Posted:1 day ago|
Platform:
On-site
Full Time
● Design and deploy intelligent, agent-driven systems that autonomously solve
complex, real-world problems using cutting-edge algorithms and AI libraries.
● Engineer collaborative agentic frameworks that coordinate multiple specialized
● Build and extend MCP-based infrastructure that enables secure, context-rich
interaction between agents and external tools, empowering AI systems to act, reason,
and adapt in real-time.
● Build human-in-the-loop agent workflows where humans benefit from AI assistance
in decision-making and automation, while agents learn and improve through
continuous human feedback.
● Stay abreast of the latest trends in AI research and integrate them into our products
and services.
● Communicate technical challenges and solutions to non-technical stakeholders and
team members.
evaluate models in real-world environments.
optimization, generalization, and evaluation metrics across supervised,
unsupervised, and generative settings.
formats, and building pipelines for feature extraction, embedding generation, and
downstream model consumption.
including model inference, API deployment, and system monitoring.
architectural decisions, especially when working across interdisciplinary teams.
pipeline reproducibility, observability, and governance in production environments.
CodeVyasa
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