Agentic AI Developer (Python)

BeaconFire Inc.

New Jersey

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Visa sponsorship available
Hybrid/Onsite work
Career growth opportunities
Diversity and inclusion

Job summary

BeaconFire is seeking an Agentic AI Developer (Python) to join our Central NJ team in a hybrid/on-site role. You will own AI-driven web applications, from data ingestion to deployment, focusing on scalable, production-ready systems and tool-using agents.

You’ll design RAG pipelines on Vertex AI, work with vector databases, and lead end-to-end delivery while maintaining strong engineering standards and security practices. Visa sponsorship is available for this position.

Qualifications

  • Strong Python 3 development experience.
  • Experience with RAG systems and AI pipelines.
  • Experience deploying production-grade APIs on cloud.
  • Familiarity with relational databases (MySQL, PostgreSQL).

Responsibilities

  • Design and develop web applications using Python and modern frameworks.
  • Architect RAG pipelines on Google Cloud / Vertex AI.
  • Build agentic workflows with tool use and guardrails.
  • Ensure production readiness: APIs, CI/CD, monitoring.
  • Lead end-to-end system delivery from ingestion to deployment.
  • Create technical documentation and participate in reviews.

Skills

Python
Flask
Django
RAG pipelines
Vertex AI
GCP
Vector databases
LangChain
Git
RESTful APIs
Testing practices
Security

Education

Master's degree in Computer Science or related field

Tools

MySQL
PostgreSQL
Git
React
Next.js

Job description

Agentic AI Developer (Python) | Join BeaconFire

Central NJ (Hybrid/Onsite)

BeaconFire — Software Development | Web Development | Business Intelligence

BeaconFire is looking for a high-impact Agentic AI Developer who thrives at the intersection of AI systems, backend engineering, and production-scale deployment. If you’re passionate about building intelligent, tool-using agents and Vertex AI-powered RAG systems, this role puts you at the center of cutting-edge AI innovation.

You’ll take end-to-end ownership—from data ingestion to deployment—building scalable, reliable, and production-ready AI applications.

What You’ll Do
  • Design and develop high-quality web applications using Python, Flask, Django, and modern frameworks
  • Architect and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding)
  • Build agentic workflows with tool use, planning, guardrails, and structured outputs
  • Work with vector databases and graph databases to enable advanced retrieval
  • Lead end-to-end system delivery: ingestion → orchestration → evaluation → deployment
  • Define and run evaluation frameworks (retrieval metrics, hallucination detection, grounding checks)
  • Ensure production readiness: APIs, CI/CD, monitoring, observability, and cost optimization
  • Collaborate in code reviews, testing, and architecture discussions
  • Create and maintain technical documentation
  • Stay current with emerging trends in AI/ML and Python ecosystems
What We’re Looking For
  • Strong experience in Python (Python 3) development
  • Solid understanding of software development lifecycle & testing practices
  • Experience with relational databases (MySQL, PostgreSQL, etc.)
  • Hands‑on experience building RAG systems (hybrid search, reranking, embeddings, prompt/schema design)
  • Familiarity with agentic frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen)
  • Experience with vector search and vector databases in production
  • Proficiency with Git/version control systems
  • Strong engineering mindset: clean code, reliability, security, and scalability
Nice to Have
  • Master’s degree in Computer Science or related field
  • 1 year experience with Flask or Django
  • Experience building RESTful APIs in Python
  • Exposure to cloud platforms (GCP preferred, AWS acceptable)
  • Knowledge of Vertex AI & GCP services (IAM, Cloud Run, GKE, monitoring)
  • Experience with knowledge graphs for RAG (entity linking, graph-based retrieval)
  • Familiarity with streaming systems (Kafka, Pub/Sub) and document pipelines
  • Experience with evaluation tools (RAGAS, TruLens, or custom frameworks)
  • Basic frontend integration (React/Next.js) or internal tooling experience
Why Join BeaconFire?
  • Work on next-generation AI systems with real-world impact
  • Opportunity to own and ship production-grade AI solutions
  • Collaborative and innovation-driven environment
  • Visa sponsorship available (E-Verified company)
  • Equal opportunity employer committed to diversity and inclusion
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