What are the responsibilities and job description for the AI ENGINEER IV position at Tabner Inc?
Required Experience & Skills
Core Requirements
- 8 years of application development, systems testing, or related experience
- 3–6 years of hands-on experience in AI/ML or related fields
- Deep hands-on Python development experience
- Strong understanding of end-to-end RAG pipeline architecture and implementation
- Proven experience delivering Generative AI solutions from concept to production
- Experience with autonomoagentic AI systems including:
- Reasoning
- Planning
- Tool usage
- Strong problem-solving and analytical skills
- Ability to work in fast-paced, collaborative environments
Required Technologies
Programming Languages
- Python
- JavaScript / TypeScript
AI Frameworks & Libraries
- LangChain
- LangGraph
- Deep Agents
- Claude Skills
- Similar AI orchestration frameworks
AI Models & Concepts
- Claude
- OpenAI models
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Agentic AI concepts
Infrastructure & DevOps
- AWS (preferred)
- Docker
- Kubernetes
- CI/CD pipelines
- GitHub and distributed SDLC tooling
- Container platforms
- Cloud platforms
- Document databases
Development & Integration
- API design
- Testing frameworks
- VS Code and developer tooling
Nice-to-Have Qualifications
- FastAPI or Flask development experience
- SQL proficiency
- Experience with:
- AutoGen
- Model Context Protocol (MCP)
- Chain-of-Thought prompting
- Embeddings and knowledge stores
- Experience building autonomous agents with cloud AI services
- Prompt engineering and model fine-tuning expertise
- Understanding of:
- Reinforcement learning
- Planning algorithms
- Multi-agent systems
- Experience deploying AI solutions across AWS, Azure, or Google Cloud Platform