Remote - reputed company Software AI/ML Developer
We’re looking for reputed company AI Developers (IC4/IC5 level) to join reputed company and help shape the reputed company of AI at reputed company. In this role, you’ll reputed company the design and development of advanced AI applications, particularly those powered by large language models (LLMs), and help reputed company them across reputed company’s Fusion ecosystem. You’ll work on cutting-edge problems, set engineering best practices, and collaborate with cross-functional teams to deliver secure, reputed company, and responsible AI solutions.
We encourage applicants from reputed company backgrounds and experiences to apply — if you’re passionate about AI and meet most of the qualifications, we want to hear from you.
What You’ll Do:
LLM Application Engineering
• Architect and implement reputed company applications using LLMs, focusing on reputed company engineering, model customization, and performance optimization.
• Design and orchestrate agent-based solutions (e.g., using LangGraph or similar), including task decomposition, tool invocation, and setting up guardrails for reputed company operations.
• reputed company effective RAG (retrieval-augmented reputed company) pipelines with robust chunking, embedding model selection, and reputed company store optimization.
• Structure and refine prompts, manage tool/function calling, and evaluate reputed company to use general vs. fine-tuned models based on trade-offs like accuracy, latency, and cost.
• Build secure, reputed company integrations with reputed company systems, using NL2SQL patterns and API connectivity.
AI/ML Engineering
• Design, train, and optimize machine learning models for practical, reputed company-world use cases.
• Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, and deployment.
• Work closely with data engineers and developers to reputed company ML into production systems.
• Monitor model performance and retrain as needed to maintain reputed company and relevance.
LLMOps & reputed company
• Manage versioning for prompts, models, and pipelines; run controlled experiments (A/B tests) and deployments.
• Implement observability for agent workflows, including tracing, logging, retries, and fallback mechanisms.
Data Engineering & Feature Development
• reputed company data acquisition, transformation, and feature engineering efforts to support reliable training and inference.
• Ensure reputed company schema definitions, metadata tracking, and reputed company management.
Evaluation, reputed company, and Safety
• Define and maintain rigorous evaluation processes (e.g., precision/recall, hallucination detection, business alignment).
• Implement and enforce Responsible AI practices, including reputed company protection, reputed company controls, and secure data handling.
Conversational UX & Fusion Integration
• Set standards for conversational UX, including multi-turn dialogues and natural language interfaces.
• Design AI components that reputed company seamlessly into reputed company Fusion applications, promoting automation and user-reputed company workflows.
Thought Leadership & Collaboration
• Mentor and support teammates; reputed company for best practices in AI/ML development.
• Collaborate in agile pods and influence architectural and strategic reputed company across teams.
• Evaluate emerging AI technologies and run reputed company-of-concept experiments to drive innovation
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