Senior Tech Mobile Agentic AI Developer
Zenith Algorithms
- Location
- St. Louis, MO, US
- Track
- AI Agent Engineer
- Level
- Senior
- Salary
- $125K–$135K / yr
- Posted
- September 30, 2026
- Source
- Indeed
Job description
Core Technical Must-Haves
- 10+ years of software development experience with strong Python expertise in production environments
- 2+ years hands-on LLM development using LangChain, LangGraph, or equivalent frameworks
- Hands-on RAG pipeline experience (embeddings, vector search, re-ranking, answer generation)
- Experience with LLM APIs (OpenAI Chat Completions / Responses API, streaming, tool calling)
- Strong async Python skills (asyncio, httpx, FastAPI)
- Prompt engineering experience (system prompts, few-shot, structured JSON output)
- Experience with resilient design patterns (circuit breakers, retry logic, fallback chains)
- PostgreSQL + async ORMs (SQLAlchemy async / Alembic)
- Git, CI/CD, Docker, and Kubernetes basics
- Strong system design skills (microservices, distributed systems, API design)
. Key Role Responsibilities Fit
- Experience designing & developing LLM-powered agents and multi-agent orchestration pipelines (conditional routing, state management, error recovery)
- Built real-time streaming capabilities (WebSocket / SSE) for conversational AI
- Implemented tool-calling agents (parallel API execution, sequential enrichment, summarization)
- Experience with multi-modal AI features (vision models / image analysis) is a plus
- Writes production-quality Python code (error handling, logging, observability, unit tests)
- Comfortable participating in code reviews, architecture discussions, and sprint delivery
. Nice-to-Have Skills (strong differentiators)
- Deep LangGraph experience (StateGraph, conditional edges, node pipelines, compiled graphs)
- Multi-agent systems (orchestration, routing, RBAC-based access control)
- LLM observability tools (Langfuse or similar – 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 Alignment
- Python 3.11+
- FastAPI, LangChain, LangGraph
- Azure OpenAI (GPT-4)
- PostgreSQL (Aurora), OpenSearch (vector)
- WebSocket, SSE, REST
- Observability: Langfuse, Datadog, Splunk
- Docker, Kubernetes (EKS), AWS
- GitLab CI, Helm, ArgoCD
- pytest / unittest
. Soft Skills & Delivery Style
- Hands-on production developer (not just prototyping)
- Ability to work closely with platform architect on core multi-agent orchestration
- Experience building systems that serve real users at scale (this platform handles 40,000+ daily interactions)
Pay: $60.00 - $65.00 per hour
Work Location: In person