AI Engineer
Quick Overview
Job Description
Position Overview
We are seeking an experienced AI Engineer to design, develop, and support production-grade machine learning and AI solutions. The ideal candidate will have strong software development experience, hands-on experience building production ML systems, and practical expertise working with Large Language Models (LLMs).
Duration: 6 Month + Contract
Location: Remote
Authorization: W2 Candidates - No Sponsorship
Key Responsibilities
- Design, develop, test, and maintain scalable AI and machine learning applications.
- Build and support production ML systems, including model deployment, serving, evaluation, monitoring, and data processing pipelines.
- Develop applications using LLMs, including API integrations, prompt engineering, fine-tuning, RAG, and tool-using agents.
- Work with both commercial and open-source LLMs, including platforms such as OpenAI, Gemini, Llama, Qwen, and Claude.
- Develop efficient and reliable solutions using strong software engineering, machine learning, statistics, algorithms, and data structures knowledge.
- Collaborate with technical and business teams to translate complex AI concepts into practical solutions with measurable business impact.
- Take ownership of projects and work effectively in a fast-paced, globally distributed environment.
Required Qualifications
- 5+ years of professional software development experience using one or more languages such as Python, C/C++, Go, or Java.
- Strong hands-on experience with Python and large-scale applications preferred.
- 3+ years of experience designing, architecting, testing, and launching production machine learning systems.
- Hands-on experience with LLMs, including API integration, prompt engineering, fine-tuning/adaptation, RAG, and AI agents.
- Solid understanding of core machine learning concepts, applied statistics, algorithms, and data structures.
- Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly.
Preferred Qualifications
- Experience building and operating AI/ML solutions in AWS.
- Experience with containerized services, serverless applications, data services, model serving, orchestration, and infrastructure-as-code.
- Experience with technologies such as ECS/EKS, Lambda, S3, DynamoDB, Redshift, Step Functions, SageMaker, Terraform, or CloudFormation.
EDUCATION:
- A bachelor’s degree in Engineering, Computer Science, or an equivalent qualification;
Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.
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