Role: Senior Agentic AI Developer
Location: Remote
Schedule: EST Hours
Rate: $85/hour W2

We are seeking a Senior Agentic AI Developer to design, build, and deploy enterprise-grade AI agents and intelligent automation solutions. This role will focus on developing agentic AI applications, Retrieval-Augmented Generation (RAG) systems, LLM-powered workflows, and scalable AI platforms using Python and modern AI frameworks.
The ideal candidate has hands-on experience building production AI systems, integrating Large Language Models (LLMs), orchestrating multi-agent workflows, and deploying cloud-native applications that support real-world business processes.

Responsibilities

Design, develop, and deploy agentic AI applications using modern LLM frameworks and orchestration platforms.
Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data sources, vector databases, and semantic search technologies.
Develop AI agents capable of tool calling, workflow automation, reasoning, and decision support.
Create scalable APIs and backend services to support AI-enabled products and applications.
Design and implement document ingestion, knowledge retrieval, embedding generation, and context management pipelines.
Collaborate with product, engineering, and business teams to identify and deliver AI-driven solutions.
Evaluate, test, and optimize LLM performance, response quality, latency, and reliability.
Implement monitoring, observability, security, and governance controls for enterprise AI systems.
Participate in architecture discussions, proof-of-concept development, and technical design reviews.
Create and maintain technical documentation, implementation plans, and best practices for AI development.

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
5+ years of software development experience with strong proficiency in Python.
Experience building and deploying Generative AI, LLM, or Agentic AI solutions in production environments.
Experience developing RAG architectures and integrating vector databases.
Strong understanding of prompt engineering, embeddings, semantic search, and LLM evaluation techniques.
Experience building APIs and microservices using Python frameworks such as FastAPI.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with containerization and deployment technologies including Docker and Kubernetes.
Strong troubleshooting, debugging, and problem-solving skills.

Preferred Qualifications

Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar agent orchestration frameworks.
Experience integrating AI agents with enterprise systems, databases, APIs, and workflow platforms.
Familiarity with OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, or other enterprise LLM platforms.
Experience with MLOps, LLMOps, and AI governance practices.
Experience developing multi-agent systems and autonomous workflow solutions.
Exposure to Go or other backend programming languages.

Technical Environment

Python
FastAPI
LangChain / LangGraph
OpenAI, Claude, Azure OpenAI, Amazon Bedrock
Retrieval-Augmented Generation (RAG)
Vector Databases
Docker & Kubernetes
AWS / Azure / GCP
REST APIs & Microservices
Git, CI/CD Pipelines
LLMOps & Monitoring Frameworks

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Senior Agentic AI Developer

Key skills

About this role