APPLIED AI ENGINEER

Job Description

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

• 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.
• 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.
• 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.

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.