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Agentic AI Engineer -W2/1099 Only

Valcan IT IncUnited States🇺🇸United StatesPosted 26 Aug 2026

Why This Role Stands Out

Advance your career as an Agentic AI Engineer by designing and deploying cutting-edge AI systems for major organizations, offering a fantastic opportunity to hone your skills in LLMs and production-grade AI. This role is perfect for experienced software engineers with a strong background in machine learning systems and a passion for building scalable, secure AI solutions. Apply today to join a forward-thinking team and make a significant impact in the AI landscape.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
1 week ago
DynamoDBAWSMachine LearningCloudFormationC++JavaPythonRedshiftTerraform

Job Description

Position: Agentic AI Engineer -W2/1099
Location: Remote
 
We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-scale AI agents for large organizations. This role is focused on engineering production grade AI systems not chat bot implementation. The ideal candidate will have deep expertise in software engineering, machine learning systems, LLMs, agent frameworks, and cloud-native architectures to build scalable, secure, and reliable AI solutions.

7+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.
3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.
Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).
Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).
Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.
Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.
Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation)

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