Java, Python, and Node.js, develop agent-based systems with frameworks like LangChain or AutoGPT, integrate AWS Bedrock and related services, work with vector databases, and collaborate with teams to deploy production-ready AI systems.
Experience and skills
Candidates must have 8+ years of backend development experience in Java, Python, or Node.js, strong AWS Cloud expertise especially with AWS Bedrock, hands-on experience with agentic AI frameworks like LangChain or AutoGPT, knowledge of RAG architectures, vector databases, and agent communication protocols; familiarity with other LLM providers and DevOps/MLOps is a plus.
Unique job features
This role is distinguished by its focus on cutting-edge AI technologies such as Retrieval-Augmented Generation, autonomous agent architectures, and deep integration with AWS Bedrock services.
Company overview
Programming.com is a leading online platform specializing in coding education and software development resources. They generate revenue through subscription-based access to premium courses, coding bootcamps, and corporate training programs. Founded in 2010, the company has grown rapidly, partnering with industry giants like Google and Microsoft to offer cutting-edge content. Their mission is to democratize coding education and empower individuals to pursue careers in technology.
How to land this job
Tailor your resume to emphasize your extensive backend development experience with Java, Python, and Node.js, highlighting projects involving scalable AI systems and cloud integration.
Focus on showcasing your expertise in AWS Bedrock and related AWS services such as S3, Lambda, and SageMaker, as these are critical for the role at Programming.com.
Highlight your hands-on experience with agentic AI frameworks like LangChain or AutoGPT, and your knowledge of RAG architectures and vector databases like Pinecone, Weaviate, or FAISS.
Apply through multiple platforms including Programming.com's official careers page and LinkedIn to maximize your chances of being noticed by recruiters.
Connect with AI and backend engineering teams at Programming.com on LinkedIn, initiating conversations by referencing recent AI innovations or asking about their use of specific tools like LangChain or AWS Bedrock.
Optimize your resume for ATS by incorporating key phrases from the job description such as 'Retrieval-Augmented Generation,' 'agentic AI architectures,' 'AWS Bedrock,' and 'vector databases' to ensure your application passes automated screenings.
Use Jennie Johnson's Power Apply feature to automatically tailor your resume, identify the best application channels, and find relevant LinkedIn contacts, saving you time and increasing your chances of landing the AI Engineer role.
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