Date Posted: 09/29/2026
Hiring Organization: Rose International
Position Number: 508367
Job Title: Senior Agentic AI Developer Python, LangGraph LLM
Job Location: Saint Louis, MO, USA, 63180
Work Model: Onsite
Shift: Standard business hours
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 65.00
Max Hourly Rate($): 70.00
Must Have Skills/Attributes: AWS, IAM, JSON, PostgreSQL, Python
Experience Desired:
Software development with strong Python expertise in production environments (10+ yrs),
Hands-on LLM development (LangChain, LangGraph, or equivalent frameworks) (2+ yrs),
RAG pipeline experience - embeddings, vector search, re-ranking, answer generation (5+ yrs),
LLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling (5+ yrs),
Prompt engineering - system prompts, few-shot, structured JSON output (5+ yrs)
Job Description
Required Skills, Experience, & Abilities:
Required Experience:
- 10+ years of software development with strong Python expertise in production environments
- 2+ years hands-on LLM development (LangChain, LangGraph, or equivalent frameworks)
- RAG pipeline experience - embeddings, vector search, re-ranking, answer generation
- LLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling
- Async Python - asyncio, httpx, FastAPI
- Prompt engineering - system prompts, few-shot, structured JSON output
- Circuit breaker patterns, retry logic, resilient service design
- PostgreSQL and async ORMs (SQLAlchemy async / Alembic)
- Git, CI/CD, Docker, Kubernetes basics
- Strong system design skills - microservices, distributed systems, API design
Preferred experience:
- LangGraph StateGraph (conditional edges, node pipelines, compiled graphs)
- Multi-agent systems - orchestration, routing, RBAC-based access control
- Langfuse or similar LLM observability (tracing, token usage, latency)
- WebSocket and SSE streaming protocols
- Multi-modal AI (vision models, image analysis)
- Vector databases (OpenSearch, Pinecone, pgvector)
- AWS services (Aurora PostgreSQL, SSM, IAM, EKS)
- Telecommunications or field service domain experience
Tech Stack
Category Technologies
Language Python 3.11+
Frameworks FastAPI, LangChain, LangGraph
LLM APIs Azure OpenAI (GPT-4)
Databases PostgreSQL (Aurora), OpenSearch (vector)
Messaging WebSocket, SSE, REST
Observability Langfuse, Datadog, Splunk
Infrastructure Docker, Kubernetes (EKS), AWS
CI/CD GitLab CI, Helm, ArgoCD
Package Mgmt uv (Python), pyproject.toml
Testing pytest, unittest, FastAPI TestClient
Key Responsibilities
- Design and develop LLM-powered agents using LangGraph and LangChain frameworks
- Build and enhance multi-agent orchestration pipelines with conditional routing, state management, and error recovery
- Develop RAG pipelines with hybrid search (semantic + keyword), re-ranking, and Reciprocal Rank Fusion
- Implement tool-calling agents with parallel API execution, sequential enrichment chains, and summarization
- Build real-time streaming capabilities (WebSocket / SSE) for conversational AI
- Integrate with Azure OpenAI APIs with circuit breaker patterns and fallback chains
- Implement prompt engineering and dynamic prompt management (DB-backed with in-memory caching)
- Design and implement multi-modal AI features (image analysis with vision models)
- Write production-quality Python code with error handling, logging, observability, and unit tests
- Participate in code reviews, architecture discussions, and sprint delivery
Job Overview:
We are looking for a skilled AI/ML Developer to join our agentic platform team on a contractual basis. You will design, develop, and deploy LLM-powered agents and pipelines that directly serve field technicians in production. You will work closely with the platform architect and contribute to the core multi-agent orchestration system. - **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
My on-boarding with Rose was outstanding. The packets of information, the process, and great attention to detail each person gave me allowed me to get started quickly.I appreciated each person's friendly and helpful attitude.
Diana, Consultant
You are customer service oriented. No matter whether it was the Recruiter or someone in Human Resources/Payroll, you were responsive. That to me is key!
Tonya, Consultant
Rose is an assembly of people grounded in honesty, truth and dignity for all of its employees and contractors.
Samba, Consultant
I am very happy with the Rose International, and the professionalism of the employees.
Robin, Consultant
Rose International has been great to me. I thank everyone there for all of their hard work; it has not gone unnoticed.
Melody, Consultant
EMPLOYEE COMMENTS