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AI Engineer - Agentic AI Development
Actively Hiring
Full-time Posted 4 days ago
Responsibilities
- check_circle Design, develop, and deploy production-grade AI agents and multi-agent systems.
- check_circle Build agent orchestration, tool integrations, and Model Context Protocol (MCP)-based solutions.
- check_circle Develop evaluation frameworks to measure agent performance, accuracy, reliability, and failure modes.
- check_circle Implement context engineering, memory management, and retrieval strategies for enterprise AI applications.
- check_circle Build scalable, production-ready software following the complete SDLC.
- check_circle Collaborate with client engineering teams to deliver intelligent automation solutions.
- check_circle Optimize AI applications for performance, latency, scalability, and cost.
- check_circle Contribute to engineering best practices and mentor team members on modern Agentic AI development.
- check_circle 5–8 years of software engineering experience with strong production development experience.
- check_circle Recent (within the last 1–2 years) hands-on experience building and deploying Agentic AI solutions.
- check_circle Proven experience designing and shipping production AI agents—not prototypes or experimental projects.
- check_circle Strong understanding of: Multi-agent orchestration AI tool integration Context engineering Memory and state management Agent evaluation methodologies
- check_circle Multi-agent orchestration
- check_circle AI tool integration
- check_circle Context engineering
- check_circle Memory and state management
- check_circle Agent evaluation methodologies
- check_circle Experience with modern LLMs and Agentic AI design patterns.
- check_circle Experience working with one or more of the following: LangGraph AutoGen CrewAI Semantic Kernel Claude Agent SDK OpenAI Assistants API
- check_circle LangGraph
- check_circle AutoGen
- check_circle CrewAI
- check_circle Semantic Kernel
- check_circle Claude Agent SDK
- check_circle OpenAI Assistants API
- check_circle Strong software engineering fundamentals including system design, testing, deployment, and production support.
- check_circle Excellent communication and stakeholder collaboration skills.
Basic qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- Strong problem-solving and software architecture skills.
- Demonstrated ability to independently design, build, test, and deploy production-grade AI solutions.
- Ability to work effectively with minimal supervision in a fast-paced engineering environment.
Preferred qualifications
- Prior experience as a Software Engineer with enterprise-scale application development.
- Hands-on experience with Claude Agent SDK.
- Experience with LLM optimization, prompt engineering, and AI cost management.
- Experience designing scalable AI systems for enterprise applications.
- Retail or e-commerce domain experience is a plus.
- Experience working in Agile development environments.
Tags & Focus Areas
Fulltime Contract Ai Ai Engineer
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