Senior Python Developer / GenAI Specialist

Senior Python Developer

Key Responsibilities:

• AI and Machine Learning Model Design:

  Lead the design, development, and optimization of

  Batch LLM (Large Language Models)

  and GenAI-driven applications, ensuring performance, scalability, and robustness.

• Prompt Engineering:

  Develop and refine

  AI prompt flows

  to enhance the effectiveness and accuracy of LLMs, OpenAI models, and other AI-driven systems.

• Python Development:

  Write clean, efficient, and maintainable Python code for AI, data processing, and backend services.

• REST API Development:

  Design, develop, and integrate REST APIs to interact with AI models and third-party systems.

• Database Management:

  Work with SQL databases to manage and query data for AI systems and applications.

• Version Control & CI/CD:

  Utilize

  Git

  for version control and

  CI/CD pipelines

  for automated deployment processes.

• Collaboration:

  Work closely with cross-functional teams, including data scientists, engineers, and product managers, to design and deploy AI-powered solutions.

• Documentation:

  Create clear, detailed documentation for code, model workflows, and system architecture.

Skills and Qualifications:

• Required Skills:

• Python:

  Proficient in Python programming for AI model development, data analysis, and backend services.

• SQL:

  Strong knowledge of SQL for querying, managing, and manipulating data.

• GenAI Prompting:

  In-depth experience in designing and optimizing

  prompts

  for GenAI applications, particularly in the context of LLMs (e.g., OpenAI).

• REST API:

  Experience in building and consuming REST APIs for seamless integration between AI models and other systems.

• Pandas:

  Expertise in using Pandas for data manipulation, analysis, and processing in AI workflows.

• Batch LLM Design:

  Hands-on experience in designing and deploying

  batch processing

  workflows for large-scale LLMs.

• Git & CI/CD:

  Strong experience with version control using

  Git

  and continuous integration/deployment (CI/CD) practices.

• Communication:

  Excellent verbal and written communication skills to effectively communicate with both technical and non-technical stakeholders.

• Good to Have:

• Prompt Flow:

  Knowledge of designing efficient

  prompt flow

  systems for complex AI tasks.

• Langchain:

  Familiarity with

  Langchain

  or similar frameworks for building end-to-end AI systems, particularly with LLMs.

Desired Experience:

• 812 years

  of hands-on experience in Python development, with a focus on AI/ML and GenAI technologies.
• Proven experience with

  LLMs

  ,

  prompt engineering

  , and related technologies, such as OpenAI, Langchain, etc.
• A track record of deploying AI-driven systems and solutions at scale.
• Strong problem-solving abilities and experience in debugging complex systems.