Hybrid
Mid Level
Full Time
Posted January 13, 2026
Tech Stack
python
langchain
langgraph
crewai
microsoft-azure
gemini
fastapi
flask
amazon-web-services
google-cloud-platform
platformai
faiss
docker
kubernetes
appcast
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TOPSYSIT, is seeking the following. Apply via Dice today!
**Job Title: Python Developer – GenAI & Agentic AI**
**Location:**
Alpharetta, GA
**Work Model:**
Hybrid (Onsite 2–3 days per week)
**Employment Type:**
**W2 Only**
**📌 Job Summary**
We are seeking an experienced
**Python Developer**
with strong expertise in
**Generative AI (GenAI)**
and
**Agentic AI frameworks**
to design, build, and deploy intelligent, autonomous AI-driven applications. The ideal candidate will have hands-on experience with LLMs, AI agents, orchestration frameworks, and enterprise-grade Python development, and must be able to work in a
**hybrid onsite model in Alpharetta, GA**
.
**🔍 Key Responsibilities**
- Design, develop, and deploy Python-based GenAI and Agentic AI solutions
- Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel
- Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.) into enterprise applications
- Implement RAG (Retrieval Augmented Generation) pipelines using vector databases
- Develop APIs and backend services using FastAPI / Flask
- Integrate AI solutions with enterprise systems, APIs, and data sources
- Optimize prompts, agent workflows, and model performance
- Ensure security, scalability, and compliance of AI applications
- Collaborate with data scientists, product owners, and DevOps teams
- Participate in Agile ceremonies and contribute to design discussions
**✅ Required Skills & Experience**
- 5+ years of professional Python development experience
- Strong hands-on experience with Generative AI (GenAI) solutions
- Experience building Agentic AI / Autonomous Agents
- Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks
- Experience with LLMs and APIs (OpenAI, Azure OpenAI, Anthropic, Google Gemini)
- Strong understanding of RAG architectures, embeddings, and vector databases
- Experience with FastAPI or Flask for backend/API development
- Experience with SQL and/or NoSQL databases
- Familiarity with Git, CI/CD pipelines, and Agile development
- Strong communication and problem-solving skills
**🎯 Preferred / Nice-to-Have Skills**
- Experience with AWS, Azure, or Google Cloud Platform AI services
- Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma)
- Experience with Docker and Kubernetes
- Knowledge of MLOps / LLMOps practices
- Experience in financial services or enterprise environments