
Senior AI Engineering Manager
2 days ago
Job Title: AI Solutions Architect
">- With 4–6 years of experience in AI/ML development, you will be responsible for designing and implementing scalable AI solutions using Semantic Kernel, LangChain, and LangGraph.
- Collaborate with cross-functional teams to define use cases, architecture, and technical roadmaps for large language model (LLM) based projects.
- Develop and deploy LLM-based solutions integrating various APIs and knowledge sources to drive business value.
- Key Responsibilities:
- • Design, develop, and implement AI/ML models and intelligent workflows using Semantic Kernel, LangChain, and LangGraph.
- • Build and deploy LLM-based solutions integrating various APIs and knowledge sources to enhance customer engagement and retention.
- • Collaborate with cross-functional teams to define use cases, architecture, and technical roadmaps.
- • Perform prompt engineering, fine-tuning, and optimization for large language models (LLMs).
- • Ensure scalability, reliability, and efficiency of deployed AI systems.
- Required Skills & Qualifications:
- • 4–8 years of experience in AI/ML development, with exposure to LLM orchestration frameworks.
- • Strong hands-on experience with Semantic Kernel, LangChain, and LangGraph.
- • Proficiency in Python and common AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
- • Familiarity with APIs, vector databases, and knowledge graph integration.
- • Good understanding of data preprocessing, model tuning, and production deployment.
- What We Offer:
- • Opportunities to work on cutting-edge AI/ML projects.
- • Collaborative and dynamic work environment.
- • Professional growth and development opportunities.
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