Senior AI Python Developer

You will be responsible for designing, developing, and implementing AI solutions with a focus on Large Language Models (LLMs) and generative AI applications. Your main tasks will include: - Designing and implementing LLM-based applications using APIs from providers like Anthropic (Claude) and OpenAI - Building and maintaining Retrieval-Augmented Generation (RAG) systems for domain-specific applications - Creating efficient document processing and embedding pipelines - Developing, testing, and deploying scalable AI applications in production environments - Optimizing prompt engineering and context handling for LLM applications - Collaborating with cross-functional teams to understand requirements and deliver solutions - Writing clean, maintainable, and well-documented code - Contributing to the development of AI strategy and best practices - Staying current with the latest developments in AI/ML technologies and frameworks The qualifications required for this role include: - Bachelor's degree in Computer Science, Software Engineering, or related field - 3+ years of experience in Python development - Experience with LLM APIs (OpenAI, Anthropic, or similar) - Strong understanding of RAG architectures and vector databases - Experience with embedding models and semantic search - Proficiency in data processing libraries (NumPy, Pandas) - Solid understanding of NLP concepts and prompt engineering - Knowledge of software development best practices and version control (Git) - Experience with REST APIs and microservices architecture - Strong problem-solving and analytical skills Additionally, the following qualifications are preferred: - Master's degree in Computer Science, AI, or related field - Experience with cloud platforms (AWS, GCP, or Azure) - Knowledge of containerization (Docker) and orchestration (Kubernetes) - Experience with MLOps tools and practices - Experience building production-grade RAG systems - Background in prompt engineering and LLM application development - Experience with semantic search and embedding models - Contributions to open-source projects - Experience with distributed computing systems In terms of technical skills, you should be proficient in: - Programming Languages: Python (required), SQL - LLM Integration: OpenAI API, Claude API, LangChain, LlamaIndex - Vector Databases: Neo4j, Pinecone, Weaviate, or similar - RAG Frameworks: LangChain, LlamaIndex - Data Processing: NumPy, Pandas - Text Processing: NLTK, spaCy, sentence-transformers - Development Tools: Git, Docker, CI/CD - Cloud Platforms: AWS, GCP, or Azure - Database Systems: SQL and NoSQL databases Your soft skills should include: - Strong communication and collaboration abilities - Problem-solving mindset - Ability to work independently and in a team environment - Excellence in time management and organization - Adaptability and willingness to learn new technologies - Attention to detail and commitment to code quality,