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2 weeks ago
GenAI Solutions Architect
About the Role:We are seeking a highly skilled GenAI professional to join our team. As a key member of our organization, you will play a pivotal role in shaping the design, deployment, and observability of production-grade Large Language Model (LLM) agents and multi-modal AI applications.
Main Responsibilities:- Model & Agent Design:
- Create tailored LLM-powered agents and NLP solutions for business needs by designing, implementing, and fine-tuning.
- Develop multi-agent and multi-modal AI applications/frameworks with a focus on interactivity, latency optimization, failover, and usability.
- Hands-on Coding & Development:
- Write, test, and maintain clean, scalable, and efficient Python code for LLMs and AI agents.
- Implement fine-tuning, embeddings, and prompt engineering to optimize cost, latency, and accuracy.
- Performance & Monitoring:
- Optimize LLM agents for latency, scalability, robustness, and explainability.
- Implement observability and guardrails strategies for enterprise-safe AI deployments.
- Research & Innovation:
- Read, interpret, and implement AI/Agent research papers into practical production-ready solutions.
- Stay ahead of academic and industry trends in Agentic AI, multimodal AI, orchestration frameworks, and evaluation methodologies.
- A minimum of 5–9 years total experience, with at least 4+ years in NLP, CV, and LLMs.
- Strong expertise in GenAI, LLMs, RAG pipelines, embeddings, and vector databases.
- Proficiency in Python with strong debugging and system design skills.
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