Python Developer Jobs — From Web to AI

TalentProof is seeking a creative and skilled AI Prompt Engineer to design, refine, and optimize prompts across various generative AI tools and platforms. Whether you are a talented beginner with exceptional prompting intuition or an experienced professional, what matters most is your capability to engineer effective prompts and drive high-quality AI outputs.

Responsibilities

• Design, develop, and iterate on complex prompts to optimize AI model performance across creative and functional tasks.
• Experiment with diverse generative AI products, tools, and platforms to generate high-quality content and solutions.
• Analyze AI output quality and systematically refine prompts using techniques like few-shot learning, role definition, and chain-of-thought prompting.
• Collaborate with team members to integrate prompt engineering strategies into workflows and product features.
• Stay updated on the latest developments in large language models (LLMs) and generative AI capabilities.

Qualifications

• Proven skill and intuition in crafting effective AI prompts to achieve specific, high-quality results.
• Hands-on experience with leading generative AI tools and platforms.
• Strong creative problem-solving skills and attention to detail.
• Open to all experience levels (freshers to experienced candidates) with demonstrated skill in AI prompting.

Preferred Qualifications

• Familiarity with prompt evaluation methods and benchmarking.
• Basic scripting or programming skills (e.g., Python) for interacting with AI APIs.
• Portfolio or practical examples demonstrating creative or innovative AI-driven outputs.

TalentProof Demo is seeking an exceptional Senior Principal Lead Solutions Architect and Technical Program Manager to drive the design, development, and delivery of advanced AI/ML solutions across multiple business units. This pivotal role requires a deep technical background in AI/ML, strong architectural design skills, and proven experience in managing complex technical programs from inception to deployment. You will be responsible for bridging the gap between cutting-edge research, scalable engineering, and strategic business objectives.

Responsibilities

• Lead the architectural definition, design, and implementation strategies for enterprise-level AI/ML platforms and applications.
• Drive cross-functional technical programs, managing timelines, resources, and deliverables for AI/ML projects.
• Collaborate with data scientists, machine learning engineers, and product teams to translate business requirements into robust, scalable, and secure technical solutions.
• Provide technical leadership and mentorship to engineering teams, ensuring best practices in software development, MLOps, and system reliability.
• Evaluate and recommend new technologies, tools, and methodologies to enhance our AI/ML capabilities and infrastructure.
• Identify and mitigate technical risks and challenges throughout the project lifecycle.
• Communicate complex technical concepts and project statuses effectively to both technical and non-technical stakeholders.

Qualifications

Required Skills & Experience:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 8+ years of experience in software engineering, with at least 5 years focused on AI/ML solution architecture, design, and development.
• Proven experience in a lead architect or technical program manager role for large-scale AI/ML initiatives.
• Deep expertise in machine learning principles, algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of cloud platforms (AWS, Azure, GCP) and experience with MLOps tools and practices (e.g., Kubernetes, Docker, MLflow, Kubeflow).
• Exceptional problem-solving skills and the ability to design scalable, high-performance systems.
• Excellent communication, interpersonal, and leadership skills.

Preferred Qualifications:

• Ph.D. in a relevant field.
• Experience with distributed computing frameworks (e.g., Spark, Hadoop).
• Familiarity with data governance, privacy, and security best practices in AI/ML.
• Publications or active contributions to the AI/ML community.