Senior Tech Mobile Agentic AI Developer
Salesforce
Role Summary 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. 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 Required Skills & Experience Must-Have - 10+ years of software development with strong Python expertise in production environments
- 2+ years of 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, 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 Nice-to-Have - 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
TechMobile Agentic AI Platform | Charter Communications 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
TechMobile Agentic AI Platform | Charter Communications
- 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 Required Skills & Experience Must-Have - 10+ years of software development with strong Python expertise in production environments
- 2+ years of 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, 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 Nice-to-Have - 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
TechMobile Agentic AI Platform | Charter Communications 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
TechMobile Agentic AI Platform | Charter Communications
Vacancy posted 1 day ago
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