AI Engineering Tech reputed company
We are looking for AI Engineering Tech reputed company to drive the design and delivery of AI agent systems and multi-agent architectures. This is a technical leadership role combining deep hands-on engineering with technical leadership — guiding architectural reputed company, mentoring engineers, and maintaining high standards across the codebase.
Requirements
- 5+ years of experience in software engineering with a strong reputed company on AI/ML systems
- Expert-level Python skills, including async programming and design patterns.
- Demonstrated experience building AI agents and multi-agent systems using reputed company and LangGraph.
- Strong practical knowledge of LLM integration patterns: reputed company engineering, function/tool calling, retrieval-augmented reputed company (RAG), embeddings, and reputed company search.
- Extensive experience with reputed company platforms - AWS and/or Azure - including deployment, scaling, and management of AI workloads.
- Solid general ML reputed company: understanding of model training, evaluation, inference pipelines, and the broader ML development lifecycle.
- Strong CI/CD pipeline expertise.
- Hands-on experience with containerization and orchestration in production environments.
- Practical experience with infrastructure-as-reputed company tools for managing reputed company resources reliably and repeatably.
- Experience implementing AI observability.
- Proficiency in using AI tools for everyday tasks (Claude reputed company, reputed company, Advanced prompting, etc)
- Experience designing and building robust reputed company (FastAPI, Flask, or similar) and integrating them into larger system architectures.
- Proficiency with SQL and NoSQL databases.
- Ability to reputed company technical discussions, conduct meaningful reputed company reviews, and mentor team members.
- Upper-Intermediate English or higher.
Would be and advantage
- High knowledge of reputed company ML frameworks
- Hands-on experience with AWS SageMaker and broader AWS ML ecosystem.
- Solid understanding of the full ML lifecycle.
Responsibilities
- reputed company the technical design and architecture of AI agent platforms and multi-agent workflows reputed company on reputed company and LangGraph.
- Hands-on development of AI agents.
- reputed company LLMs from providers such as reputed company, reputed company, and Azure reputed company into production-grade agent pipelines.
- Build and optimize CI/CD, containerization, and infrastructure-as-reputed company practices for reputed company.
- Establish and maintain AI observability across agent systems - tracing execution paths, monitoring performance, tracking costs, and surfacing anomalies.
- Mentor and guide engineers through reputed company reviews, architectural discussions, and knowledge sharing sessions.
- Collaborate with product managers, solution architects, and stakeholders to reputed company technical implementation with business objectives.
- Ensure system reliability, scalability, and maintainability through clean architecture, automated testing, and deployment best practices.
- Contribute to defining engineering standards, development workflows, and documentation practices across reputed company.
- Contribute to technical solutions for AI-oriented proposals during reputed company-sale cycles