Agentic AI Engineer

Accountabilities:

• Architect and implement production-grade multi-agent AI systems using modern orchestration frameworks, ensuring scalability, reliability, and security of agentic workflows.

• Build and maintain full AI pipelines covering data ingestion, embeddings, model integration, deployment, and continuous evaluation for performance and reuse.

• Develop and deploy internal AI applications that improve productivity through intelligent automation and decision support.

• Establish observability practices including logging, metrics, monitoring, and alerting to analyze and optimize runtime behavior such as latency, accuracy, and cost.

• Integrate agentic AI solutions with enterprise systems while applying AIOps principles for consistent deployment and operational efficiency.

• Collaborate with cross-functional teams including data scientists, software engineers, and product stakeholders to align AI initiatives with business goals.

• Stay current with emerging AI technologies and proactively recommend enhancements to existing systems and architectures.

Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a related field.

• 5+ years of experience in AI and machine learning, including designing, building, and deploying AI models and systems.

• At least 1+ year of hands-on experience developing RAG-based solutions and agentic AI applications or prototypes.

• Proven experience building end-to-end AI workflows, not limited to prompt engineering but including full agentic system design.

• Strong programming skills in Python (preferred), R, or Java, with solid understanding of ML frameworks such as TensorFlow or PyTorch.

• Hands-on experience with agentic frameworks such as MCP, LangGraph, or LlamaIndex, including state management and tool orchestration.

• Strong understanding of prompt engineering, context management, and agent tool definition.

• Experience with cloud platforms such as Azure (preferred), AWS, Google Cloud, or OCI, including AI services like Azure AI Foundry, Bedrock, or Vertex AI.

• Strong data handling skills, including preprocessing, feature engineering, and model evaluation on large datasets.

• Master’s degree or advanced certifications in AI or Machine Learning are a plus.

Benefits:

• Competitive salary range: 161,500 to 218,500 USD, based on experience and location.

• Remote work flexibility with full-flex work week options.

• Comprehensive health coverage including medical, dental, and vision plans.

• 401(k) retirement plan with company matching contributions.

• Generous paid time off including vacation, sick leave, personal days, holidays, and parental leave.

• Additional benefits such as life insurance, disability coverage, and accident protection.

• Strong career growth support through internal mobility programs and AI-powered career development tools.

• Inclusive and innovation-driven culture with a focus on continuous learning and collaboration.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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