Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level AI engineer in metro with a popular title and mid-experience attracts many qualified applicants.
Specialized agentic AI and LLM expertise limits transferability across non-ML roles.
Explicit minimum experience plus mandatory Python, agentic frameworks, and LLM expertise increases filtering strictness.
Architect, build, and deploy enterprise-grade AI agents in collaboration with clients for scalable production use.
Evolve AI agent development lifecycle by adapting software engineering best practices to address AI-specific challenges like non-determinism and LLM dependencies.
Drive product and platform evolution by surfacing customer needs and working with cross-functional teams to prioritize AI agent development initiatives.
Minimum 3 years of experience building agentic applications.
Proficient in Python with hands-on experience in AI agent frameworks, architectures, design patterns, knowledge-base, AI search, retrieval-augmented generation, context engineering, evaluation, and guardrailing.
Experience with modern AI agent patterns such as MCP, A2A, ACP, enabling modular systems with collaborative and adaptive agents.
Work Experience Required: Minimum 3 years in building agentic applications.
Experienced in developing complex AI agents that can collaborate, reason, and dynamically adapt to context.
Capable of working directly with customers to identify unmet needs and guide product and platform strategies.
Technically adept with a strong drive to innovate in AI agent architectures within fast-paced, product-driven environments.