AI Engineer (AL - AI - 20250513)

AI Engineer (AL - AI - 20250513)

Remote

Celara /

Contract /

Remote

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At Celara, we build intelligent solutions that help businesses harness the power of AI to solve real-world problems. We’re passionate about innovation, engineering excellence, and staying at the forefront of AI advancement. Join us to work on cutting-edge projects using LLMs, RAGs, and AI-driven applications across various domains.

We are looking for an experienced AI Engineer to design, develop, and deploy AI-powered applications and chatbots. This role involves working closely with data, LLMs, and deployment tools to create production-ready solutions. You’ll contribute across the entire development lifecycle — from prompt design and performance validation to containerization and deployment.

Key Responsibilities

• Build and optimize chatbots, RAGs, and other LLM-based applications.
• Design and tailor prompt engineering strategies for agents and task-specific solutions.
• Ingest and process diverse data formats including JSON, text, images, and audio.
• Develop and expose APIs using FastAPI for AI services.
• Validate and evaluate performance of AI models and applications.
• Create Dockerized applications ready for deployment in scalable environments.
• Collaborate with cross-functional teams to integrate AI features into production systems.
• Stay up to date with the latest AI/LLM trends, tools, and frameworks.

Core Skills Required

• Python (advanced level)
• FastAPI for API development
• SQL and data querying experience
• Elasticsearch
• Experience with LLMs (OpenAI, HuggingFace, etc.)
• Proficiency with Docker and Git
• Strong understanding of AI solution performance metrics and validation strategies
• English Proficiency

Nice to Have

• Experience with Azure services (especially for AI/ML deployment)
• Automated Unit Testing in Python
• Familiarity with SQL Server
• Knowledge of CI/CD pipelines and container orchestration

What We Offer

• Remote-first work environment
• Work on impactful, real-world AI applications
• Collaborative and inclusive culture
• Flexible hours and time-off policy
• Continuous learning

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