AI Engineer

10 hours ago

Lahore, Punjab, Pakistan Greetly AI Full time

Job Title:
AI Engineer

Experience Level:
2–3 Years

Location:
Remote

Employment Type:
Full-time

About the Role

We are seeking an AI Engineer with 2–3 years of hands-on industry experience. The ideal candidate will have strong proficiency in Python, experience with modern AI frameworks, and a solid understanding of cloud-based AI infrastructure. You will build, deploy, and maintain intelligent applications leveraging AWS services and vector databases.

Key Responsibilities

  1. Design, develop, and deploy AI applications using
    LangChain
    and
    LangGraph
    .
  2. Implement and optimize APIs using
    FastAPI
    in Python.
  3. Integrate and manage vector databases such as
    Pinecone
    ,
    PostgreSQL
    , and
    MariaDB
    .
  4. Develop and maintain data pipelines and AI workflows using
    AWS
    services, including
    SageMaker
    ,
    Bedrock
    ,
    RDS
    , and
    EC2
    .
  5. Configure load balancers, auto-scaling, and secure environments for model deployment.
  6. Collaborate with data scientists, backend developers, and DevOps engineers to ensure efficient AI operations.
  7. Monitor, evaluate, and improve AI models and infrastructure performance.

Required Skills and Qualifications

  1. Bachelor's degree in Computer Science, AI, Data Engineering, or related field.
  2. 2–3 years of professional experience in AI or ML engineering.
  3. Strong programming skills in
    Python
    and experience with
    FastAPI
    .
  4. Proficiency with
    LangChain
    and
    LangGraph
    .
  5. Experience deploying AI applications on
    AWS
    , especially with
    SageMaker
    ,
    Bedrock
    ,
    RDS
    , and
    EC2
    .
  6. Knowledge of vector databases such as
    Pinecone
    ,
    PostgreSQL
    , or
    MariaDB
    .
  7. Familiarity with API design, CI/CD, and cloud security principles.

Preferred Skills

  1. Experience with containerization (Docker, ECS, or Kubernetes).
  2. Understanding of retrieval-augmented generation (RAG) and LLM deployment.
  3. Basic front-end integration understanding for AI-driven applications.

What We Offer

  1. Competitive compensation and benefits.
  2. Opportunities to work on cutting-edge AI systems.
  3. Collaborative and growth-oriented environment.

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