Epicareer Might not Working Properly
Learn More

AI/Python Software Engineer

Salary undisclosed

Apply on


Original
Simplified

MUST HAVES:

  • 4+ years of experience in ADVANCED Python application development
  • 2+ years of experience working on Generative AI and Agentic Workflows, preferably with generative AI technologies, including LangChain and Langraph
  • 5+ years of experience deploying and managing cloud-based applications highly preferred in AWS (AWS certifications preferred as well)


Duties:

  • Develop and maintain high-quality Python applications, focusing on advanced concepts such as Gang of Four design patterns, asynchronous programming, and decorators.
  • Design and implement system integrations between databases and APIs, ensuring robust transaction management, failure handling, validation, and retries.
  • Work with generative AI technologies, including LangChain and Langraph, to build and optimize agentic workflows (AI agents, particularly large language models (LLMs), to perform complex tasks)
  • Implement and manage Retrieval-Augmented Generation (RAG) systems, utilizing vector databases for efficient data retrieval.
  • Collaborate with cross-functional teams to deliver scalable and reliable solutions on cloud platforms, with a preference for AWS.



Skills:

  • Advanced Python: At least 4+ years of experience in Python application development, with a strong grasp of advanced programming concepts and design patterns.
  • Generative AI and Agentic Workflows: Intermediate experience with generative AI technologies, including LangChain and Langraph, and a solid understanding of agentic workflows.
  • RAG and Vector Databases: Practical experience with Retrieval-Augmented Generation (RAG) and working knowledge of vector databases.
  • Cloud Expertise: Demonstrated excellence in one of the top three cloud platforms (AWS preferred), with hands-on experience in deploying and managing cloud-based applications.
  • System Integration: Proven experience in integrating systems across databases and APIs, both within cloud services and on-premises environments.


Education:

  • Computer Science Degree or Equivalent Skills and Experience



Required Skills:

  • Machine Learning
  • Python
  • AWS


Additional Skills:

  • REDIS
  • API
  • MONGODB
  • AMAZON
  • DYNAMODB


Languages:

  • English - Read / Write / Speak


Minimum Degree Required:

  • Bachelor's Degree


Certifications & Licenses:

  • Proficiency in cloud engineering, preferably with AWS experience
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job