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# Software Engineer, Agentic AI & Python Platform Development

- **Company:** THE JUDGE GROUP, INC.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $166,400.0 - $178,880.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Software Applications, Application Performance Management, Automated Storage and Retrieval Systems, Audit Trail, Microsoft Azure, Cloud Computing, Distributed Systems, Fault Tolerance, Monitoring of Systems, Python (Programming Language), Knowledge-Based Systems, MongoDB, Multiprocessing, Routing, NoSQL, Performance Tuning, Software Architecture, Reliability Engineering, Search Technologies, Software Deployment, Software Engineering, SQL Databases, Data Streaming, Workflow Management Systems, Google Cloud, System Availability, Large Language Models, Multi-Agent Systems, Database Optimization, Prompt Engineering, IT Architecture, Model Validation, Caching, Generative AI, Backend, Fastapi, Event Driven Architecture, Kubernetes, Information Technology, Low Latency, Apache Kafka, Virtual Agents, Restful APIs, Automation Anywhere, Microservices
- **Published:** September 14, 2026
- **Apply:** https://www.dice.com/job-detail/c9ad5093-5baf-4d3b-a4fd-f3a10dfd6392

## About the Role

* Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
 * 5+ years of professional software engineering experience.
 * 5+ years of Python development experience.
 * 5+ years building microservices-based applications.
 * 5+ years developing and integrating APIs.
 * 5+ years working with MongoDB or similar NoSQL databases.
 * Experience building scalable distributed systems in production environments.
 * Strong understanding of software architecture, performance optimization, and reliability engineering.

Preferred Qualifications

 * 1-2+ years of experience developing Agentic AI or Generative AI solutions.
 * Experience working with Large Language Models (LLMs).
 * Experience designing AI orchestration and multi-agent systems.
 * Familiarity with vector databases, embeddings, and semantic retrieval.
 * Experience implementing AI governance, guardrails, and responsible AI controls.
 * Cloud platform experience (Google Cloud Platform, AWS, or Azure).
 * Experience delivering solutions within regulated or highly governed environments.
 * Financial services experience is a plus but not required.

Technical Skills
Backend Engineering

 * Python
 * FastAPI
 * AsyncIO
 * Multiprocessing
 * REST APIs
 * Microservices Architecture
 * Distributed Systems
 * Event-Driven Architecture
 * Performance Tuning
 * High Availability Design
 * Fault-Tolerant Systems
 * Caching Strategies
 * Database Optimization

Generative AI & Agentic AI

 * Large Language Models (LLMs)
 * Agentic AI Frameworks
 * Multi-Agent Systems
 * Prompt Engineering
 * Prompt Orchestration
 * Tool Calling
 * LLM Routing and Fallback Strategies
 * Model Evaluation Frameworks
 * Human-in-the-Loop Validation
 * Hallucination Detection
 * Text-to-SQL Solutions
 * Retrieval-Augmented Generation (RAG)
 * Hybrid RAG Architectures
 * Knowledge Graph Enhanced RAG

## Description

We are seeking a highly skilled Senior Software Engineer with deep expertise in Python and distributed systems to help design, build, and scale enterprise-grade Agentic AI applications.

This is a hands-on engineering role focused on developing AI agents, backend services, and orchestration frameworks that leverage Large Language Models (LLMs) to automate complex business workflows. You will work closely with software engineers, AI architects, and product stakeholders to bring innovative AI solutions from concept to production.

The ideal candidate combines strong software engineering fundamentals with practical experience building AI-powered applications and designing scalable, fault-tolerant systems.
What You'll Do

 * Design, build, and deploy production-grade Agentic AI solutions.
 * Develop intelligent AI agents that automate marketing and customer engagement workflows.
 * Create scalable Python-based microservices and backend platforms.
 * Build and integrate RESTful APIs and event-driven architectures.
 * Develop orchestration frameworks for multi-agent AI workflows.
 * Design retrieval and knowledge systems using vector databases and semantic search.
 * Implement AI guardrails, governance controls, monitoring, and observability solutions.
 * Optimize application performance, reliability, latency, and scalability.
 * Collaborate closely with engineers and architects during daily Agile development activities.
 * Support AI systems throughout the full software development lifecycle, from design through production deployment., * Enterprise AI Architecture
 * AI Workflow Orchestration
 * Responsible AI Controls
 * AI Guardrails
 * PII Redaction
 * Audit Logging
 * Model Monitoring
 * Latency, Cost, and Accuracy Optimization

Data & Search Technologies

 * MongoDB
 * Vector Databases
 * Embeddings
 * Semantic Search
 * Re-Ranking
 * Knowledge Retrieval Systems
 * Kafka
 * Streaming Data Pipelines


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