AI/ML Strategy Consultant

Job Summary: We are seeking a Generative AI Engineer to design, build, and scale agentic and generative AI solutions that deliver measurable business outcomes. This is a hands-on role involving the development of AI-powered applications, contributing to technical strategy, and supporting the delivery of scalable, production-grade systems. The ideal candidate will work across AI/ML and software engineering domains, integrating advanced AI capabilities into enterprise platforms.

Key Responsibilities:

• Design, develop, test, and deploy AI-enabled services and applications across environments
• Build and scale generative AI solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks
• Develop production-grade agentic solutions using frameworks such as LangChain and LangGraph
• Build and orchestrate multi-agent systems using tools such as Google ADK and related ecosystems
• Integrate AI capabilities into existing enterprise systems and applications
• Engineer secure execution patterns, ensuring compliance with enterprise security and integration standards
• Evaluate technical challenges related to AI technologies, orchestration approaches, and model behavior
• Troubleshoot and resolve complex issues across AI services and models
• Implement monitoring, evaluation, and lifecycle management for AI systems, including performance and drift tracking
• Contribute to technical strategy, platform standards, and operational readiness for AI initiatives
• Collaborate with cross-functional teams to deliver high-quality solutions
• Provide technical guidance and mentorship to team members
• Ensure alignment with organizational policies, compliance requirements, and risk management standards

Required Qualifications:

• Strong experience in software engineering and AI/ML development
• Hands-on experience building generative AI and LLM-based applications in production environments
• Experience with frameworks such as LangChain, LangGraph, or similar
• Proficiency in designing and implementing RAG-based solutions and agentic architectures
• Experience integrating AI systems into enterprise applications and services
• Strong understanding of orchestration, multi-agent systems, and AI model behavior
• Experience troubleshooting and optimizing AI systems for performance and reliability
• Familiarity with monitoring, evaluation, and lifecycle management of AI models
• Strong problem-solving and analytical skills
• Effective communication and collaboration skills

Preferred Qualifications:

• Experience with Google ADK or similar multi-agent development platforms
• Familiarity with MCP-based tool integration and agent-to-agent communication patterns
• Experience implementing secure, enterprise-grade AI systems
• Experience mentoring or guiding engineering teams
• Exposure to large-scale AI platform strategy and architecture

Education: Bachelors Degree

For applications and inquiries, contact: hirings@openkyber.com