APPLIED AI ENGINEER

Company Description Appzeon is a premium IT solutions and consulting company that helps businesses transform ideas into high-impact digital experiences. Headquartered in Coimbatore, India, Appzeon specializes in building scalable, high-performance web, mobile, AI, and enterprise solutions that drive measurable business growth. The company combines strategy, innovation, and structured processes with AI-powered thinking to deliver solutions that are functional, user-centered, and future-ready. With end-to-end expertise across web development, AI and automation, digital marketing, UI/UX, and ERP systems, Appzeon focuses on being a trusted technology partner for startups and growing organizations. Its mission is to bridge the gap between business and technology and its vision is to become a global leader in building intelligent, impactful, and scalable digital ecosystems.

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 documentationintegration guidesand implementation plans. Contribute reusable AI components and best practices. Governance & Security Follow responsible AIsecurityand data privacy standards. Apply OWASP LLM Top 10 and NIST AI Risk Management principles. Stay current with AI technologies and industry trends.