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Senior Techmobile Agentic Ai Developer

  • Senior Techmobile Agentic Ai Developer job type Posted on: Oct 22, 2026
  • Senior Techmobile Agentic Ai Developer experience level Akaasa Technologies
  • Senior Techmobile Agentic Ai Developer employment type St. Louis, Missouri
  • Senior Techmobile Agentic Ai Developer employment type Onsite
  • Senior Techmobile Agentic Ai Developer salary Full-time

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Job Title :

Senior Techmobile Agentic Ai Developer

Job Type :

Full-Time

Job Location :

St. Louis Missouri United States

Remote :

No

Jobcon Logo Job Description :

Senior TechMobile Agentic AI Developer

Location: St. Louis, MO - Onsite; local Only

Role Summary

Build and deploy production LLM-powered agents and AI pipelines that support field technicians.

Work with the platform architect on the core multi-agent orchestration system.

Key Responsibilities

- Develop LLM agents using LangChain and LangGraph.

- Build multi-agent orchestration with conditional routing, state management, and error recovery.

- Create RAG pipelines using hybrid semantic/keyword search, re-ranking, and Reciprocal Rank Fusion.

- Implement tool-calling agents, parallel API execution, enrichment chains, and summarization.

- Deliver real-time conversational streaming through WebSocket and SSE.

- Integrate Azure OpenAI with circuit breakers and fallback chains.

- Manage prompts dynamically with database-backed storage and in-memory caching.

- Build multimodal vision and image-analysis features.

- Write tested Python with logging, observability, and error handling.

Required Qualifications

- 10+ years of production software development with strong Python expertise.

- 2+ years of hands-on LLM development with LangChain, LangGraph, or equivalent.

- RAG, embeddings, vector search, re-ranking, and answer-generation experience.

- OpenAI APIs, streaming, and tool calling.- Async Python: asyncio, httpx, and FastAPI.

- Prompt engineering and structured JSON outputs.

- Resilient-service design, PostgreSQL, async SQLAlchemy, Alembic, Git, CI/CD, Docker, and Kubernetes fundamentals.

- Strong microservices, distributed-systems, and API-design skills.

- LangGraph StateGraph, multi-agent routing/RBAC, Langfuse, WebSocket/SSE, multimodal vision models, OpenSearch/Pinecone/pgvector, AWS Aurora/SSM/IAM/EKS, or telecom/field service experience

Technology Environment

Python 3.11, FastAPI, LangChain, LangGraph, Azure OpenAI/GPT-4, Aurora PostgreSQL, OpenSearch, WebSocket, SSE, Langfuse, Datadog, Splunk, Docker, Kubernetes/EKS, GitLab CI, Helm, ArgoCD, uv, and pytest

Jobcon Logo Position Details

Posted:

Oct 22, 2026

Reference Number:

33789-20508

Employment:

Full-time

City:

St. Louis

Job Origin:

CIEPAL_ORGANIC_FEED

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Senior TechMobile Agentic AI Developer

Location: St. Louis, MO - Onsite; local Only

Role Summary

Build and deploy production LLM-powered agents and AI pipelines that support field technicians.

Work with the platform architect on the core multi-agent orchestration system.

Key Responsibilities

- Develop LLM agents using LangChain and LangGraph.

- Build multi-agent orchestration with conditional routing, state management, and error recovery.

- Create RAG pipelines using hybrid semantic/keyword search, re-ranking, and Reciprocal Rank Fusion.

- Implement tool-calling agents, parallel API execution, enrichment chains, and summarization.

- Deliver real-time conversational streaming through WebSocket and SSE.

- Integrate Azure OpenAI with circuit breakers and fallback chains.

- Manage prompts dynamically with database-backed storage and in-memory caching.

- Build multimodal vision and image-analysis features.

- Write tested Python with logging, observability, and error handling.

Required Qualifications

- 10+ years of production software development with strong Python expertise.

- 2+ years of hands-on LLM development with LangChain, LangGraph, or equivalent.

- RAG, embeddings, vector search, re-ranking, and answer-generation experience.

- OpenAI APIs, streaming, and tool calling.- Async Python: asyncio, httpx, and FastAPI.

- Prompt engineering and structured JSON outputs.

- Resilient-service design, PostgreSQL, async SQLAlchemy, Alembic, Git, CI/CD, Docker, and Kubernetes fundamentals.

- Strong microservices, distributed-systems, and API-design skills.

- LangGraph StateGraph, multi-agent routing/RBAC, Langfuse, WebSocket/SSE, multimodal vision models, OpenSearch/Pinecone/pgvector, AWS Aurora/SSM/IAM/EKS, or telecom/field service experience

Technology Environment

Python 3.11, FastAPI, LangChain, LangGraph, Azure OpenAI/GPT-4, Aurora PostgreSQL, OpenSearch, WebSocket, SSE, Langfuse, Datadog, Splunk, Docker, Kubernetes/EKS, GitLab CI, Helm, ArgoCD, uv, and pytest

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