Senior AI Engineer

Description & Requirements

Who we are looking for

We are seeking a talentedSeniorAI 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