Hi,
Greetings From Skysoft!
Job Description: Agentic AI: Python / TypeScript / Java
Location: Columbus. OH(PL)// Plano TX (Onsite (SL)
Experience: 8+ Years
Employment Type: Contract / Full-Time
Job Summary
We are seeking an experienced Agentic AI Engineer to design, develop, and deploy intelligent AI agents and agentic workflows using Python, TypeScript, and/or Java. The ideal candidate will have strong software engineering experience combined with hands-on expertise in Generative AI, LLMs, AI agents, RAG, tool calling, and multi-agent architectures.
The candidate will work closely with engineering, product, and data teams to build scalable AI-powered applications that can reason, plan, use tools, retrieve information, and autonomously execute business workflows.
Key Responsibilities
· Design and develop AI agents and multi-agent systems using LLMs and modern agentic AI frameworks.
· Build production-grade AI applications using Python, TypeScript, or Java.
· Develop agentic workflows involving planning, reasoning, tool/function calling, memory, and task execution.
· Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, or other foundation models.
· Build Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
· Develop integrations with APIs, databases, enterprise applications, and external tools that AI agents can invoke.
· Implement prompt engineering, structured outputs, context management, and LLM evaluation strategies.
· Work with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
· Design scalable APIs and backend services using FastAPI, Flask, Spring Boot, Node.js, or similar frameworks.
· Implement agent memory, state management, guardrails, human-in-the-loop workflows, and error handling.
· Develop automated testing and evaluation frameworks for AI agents, including accuracy, latency, reliability, and hallucination monitoring.
· Deploy AI solutions using AWS, Azure, or GCP and container technologies such as Docker and Kubernetes.
· Collaborate with architects, developers, data scientists, and business stakeholders to identify and implement AI use cases.
· Ensure AI applications meet enterprise requirements for security, privacy, governance, observability, and scalability.
Required Skills
· 8+ years of software development experience.
· Strong hands-on experience with at least one of:
- Python
- TypeScript
- Java
· Strong understanding of Generative AI, Large Language Models (LLMs), and Agentic AI.
· Hands-on experience developing AI agents, autonomous workflows, or multi-agent systems.
· Experience with LLM APIs, prompt engineering, function/tool calling, structured outputs, and context management.
· Strong experience with RAG architectures, embeddings, and vector databases.