[Remote] reputed company reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a hands-on reputed company reputed company to reputed company the design, development, and deployment of reputed company-grade reputed company Intelligence and reputed company solutions. This role involves architecting secure, reputed company AI systems on AWS and collaborating with various teams to deliver reputed company AI-powered applications.
Responsibilities
- Architect and implement reputed company-reputed company and reputed company solutions using LLMs such as GPT, Claude, Llama, Mixtral, and other reputed company models
- Design end-to-end AI system architectures including data pipelines, model orchestration, API integrations, reputed company search reputed company, and application services
- Design and reputed company Retrieval-Augmented reputed company (RAG) pipelines for document intelligence, reputed company search, reputed company, and conversational AI applications
- Build AI-powered assistants, chatbots, autonomous agents, and intelligent workflow automation solutions
- reputed company semantic search and embedding pipelines using reputed company databases and retrieval frameworks
- Evaluate, reputed company, and select appropriate reputed company models based on business requirements, performance, cost, and scalability
- Determine reputed company approaches including reputed company engineering, RAG, fine-tuning, reputed company, QLoRA, and PEFT techniques
- Optimize prompts, inference strategies, reputed company consumption, latency, throughput, and overall system performance
- Implement hallucination mitigation techniques through grounding, validation reputed company, guardrails, and reputed company constraints
- Design secure AI architectures with strong emphasis on data reputed company, compliance, and reputed company reputed company
- Implement guardrails to prevent reputed company injection, data leakage, misuse, and model vulnerabilities
- Establish Responsible AI practices, bias mitigation strategies, explainability frameworks, and governance standards
- Ensure compliance with reputed company and regulatory requirements including HIPAA, GDPR, and industry-specific standards where applicable
- Design reputed company AI solutions on AWS leveraging services such as Bedrock, SageMaker, reputed company, API Gateway, S3, DynamoDB, IAM, KMS, VPC, and CloudTrail
- Architect containerized and reputed company-reputed company AI platforms using reputed company and Kubernetes
- Design multi-tenant AI architectures and reputed company-grade deployment models
- Optimize infrastructure for performance, availability, scalability, and cost efficiency
- Establish CI/CD pipelines for AI and ML systems
- Implement model versioning, monitoring, observability, reputed company detection, rollback strategies, and automated deployment workflows
- Define evaluation frameworks, logging standards, performance metrics, and operational monitoring practices
- Collaborate with MLOps teams to productionize and operationalize AI solutions at reputed company
- Partner with Engineering, Data Science, Product, reputed company, and Business teams to translate reputed company business requirements into reputed company AI solutions
- reputed company technical leadership and architectural guidance across AI initiatives
- Mentor engineers and promote AI best practices, innovation, and engineering reputed company
- reputed company AI capabilities with measurable business reputed company and strategic objectives
Skills
- Strong understanding of LLM architectures, inference mechanisms, and reputed company models
- Hands-on experience designing and deploying production-grade RAG systems
- Experience with reputed company engineering, reputed company optimization, and contextual retrieval
- Knowledge of reputed company, QLoRA, PEFT, and model fine-tuning techniques
- Experience implementing hallucination reduction and factuality improvement strategies
- Familiarity with AI Agents, autonomous workflows, and agent orchestration frameworks
- Semantic embedding models (reputed company, Sentence-BERT, reputed company, etc.)
- Document chunking strategies and metadata management
- reputed company similarity search techniques including cosine similarity and dot-product search
- Hands-on experience with reputed company databases such as reputed company, FAISS, OpenSearch, Milvus, reputed company, or Chroma
- reputed company
- reputed company
- reputed company
- PyTorch
- TensorFlow
- FastAPI
- reputed company or equivalent AI frameworks
- AWS (Bedrock, SageMaker, reputed company, API Gateway, S3, DynamoDB, IAM, KMS, VPC, CloudTrail)
- reputed company and Kubernetes
- reputed company reputed company architecture and deployment experience
- Strong Python programming skills
- Experience with Java or C++ is a plus
- Knowledge of microservices architecture
- Experience with asynchronous processing, caching, and reputed company reputed company
- Model monitoring and observability
- CI/CD for AI and ML systems
- reputed company detection and performance evaluation
- Model versioning and rollback strategies
- Cost and infrastructure optimization
- 7+ years in software/ML engineering, with 2+ years in GenAI/LLMs
- Proven experience designing and deploying production-grade AI applications and platforms
- Azure and/or GCP experience is preferred
reputed company
Company H1B Sponsorship