Senior AI Engineer

Description & Requirements Who we are looking for We are seeking a talented Senior AI Engineer to join our team, focusing on designing, developing, and implementing advanced AI solutions. The ideal candidate will have a strong background in Python programming and practical experience with modern AI frameworks and tools. Technical Skills - Programming Languages: Python (required), JavaScript/TypeScript (beneficial) - AI Technologies: OpenAI, Anthropic Claude, LangChain - Data Processing: Pandas, NumPy, Data Engineering, Data Analysis - Web Frameworks: FastAPI, Django, REST APIs - Cloud Platforms: Microsoft Azure, AWS - Databases: SQL, NoSQL, Vector databases (Pinecone, etc.) - DevOps: Docker, Git, CI/CD pipelines Required Qualifications - Bachelor's degree in Computer Science, Applied Mathematics, or related technical field - 2+ years of experience as an AI Engineer - Strong programming skills in Python - Experience with generative AI technologies - Familiarity with vector databases (Pinecone, Weaviate, etc.) - Experience with OpenAI products and Anthropic Claude Additional skills would be a plus: - Background in building multi-agent AI-based solutions - Experience with FastAPI or Django frameworks - Knowledge of message queuing systems - Relevant certifications (AWS, etc.) - Background in data engineering or data analysis Soft Skills - Strong analytical and problem-solving abilities - Excellent communication skills in English - Ability to work effectively in cross-functional teams - Self-motivation and ability to work independently - Adaptability to rapidly evolving technologies - Passion for AI innovation and emerging technologies Your future role - Design and implement collaborative AI agent environments using OpenAI, Anthropic, and other LLM platforms - Develop and customize AI agents using existing frameworks and build custom agentic systems - Create autonomous agent workflows and orchestration systems for complex task execution - Develop scalable RESTful APIs for AI-powered applications - Create and optimize natural language processing (NLP) pipelines and workflows - Implement and fine-tune large language models - Design and maintain vector databases for efficient retrieval of AI-relevant information - Work with cross-functional teams to integrate AI capabilities into existing products and services - Containerize and deploy AI services using Docker and cloud platforms - Optimize AI model performance and ensure system reliability - Mentor junior team members on AI technologies and best practices - Stay current with latest advancements in AI and recommend new approaches What we offer - Opportunity to work on cutting-edge AI technologies and solutions - Professional development and learning opportunities - Collaborative and innovative work environment - Career advancement opportunities