Sr AI Python Developers

Role Overview
We are seeking highly skilled Senior AI Python Developers to design, build, and optimize advanced AI/ML solutions. The ideal candidates will bring strong expertise in Python development, machine learning frameworks, and deploying AI systems at scale. Beyond hands-on technical proficiency, they should also be able to mentor junior developers and drive innovation across our AI initiatives.

Key Responsibilities

• Lead the design, development, and deployment of AI/ML models and pipelines.
• Build scalable Python applications and APIs to integrate AI into production systems.
• Architect and implement LLM-based solutions (GPT, Llama, Falcon) and RAG pipelines for enterprise use cases.
• Apply Agentic AI concepts to build autonomous and multi-agent systems.
• Perform AI fine-tuning for domain-specific and production-ready models.
• Implement and optimize OCR solutions for unstructured data.
• Leverage LangChain to develop advanced LLM-powered applications.
• Collaborate with product managers, data engineers, and DevOps teams to deliver robust solutions.
• Monitor and optimize model performance continuously.
• Write clean, efficient, and maintainable code following best practices.
• Guide, mentor, and review junior developers’ work.
• Stay updated with emerging AI/ML technologies and recommend adoption.
• Contribute to MLOps practices (CI/CD for ML, model versioning, Docker/Kubernetes deployment).
• Ensure compliance with data security, governance, and ethical AI standards.

Qualifications & Skills

• Bachelor’s or Master’s in Computer Science, Software Engineering, AI, or related fields.
• 5+ years of professional Python development experience.
• Proven expertise with ML frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-learn.
• Hands-on experience with Agentic AI, AI Fine-Tuning, OCR, and LangChain.
• Strong grasp of ML algorithms, feature engineering, and data preprocessing.
• Knowledge of SQL/NoSQL databases.
• Experience with cloud platforms (AWS, GCP, Azure).
• Proficiency in Docker/Kubernetes.
• Strong analytical, problem-solving, and communication skills.
• Demonstrated leadership and mentoring abilities.

Preferred (Nice to Have)

• Experience building SaaS AI products or enterprise AI solutions.
• Familiarity with data security standards (ISO 27001, GDPR, NCA).
• Research background in deep learning, NLP, or generative AI.
• Contributions to open-source AI/ML projects.