AI Engineer (Generative AI & LLM Specialist)

Job Title: AI Engineer (Generative AI & LLM Specialist)

Location: Gulberg II, Lahore

Company: Musketeers Tech

About Us: Musketeers Tech is a forward-thinking software firm specializing in AI and Edtech solutions. With headquarters in Canada and a dynamic branch in Lahore, we are at the forefront of creating innovative digital experiences. Our mission is to leverage state-of-the-art generative AI, large language models (LLMs), and streamlined workflow orchestration (via LangChain and Comfy Workflows) to revolutionize how technology enhances learning and interaction.

Position Overview:

We are seeking a passionate AI Engineer with deep expertise in generative AI, LLMs, and the integration of advanced workflows using LangChain and Comfy Workflows. In this role, you will design, develop, and deploy cutting-edge AI solutions that harness the power of GenAI technologies. Collaborating closely with data scientists, engineers, and product teams, you will drive innovations that optimize our systems and deliver transformative digital experiences.

Key Responsibilities:

• Generative AI & LLM Development:Design and develop AI solutions leveraging generative AI models and LLMs (e.g., GPT-4 and beyond) to tackle complex challenges.
• Implement and fine-tune language models for diverse applications.
• Workflow Integration: Build and optimize Comfy Workflows to ensure smooth deployment and management of AI solutions across platforms.
• Cross-Functional Collaboration:Work alongside data scientists, software engineers, and product managers to integrate AI-driven enhancements into our products and services.
• Research & Innovation:Stay abreast of emerging trends in generative AI, LLMs, and workflow automation to continuously refine our strategies and methodologies.
• Data & Model Management:Analyze and preprocess large datasets to provide high-quality inputs for AI models.
• Test, validate, and iterate on models to ensure accuracy, efficiency, and reliability.
• Documentation & Code Quality:Document development processes, model architectures, and workflow configurations for internal knowledge sharing.
• Participate in code reviews to maintain high standards of code quality and performance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and deploying machine learning models, with a strong emphasis on generative AI.
• Proficient in Python and familiar with AI libraries/frameworks such as TensorFlow, PyTorch, or similar.
• Hands-on experience working with large language models (LLMs) and implementing solutions using LangChain.
• Knowledge of workflow orchestration systems, with experience in Comfy Workflows or analogous tools.
• Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
• Excellent communication skills and a passion for continuous learning and technological innovation.

Preferred Qualifications:

• Experience with deep learning techniques and natural language processing (NLP).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for AI solution deployment.
• Knowledge of agile development practices and version control systems.
• Prior experience in integrating AI solutions within Edtech or digital learning environments.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on groundbreaking projects utilizing state-of-the-art generative AI and workflow automation.
• A collaborative, innovative environment that fosters creativity and professional growth.
• Continuous learning and professional development opportunities.