Senior AI Engineer

📋 Description

• Architect and implement production-grade AI solutions using LLMs, transformers, RAG pipelines, and
• Design, develop, and optimize multi-step AI agents with tool/invocation, reasoning chains, and
• Deploy and optimize AI-powered apps across AWS, Azure, or GCP for scalability and cost efficiency.
• Apply prompt engineering, evaluation frameworks, and model monitoring (latency, grounding, cost).
• Implement guardrails and Responsible AI practices, including injection mitigation, moderation, bias
• Collaborate with Data Scientists, Software Engineers, and Product stakeholders to move AI from

🎯 Requirements

• Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical
• Strong expertise in transformer-based models and LLM architectures.
• Proven experience deploying applied ML or generative AI systems to production.
• Hands-on with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow
• Advanced proficiency in Python and production-grade coding practices.
• Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures.

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business.
• English lessons to support professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and career development programs.
• Company-provided equipment and flexible working options.