AI ENGINEER IV

TABNER INC
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

JavaScript
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Databases
Database Queries
Programming Tools
Github
Python
Systems Development Life Cycle
Software Engineering
System Testing
TypeScript
Reinforcement Learning
Google Cloud Platform
Flask
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
FastAPI
Containerization
AI Platforms
Kubernetes
Virtual Agents
Api Design
Docker
Programming Languages

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, 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, * 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

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