AI Engineer

Jobaaj Com

United States

Remote

USD 90,000 - 150,000

Full time

31 hours ago
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Job summary

Jobaaj Com is hiring an AI Engineer to design and deploy AI-powered applications using LLMs and Generative AI. You will build RAG pipelines, chatbots, and AI agents, and optimize models for business use cases.

The role involves collaborating with data scientists and engineers to deliver AI-driven features, focusing on performance, latency, and cost efficiency in production systems.

Qualifications

  • 0–2 years of AI/ML engineering or software development.

Responsibilities

  • Design, develop, and deploy AI/ML models and applications into production.

Skills

AI/ML engineering
Python
LLM frameworks
LLM APIs
Prompt engineering
RAG architectures
API development
Vector databases
ML frameworks
Cloud platforms
Communication

Education

Bachelor's/Master's in CS/AI/Data Science

Tools

LangChain
LlamaIndex
Hugging Face
OpenAI API

Job description

We are hiring an AI Engineer on behalf of our client. This role involves designing, building, and deploying AI-powered applications and systems, including those leveraging large language models (LLMs) and generative AI. It's a great opportunity for someone passionate about applied AI who enjoys building real-world products that leverage the latest advancements in artificial intelligence.


Role & responsibilities
  • Design, develop, and deploy AI/ML models and applications into production
  • Build and integrate solutions using LLMs (GPT, Claude, Llama, etc.) and Generative AI frameworks
  • Develop RAG (Retrieval-Augmented Generation) pipelines, chatbots, and AI agents
  • Fine-tune and optimize pre-trained models for specific business use cases
  • Design and implement prompt engineering strategies for optimal model performance
  • Build APIs and microservices to integrate AI capabilities into products
  • Work with vector databases and embedding models for semantic search applications
  • Collaborate with data scientists, engineers, and product teams to define AI-driven features
  • Monitor and improve model performance, latency, and cost efficiency
Preferred candidate profile
  • 0 to 2 years of experience in AI/ML engineering or software development
  • Bachelor's/Master's degree in Computer Science, AI, Data Science, or related field
  • Strong programming skills in Python (experience with Java/JavaScript a plus)
  • Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Hugging Face)
  • Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.)
  • Understanding of prompt engineering, fine-tuning, and RAG architectures
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS, ChromaDB)
  • Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS/GCP/Azure)
  • Knowledge of API development (REST/GraphQL) and microservices architecture
  • Strong problem-solving skills and ability to work in a fast-paced, evolving environment
  • Good communication skills and ability to collaborate across teams
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