Gen AI Developer

About the Role:

GenAI Developer

AI agents

Key Responsibilities:

• AI Model Development:

  Design, develop, and fine-tune

  AI models

  using

  OpenAI LLMs

  ,

  Hugging Face Transformers

  , and

  advanced NLP techniques

  (e.g.,

  prompt engineering

  ,

  reinforcement learning from human feedback (RLHF)

  ).

• Cloud Integration:

  Develop, deploy, and optimize AI solutions on cloud platforms (

  AWS

  ,

  GCP

  ,

  Azure

  ) ensuring

  scalability

  ,

  reliability

  , and

  performance

  .

• API Development & Integration:

  Build and maintain

  APIs

  to integrate AI solutions with CRM platforms and third-party applications. Ensure seamless integration of AI agents into customer-facing systems.

• Model Interpretability & Transparency:

  Apply

  model interpretability tools

  to ensure transparency and ethical AI practices, and help explain AI model decisions to both technical and non-technical stakeholders.

• Continuous Learning & Optimization:

  Stay updated on the latest

  advancements in LLMs

  ,

  AI agents

  , and

  Generative AI (GenAI)

  technologies. Continuously optimize the performance of AI models, focusing on accuracy, efficiency, and business needs.

• Collaboration & Innovation:

  Work closely with cross-functional teams to design innovative AI-driven features. Contribute to architecture decisions and AI system enhancements. Apply

  Agile development

  practices to ensure timely delivery.

Candidate Profile:

• Education:

  A

  Bachelor’s degree

  in

  Computer Science

  ,

  Artificial Intelligence

  ,

  Information Technology

  , or a related technical field.

• Experience:

  2 to 4 years of professional experience in

  AI development

  , with a strong focus on

  LLMs

  ,

  NLP

  ,

  Python

  , and

  cloud platforms

  . Proven experience with

  model fine-tuning

  ,

  API development

  , and

  cloud integration

  is essential.

• Skills Required:

• Proficiency in

  Python

  with experience in

  Django

  or other web frameworks.
• Strong understanding of

  NLP

  techniques, including

  prompt engineering

  and

  reinforcement learning

  .
• Hands-on experience with

  Hugging Face Transformers

  and

  OpenAI models

  (GPT, etc.).
• Strong experience with

  cloud platforms

  (

  AWS

  ,

  GCP

  ,

  Azure

  ) for deploying AI solutions.
• Familiarity with

  version control systems

  (GitHub, Git).
• Experience developing and consuming

  RESTful APIs

  for seamless third-party integrations.
• Familiarity with

  database technologies

  (e.g.,

  PostgreSQL

  ,

  MySQL

  ,

  MongoDB

  ) and

  GraphQL

  is a plus.

• Preferred Skills:

• Knowledge of

  Generative AI (GenAI)

  frameworks (e.g.,

  Azure OpenAI

  ,

  DALL•E

  ).
• Experience with

  RAG (retrieval-augmented generation)

  techniques for improving model performance.
• Familiarity with tools like

  Jupyter Notebooks

  ,

  Streamlit

  , and

  Flask

  for rapid prototyping.
• Experience with

  ethical AI practices

  and ensuring model transparency.