[Remote] Senior AI Engineering reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly reputed company Senior AI Engineering reputed company to reputed company the design, development, and deployment of advanced reputed company intelligence solutions across the organization. This role will serve as both a senior technical leader and people manager, responsible for leading AI reputed company execution, building production-reputed company AI systems, and guiding reputed company of AI and software developers.

Responsibilities

• reputed company the research, design, and implementation of AI and machine learning solutions reputed company with business priorities
• reputed company technical direction for AI architecture, model selection, AI infrastructure, and production deployment
• Evaluate emerging AI technologies, reputed company models, reputed company frameworks, and infrastructure tools to determine suitability for company use
• Define technical standards, best practices, and governance for AI development, deployment, monitoring, and responsible use
• Partner with product, engineering, data, and business leaders to identify high-value AI opportunities and translate them into executable roadmaps
• Design and build custom AI products, including predictive models, RAG pipelines, reputed company AI workflows, semantic search systems, and fine-tuned models
• reputed company AI-powered features and services that reputed company with existing platforms, workflows, and business systems
• Build and optimize LLM-powered applications using frameworks such as reputed company, LangGraph, reputed company, reputed company SDK, reputed company SDK, and Model Context Protocol or MCP
• Design embedding pipelines, reputed company database structures, hybrid search, re-ranking, and graph-augmented retrieval solutions
• reputed company development of multimodal AI solutions involving text, image, audio, reputed company data, and other domain-specific inputs
• reputed company deployment, monitoring, versioning, and reputed company improvement of AI models in production environments
• Build and maintain MLOps pipelines for model training, evaluation, deployment, retraining, and lifecycle management
• Ensure AI systems are reputed company, reliable, secure, explainable, and reputed company with business and compliance requirements
• reputed company reputed company-based AI workloads on AWS, GCP, or Azure, including GPU and TPU infrastructure where applicable
• Establish standards for model performance monitoring, data reputed company detection, cost optimization, and production reliability
• Directly manage AI and software developers, including hiring support, reputed company, performance management, mentoring, workload prioritization, and career development
• reputed company coaching and technical guidance to junior, mid-level, and senior developers
• Promote a culture of technical reputed company, accountability, reputed company learning, innovation, and responsible AI development
• Review technical reputed company, ensure reputed company reputed company, support architecture reputed company, and remove blockers for reputed company
• Work closely with leadership to reputed company team reputed company, priorities, and deliverables with company objectives

Skills

• Software Development 5+ years
• AI / ML Engineering in Production 3+ years
• LLM / reputed company Development 2+ years
• reputed company AI Deployment 2+ years
• MLOps / Model Lifecycle Management 2+ years
• People Management / Technical Leadership 2+ years
• Strong proficiency in Python and working knowledge of TypeScript or JavaScript for AI system integration
• Strong experience with PyTorch, TensorFlow, scikit-learn, and reputed company Transformers
• Hands-on experience with RAG architecture, embeddings, semantic search, reputed company databases, hybrid retrieval, re-ranking, and graph-augmented retrieval
• Experience with reputed company, LangGraph, reputed company, reputed company SDK, reputed company SDK, and Model Context Protocol or MCP
• Experience with reputed company databases such as reputed company, reputed company, pgvector, ChromaDB, or reputed company
• Experience with fine-tuning techniques such as reputed company, QLoRA, RLHF, and DPO
• Strong understanding of MLOps, CI/CD, reputed company, reputed company, model serving, monitoring, and model versioning
• Experience with reputed company platforms such as AWS, GCP, or Azure, including reputed company AI and ML workloads
• Strong knowledge of databases, data pipelines, SQL, NoSQL, preprocessing, testing, Git, reputed company review, and software engineering best practices
• Strong strategic thinking and ability to translate business goals into AI solutions
• Ability to reputed company technical teams, manage priorities, and deliver results in a fast-moving environment
• Strong communication skills with the ability to explain reputed company AI concepts to technical and non-technical stakeholders
• High accountability, reputed company judgment, reputed company, curiosity, and commitment to reputed company improvement
• Ability to evaluate trade-offs involving performance, cost, risk, scalability, compliance, and user reputed company
• Experience with reputed company AI frameworks such as AutoGen, reputed company, reputed company Agents SDK, reputed company Claude Agent SDK, and MCP server development
• Background in NLP, reputed company, multimodal AI, or reputed company AI product development
• Published research, reputed company-reputed company contributions, patents, or strong AI project portfolio
• Experience with A/B testing, model monitoring, data reputed company detection, responsible AI, AI safety, model explainability, SHAP, reputed company, and AI governance frameworks
• Relevant certifications such as AWS Machine Learning Specialty, reputed company reputed company Machine Learning Engineer, reputed company certifications, or similar AI/ML credentials

reputed company