Junior AI Engineer

1 month ago

Dallas, United States Programmers.io Full time

Job Title: Junior AI Engineer

Location: Dallas / Hybrid


Job Summary:


We are seeking a Junior AI Engineer to assist in the development, fine-tuning, and deployment of AI models, particularly LLM-based solutions. You will work with senior engineers to implement machine learning algorithms, build Retrieval-Augmented Generation (RAG) pipelines, and develop AI-powered systems such as chatbots. The ideal candidate will have a background in machine learning, LLM API integration, and proficiency in Python. This role requires a passion for AI, problem-solving, and working in a collaborative environment.


Key Responsibilities:


1. Model Development & Fine-Tuning:

  • Assist in fine-tuning Large Language Models (LLMs) and building RAG pipelines.
  • Implement Langchain framework and OpenAI API functions for integrating LLM models.
  • Apply SAFE AI principles when working with AI models.

2. AI-Powered Application Development:

  • Develop and maintain AI-driven applications such as chatbots, particularly for generating personalized outputs.
  • Design conversational flows that interact with backend systems, gather user requirements, and provide relevant outputs.
  • Implement long-term memory features in chatbots and store chat history in MongoDB or Vector DB for better user experience.

3. Web & API Development:

  • Support the creation of backend services and API endpoints using Flask.
  • Work on frontend and backend development using Next.js, ensuring smooth integration with LLMs.
  • Manage session and user management for AI-powered applications.

4. Data Processing & Analysis:

  • Assist in processing large datasets for model training, cleaning, and transforming data using Pandas, NumPy, and distributed computing frameworks.
  • Monitor and retrain deployed models to improve performance based on user feedback and new Requirements.

5. Deployment & Maintenance:

  • Deploy AI applications and chatbots using platforms like Vercel.
  • Continuously improve AI systems based on feedback and maintain updated pipelines.

6. Collaboration & Documentation:

  • Work with senior engineers and stakeholders to design and implement AI solutions.
  • Document model architecture, workflows, and system processes.


Qualifications:

· Education: Bachelor’s/Master degree in Computer Science, AI, Data Science, or a related field.


· Experience:

  • 2 to 4 years of experience in machine learning or AI development.
  • Experience with LLM models, RAG pipelines, and Langchain framework.
  • Proficiency in Python programming.
  • Familiarity with frontend/backend development using Next.js, Flask, and API development.
  • Experience with MongoDB and Vector DB for data management is a plus.


· Technical Skills:

  • Strong understanding of machine learning algorithms, pattern recognition, and neural networks.
  • Proficient in Python and JavaScript.
  • Familiarity with LLM APIs (e.g., GPT-4), Langchain, and OpenAI function calling.
  • Knowledge of data manipulation tools like Pandas, NumPy.


Desired Competencies:

· Strong problem-solving and analytical skills.

· Ability to work collaboratively in a team environment.

· Excellent communication skills to explain technical concepts to non-technical stakeholders.

· Creative thinker, eager to explore cutting-edge AI technologies.

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