{"schemaVersion":"jobsearcher.job.v1","id":"6f85c9e316bcd1af2155a8dd","url":"https://jobsearcher.com/jobs/6f85c9e316bcd1af2155a8dd","canonicalUrl":"https://jobsearcher.com/jobs/6f85c9e316bcd1af2155a8dd","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).BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).","company":"Beaconfire","rawCompany":"beaconfire","city":"Oglesby","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-01T09:04:38.330Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"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).BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).","datePosted":"2026-08-01T09:04:38.330Z","dateModified":"2026-08-01T09:04:38.330Z","hiringOrganization":{"@type":"Organization","name":"Beaconfire","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oglesby","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6f85c9e316bcd1af2155a8dd"},"url":"https://jobsearcher.com/jobs/6f85c9e316bcd1af2155a8dd"}}