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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python AI Engineer - Agentic AI - **Company:** PTR Global - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $156,000.0 - $166,400.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Databases, Distributed Systems, Fault Tolerance, Graph Database, Python (Programming Language), MongoDB, Multiprocessing, Performance Tuning, Query Optimization, Recommender Systems, Service Development Studio, Software Engineering, SQL Databases, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Caching, Generative AI, Backend, Fastapi, Event Driven Architecture, AI Platforms, Low Latency, Virtual Agents, Api Design, Restful APIs, Microservices - **Published:** September 28, 2026 - **Apply:** https://www.dice.com/job-detail/886ae772-261c-4d1a-8773-686c290eedf4 ## About the Role Strong backend Python developer with experience building and supporting microservices-based applications. Experience designing and consuming APIs. Familiarity with Large Language Models (LLMs), Agentic AI frameworks, and AI orchestration concepts. Experience working with MongoDB and vector databases. Financial services experience is not required., Python: 5+ years Microservices: 5+ years API Development/Integration: 5+ years MongoDB: 5+ years Agentic AI: 2+ years preferred, Python software engineering REST API development Microservices architecture Distributed systems design Backend service development FastAPI AsyncIO Multiprocessing Performance tuning and profiling Caching strategies Database/query optimization Event-driven architecture High-availability and fault-tolerant system design Generative AI / LLM Skills Generative AI application development Large Language Models Agentic AI systems Multi-agent workflow design Retrieval-Augmented Generation Hybrid RAG architectures Knowledge graph-enhanced RAG Prompt engineering Prompt orchestration Tool calling LLM routing and fallback strategies Fine-tuning evaluation Model evaluation frameworks Hallucination detection Human-in-the-loop validation Text-to-SQL using LLMs Schema-aware prompting Embeddings and semantic search AI Platform & Architecture Skills Enterprise AI platform architecture Scalable AI workflow design AI governance standards AI guardrails implementation Responsible AI controls PII redaction Audit logging Model usage monitoring Latency, cost, and accuracy optimization AI/ML feature engineering Recommendation systems Feedback loops for model improvement ## Description Since launching in March, the team has successfully built 6 AI agents and is now entering the next phase of scaling and enhancement. The first production agents are scheduled to go live on August 24th. Long-term roadmap is expected to expand to 20+ AI agents. This is one of the bank's first major Agentic AI initiatives and is considered a highly visible, strategic program., Resources will primarily be building, enhancing, and supporting AI agents rather than spending significant time in meetings. Daily collaboration occurs through team standups and close interaction with developers and architects. Candidates should be comfortable communicating technical needs and blockers, though executive-facing responsibilities are minimal., * Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. * Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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