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.