Job Summary
We are seeking a talented Python AI / Generative AI Developer with 6+ years of experience in designing and developing AI-driven applications. The ideal candidate will have strong expertise in machine learning, natural language processing, and generative AI, with hands-on experience building intelligent systems in Python.
The role
involves developing AI-powered solutions, implementing generative AI models, integrating AI services into applications, and collaborating with cross-functional teams to deliver scalable and innovative AI solutions.
Key Responsibilities
- Design and develop AI and Generative AI solutions using Python.
- Build and integrate applications leveraging Large Language Models.
- Develop and optimize machine learning models using frameworks such as TensorFlow and PyTorch.
- Implement Natural Language Processing (NLP) techniques for intelligent text-based applications.
- Develop APIs and backend services to integrate AI capabilities into enterprise applications.
- Work with vector databases and embeddings for building semantic search and AI-powered systems.
- Fine-tune and optimize generative AI models for performance and accuracy.
- Collaborate with data scientists, engineers, and product teams to design AI-driven features.
- Monitor, evaluate, and improve AI model performance in production environments.
- Document AI models, workflows, and implementation strategies.
- Required Skills & Qualifications 6 years of experience in AI/ML development using Python.
- Strong understanding of Machine Learning and Natural Language Processing.
- Hands-on experience working with Large Language Models and Generative AI frameworks.
- Experience using AI/ML frameworks such as TensorFlow or PyTorch.
- Experience building AI-driven APIs and backend services.
- Proficiency in data processing libraries such as Pandas and NumPy.
- Understanding of prompt engineering, model fine-tuning, and AI workflow optimization.
- Experience working with REST APIs and cloud-based AI services.
Preferred Qualifications
- Experience with AI frameworks such as LangChain or LlamaIndex.
- Exposure to cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
- Experience with vector databases such as Pinecone or Weaviate.
- Familiarity with MLOps practices for model deployment and monitoring.
- Experience working in Agile development environments.
- Key Competencies AI and Generative AI development Machine learning model development and optimization NLP and LLM integration API development and system integration Analytical thinking and problem-solving
