APPLIED AI ENGINEER

Job Description

Overview Appzeon is hiring 4–5 Applied AI Engineers to design, prototype, and deploy AI-native agentic solutions. This role focuses on building production-ready AI systems, not research or maintenance. Engineers will rapidly transform business requirements into working AI products using modern AI technologies and cloud platforms.

Key Responsibilities

• AI Solution Development
• Design, build, and deploy GenAI and Agentic AI applications.
• Develop RAG pipelines, prompt systems, and AI workflows.
• Build integrations using MCP, APIs, webhooks, and enterprise systems.
• Utilize AWS Bedrock, Claude, GPT, and emerging agentic frameworks such as LangGraph, CrewAI, AWS Agentcore, and AWS Strands.
• Leverage AI development tools to accelerate delivery.
• Requirements
• 5–8 years of software engineering experience with 2+ years in AI/ML development.
• Proven experience delivering production-grade LLM or Agentic AI applications.
• Strong Python and/or TypeScript skills.
• Hands-on experience with AWS Bedrock (preferred) or equivalent AI platforms.
• Experience with LangChain, LangGraph, CrewAI, AWS Agentcore, AWS Strands, Claude Managed Agents, or similar frameworks.
• Strong API integration experience (REST, webhooks, MCP).
• Excellent communication and stakeholder management skills.
• Experience working in Agile/Scrum environments.
• Bachelor's degree in Computer Science, Software Engineering, AI/ML, or related field.
• Preferred Qualifications:
• Experience with AI evaluation, prompt testing, and model quality assurance.
• Knowledge of AI Development Lifecycle (AI-DLC).
• Experience with Agent-to-Agent (A2A) integrations.
• Background in SaaS, digital marketing technology, or sales operations.
• Ideal Candidate:
• Has successfully shipped at least one production-grade AI application.
• Understands RAG, agentic workflows, and enterprise AI architectures.
• Comfortable working with ambiguity and rapid delivery cycles.
• Demonstrates strong ownership, documentation, and collaboration skills.

Professional Skills

• Business Collaboration Work closely with product and business teams to identify AI opportunities. Convert business challenges into scalable AI solutions. Present demos and communicate business value to stakeholders. Create architecture documentation
• integration guides
• and implementation plans. Contribute reusable AI components and best practices. Governance & Security Follow responsible AI
• security
• and data privacy standards. Apply OWASP LLM Top 10 and NIST AI Risk Management principles. Stay current with AI technologies and industry trends.

Perks & Benefits

Our Vision

To become a globally trusted technology and innovation company that empowers businesses through intelligent digital solutions, artificial intelligence, and transformative technologies, enabling sustainable growth and lasting success.