GEN AI | Codersbrain
full-time
Posted on June 7, 2025
Job Description
Gen AI Engineer
Company Overview
[Company information not provided.]
Job Summary
The Gen AI Engineer will play a critical role in the development and implementation of generative AI solutions. This position primarily focuses on utilizing AWS Bedrock and Foundation Models to enhance AI capabilities while ensuring safety and optimization. The engineer will work remotely and is expected to contribute to innovative projects that align with the company's goals.
Responsibilities
- Develop and implement solutions using AWS Bedrock and Foundation Models.
- Manage and optimize vector databases such as OpenSearch and Pinecone.
- Utilize embedding models and techniques for effective data representation.
- Engage in prompt engineering and optimization to improve AI outputs.
- Implement LLM function calling to enhance model interaction and performance.
- Ensure AI systems adhere to safety standards and incorporate necessary guardrails.
Qualifications
- Proficiency in Python and experience with machine learning frameworks.
- Strong understanding of AWS Machine Learning services.
- Familiarity with vector database integration.
- Skills in embedding models and techniques.
- Experience with LLM function programming.
- Knowledge of automation techniques with Python.
- [Education qualifications not specified, but relevant technical degrees may be preferred.]
Preferred Skills
- Understanding of AI safety protocols and best practices.
- Experience with prompt optimization methods.
Experience
- Minimum of 0 years of experience in relevant fields. Entry-level candidates are encouraged to apply.
Environment
- This position is remote, allowing for flexible work arrangements.
Salary
- Salary details are not specified.
Growth Opportunities
- [Opportunities for career advancement not specified.]
Benefits
- [Benefits information not provided.]
What we're looking for
- Assesses proficiency in generative AI solutions, including AWS Bedrock and Foundation Models for innovative AI system development.
- Evaluates candidate expertise in AWS Machine Learning services and general machine learning frameworks.
- Assesses understanding and practical experience with vector databases and embedding techniques for data representation.
- Measures the ability in prompt engineering, including design and optimization to improve AI output quality.
- Evaluates experience with LLM function calling for enhanced interaction and performance of language models.
- Assesses proficiency in Python programming and automation techniques for AI and machine learning projects.
- Evaluates academic pedigree including technical degrees and institutional reputation in relevant fields.
You must
- AWS Bedrock and Foundation Models
- Vector Database Management
- Prompt Engineering and LLM Function Calling