GEN AI Developer

Agentic AI Developer (Python / Vertex AI / RAG) About the Company BeaconFire is based in Central New Jersey and specializes in Software Development, Web Development, and Business Intelligence . We are seeking a talented Agentic AI Developer to build and productionize Vertex AI-based Retrieval-Augmented Generation (RAG) systems, design reliable AI agents, and develop scalable AI applications using modern cloud technologies. Responsibilities Collaborate with cross-functional teams to design and develop high-quality web applications using Python, Flask, Django , and related technologies. Write clean, efficient, maintainable, and reusable code. Design and implement RAG pipelines on Google Cloud Platform (GCP) using Vertex AI , including: Document chunking Embeddings Indexing Retrieval Reranking Grounding Build agentic AI workflows , including: Tool use and function calling Planning Reflection and guardrails Structured outputs Perform code reviews to ensure code quality, consistency, and best practices. Develop and execute testing strategies to ensure application quality and reliability. Create and maintain technical documentation. Participate in project planning, estimation, and sprint prioritization. Stay up to date with emerging Python and AI technologies. Define and execute evaluation frameworks, including: Retrieval metrics Answer quality evaluation Hallucination detection Grounding verification Continuously improve system performance through iterative evaluation. Deploy production-ready applications with: REST APIs Monitoring and observability Cost and performance optimization CI/CD pipelines Security best practices Qualifications Required 3+ years of experience in Python software development. Good understanding of the Software Development Life Cycle (SDLC) and software testing methodologies. Experience with relational databases such as MySQL or PostgreSQL . Experience using version control systems such as Git . Hands-on experience building RAG solutions , including: Hybrid search Chunking strategies Embeddings Reranking Prompt engineering Schema design Experience with at least one agentic AI framework, such as: LangGraph LangChain LlamaIndex Semantic Kernel AutoGen Strong understanding of vector search concepts and experience with at least one production-grade vector database. Solid software engineering practices, including: Code reviews Automated testing Telemetry and observability Secure-by-design principles Reliability engineering Preferred Skills Master's degree in Computer Science, Software Engineering, or a related field. 1+ years of professional experience developing Python web applications using Flask or Django . Experience developing RESTful APIs in Python. Knowledge of Python web frameworks such as Flask and Django. Experience with cloud platforms such as AWS or Google Cloud Platform (GCP) . Experience with Vertex AI and GCP services, including: IAM Cloud Run GKE Cloud Storage Logging & Monitoring Experience with Knowledge Graphs for RAG , including entity linking, graph traversal, and retrieval fusion. Familiarity with messaging and streaming technologies such as Google Pub/Sub or Apache Kafka . Experience building document processing pipelines using Document AI . Knowledge of multilingual retrieval systems. Experience with evaluation frameworks such as: RAGAS TruLens Custom evaluation harnesses Experience with prompt management and versioning. Basic frontend experience using React or Next.js , or experience building internal developer platforms and tooling. Compensation & Benefits BeaconFire offers a competitive compensation package based on experience and qualifications. BeaconFire is an E-Verified employer and is committed to providing equal employment opportunities to all qualified applicants. Visa sponsorship is available for eligible candidates. Show more Show less