S
Full-time Posted 3 days ago

Responsibilities

  • check_circle Design, build, and deploy AI and machine learning models for production environments.
  • check_circle Develop applications powered by large language models (LLMs) using modern AI frameworks.
  • check_circle Build and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents.
  • check_circle Integrate AI models with APIs, databases, and third-party platforms.
  • check_circle Fine-tune, evaluate, and monitor AI models for performance, accuracy, and reliability.
  • check_circle Develop scalable backend services to support AI applications.
  • check_circle Collaborate with product managers, designers, and software engineers to deliver AI-driven features.
  • check_circle Implement prompt engineering techniques and optimize AI workflows.
  • check_circle Ensure AI solutions meet security, privacy, and ethical AI standards.
  • check_circle Stay current with emerging AI technologies and recommend improvements.

Basic qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field (or equivalent practical experience).
  • 3+ years of software development experience.
  • 2+ years of hands-on experience with machine learning or generative AI.
  • Proficiency in Python.
  • Experience with AI frameworks such as LangChain, LlamaIndex, or similar.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Knowledge of LLM APIs (OpenAI, Anthropic, Google Gemini, or similar).
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
  • Familiarity with REST APIs, Git, Docker, and cloud platforms (AWS, Azure, or Google Cloud).
  • Strong problem-solving and communication skills.

Preferred qualifications

  • Experience deploying AI applications in production.
  • Knowledge of MLOps tools and CI/CD pipelines.
  • Experience with Kubernetes and container orchestration.
  • Familiarity with SQL and NoSQL databases.
  • Experience with data engineering or ETL pipelines.
  • Knowledge of AI evaluation frameworks and model monitoring.
  • Experience building AI chatbots, copilots, or autonomous agents.
  • Can Join Immediately
  • Python: 2 years (Required)
  • AI Software Engineer: 2 years (Required)

Tags & Focus Areas

Fulltime Ai Ai Engineer Machine Learning Generative Ai

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