AI Engineer

System Soft
4 days ago

Role details

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

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Computer Programming
Databases
DevOps
JSON
Python
PostgreSQL
Machine Learning
MongoDB
Natural Language Processing
Systems Development Life Cycle
Search Technologies
Software Engineering
YAML
Google Cloud Platform
Flask
Large Language Models
Multi-Agent Systems
Prompt Engineering
Model Validation
Generative AI
FastAPI
AI Platforms
HuggingFace
REST
GPT
Docker

Job description

We are seeking a highly skilled AI Engineer with strong experience in Generative AI, Large Language Models (LLMs), and modern AI application development. The ideal candidate will design, develop, deploy, and optimize AI-powered solutions using cutting-edge Gen AI technologies such as OpenAI, LangChain, vector databases, and cloud AI platforms. The role requires expertise in machine learning, prompt engineering, AI orchestration frameworks, and scalable AI system development.

Requirements

Generative AI & LLMs

  • Experience with LLMs such as GPT, Llama, Claude, Gemini, or Mistral
  • Prompt Engineering
  • RAG Architecture
  • AI Agents & Autonomous Workflows
  • Fine-tuning and model optimization
  • Token management and context handling

AI/ML Technologies

  • Machine Learning and Deep Learning concepts
  • NLP (Natural Language Processing)
  • Transformer architectures
  • Embeddings and semantic search
  • Model evaluation and monitoring

Programming

  • Python
  • REST APIs
  • FastAPI / Flask
  • JSON, YAML

Gen AI Frameworks & Tools

  • LangChain
  • LlamaIndex
  • Hugging Face
  • OpenAI APIs
  • Semantic Kernel
  • CrewAI / AutoGen (preferred)

Databases & Vector Stores

  • Pinecone
  • ChromaDB
  • FAISS
  • Weaviate
  • PostgreSQL / MongoDB

Cloud & DevOps

  • AWS / Azure / Google Cloud Platform AI services
  • Docker & Kubernetes
  • CI/CD pipelines
  • Git/GitHub

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