{"schemaVersion":"jobsearcher.job.v1","id":"7dd9ba2128382c3d738f4f7b","url":"https://jobsearcher.com/jobs/7dd9ba2128382c3d738f4f7b","canonicalUrl":"https://jobsearcher.com/jobs/7dd9ba2128382c3d738f4f7b","title":"Artificial Intelligence Engineer","description":"Job Responsibilities: ● Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies. ● Write clean and efficient code, and ensure code maintainability and reusability. ● Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding). ● Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks. ● Perform code reviews to ensure code quality and consistency. ● Conduct testing to ensure application quality and reliability. ● Create and maintain technical documentation for web applications. ● Participate in project planning, estimation, and prioritization. ● Stay up to date with the latest technologies for Python development. ● Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively. ● Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices. Requirement: ● Experience in software development in Python3. ● Decent understanding of the software development/testing life cycle. ● Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills ● Experience with version control tools, such as Git. ● Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design). ● Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns. ● Solid knowledge of vector search concepts and at least one vector DB in production. ● Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset. Preferred Qualifications: ● Master’s Degree in Computer Science, Software Engineering, or related field. ● 1+ year professional experience in Python web application development with either Flask or Django. ● Experience in RESTful API development in Python. ● Understanding of Python web application frameworks such as Flask or Django. ● Experience with Cloud services, such as AWS. ● Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage). ● Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion). ● Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval. ● Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management. ● Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).","company":"Beaconfire","rawCompany":"beaconfire","city":"Ny","state":"WAL","isRemote":false,"isActive":false,"createdAt":"2026-05-11T18:48:36.988Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence Engineer","description":"Job Responsibilities: ● Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies. ● Write clean and efficient code, and ensure code maintainability and reusability. ● Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding). ● Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks. ● Perform code reviews to ensure code quality and consistency. ● Conduct testing to ensure application quality and reliability. ● Create and maintain technical documentation for web applications. ● Participate in project planning, estimation, and prioritization. ● Stay up to date with the latest technologies for Python development. ● Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively. ● Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices. Requirement: ● Experience in software development in Python3. ● Decent understanding of the software development/testing life cycle. ● Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills ● Experience with version control tools, such as Git. ● Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design). ● Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns. ● Solid knowledge of vector search concepts and at least one vector DB in production. ● Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset. Preferred Qualifications: ● Master’s Degree in Computer Science, Software Engineering, or related field. ● 1+ year professional experience in Python web application development with either Flask or Django. ● Experience in RESTful API development in Python. ● Understanding of Python web application frameworks such as Flask or Django. ● Experience with Cloud services, such as AWS. ● Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage). ● Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion). ● Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval. ● Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management. ● Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).","datePosted":"2026-05-11T18:48:36.988Z","dateModified":"2026-05-11T18:48:36.988Z","hiringOrganization":{"@type":"Organization","name":"Beaconfire","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ny","addressRegion":"WAL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7dd9ba2128382c3d738f4f7b"},"url":"https://jobsearcher.com/jobs/7dd9ba2128382c3d738f4f7b"}}