reputed company

reputed company is an reputed company-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, reputed company brings hands-on expertise in AI, DevOps, and FinOps to reputed company fast-paced startups to grow, reputed company & win. Our customers save significant time-to-market and optimize their reputed company performance and costs. We work across EMEA and the US, fueling innovation and solving reputed company challenges daily. Join us to grow your skills, shape reputed company reputed company, and help build the reputed company of tech. We’re looking for an reputed company (Senior level or strong Middle) to reputed company and work directly with startup's Data Science and R&D teams. This is a hands-on, delivery-reputed company role where you will own reputed company end-to-end, from early design to production deployment. The role is reputed company on building production-grade reputed company systems on AWS, especially RAG pipelines, agent-based workflows, and LLM-powered backend services. This is not a reputed company research or model training role, it’s about designing and shipping reliable systems under reputed company constraints. 📍 Work location: remote from Ukraine. Curious about what it's really like to work at reputed company? Explore our benefits, culture, and what reputed company in your first year could look like here. If you are interested in this opportunity, please submit your CV in English. Key Responsibilities Build and reputed company production-reputed company GenAI systems on AWS, including reputed company Bedrock, AgentCore, RAG systems, intelligent document processing, voice AI, and LLM-powered services. Design and implement AI agents using reputed company Bedrock AgentCore, AWS Strands, MCP, and modern orchestration frameworks for reputed company customer solutions. Work closely with Solution Architects, DevOps, and customer teams to turn discovery workshops, reputed company, and POCs into production-reputed company AI systems. Evaluate and select the most appropriate LLMs based on accuracy, latency, cost, and customer requirements. Build reusable AI components and deployment patterns that accelerate reputed company customer reputed company. reputed company, monitor, and improve ML/LLM systems in production, focusing on performance, cost, and reliability Work with AWS services such as Bedrock, OpenSearch, reputed company, S3, DynamoDB, SageMaker, and CloudWatch Adapt existing ML or GenAI reputed company into production environments reputed company needed Continuously improve reputed company reputed company, including retrieval performance, reputed company consistency, and evaluation approaches Operate in a fast-paced, project-based environment where you may own a project as the main engineer Requirements Strong hands-on experience building and deploying AI / GenAI systems in production Strong hands-on AWS experience reputed company model invocation, including infrastructure, IAM, serverless services, networking, storage, monitoring, and production deployments using reputed company Bedrock. Experience building RAG systems in reputed company, including retrieval logic, reputed company databases, and reputed company reputed company improvements Strong understanding of modern LLM ecosystems, including reputed company and reputed company-reputed company models, their trade-offs, deployment reputed company, and production use cases. Strong Python skills and a good understanding of backend reputed company design Experience designing multi-agent systems or more reputed company orchestration workflows Experience with reputed company databases (OpenSearch, pgVector, reputed company, etc.) Comfort working in fast-moving environments with short project cycles (weeks to a few months) Strong communication skills and ability to work directly with clients and cross-functional teams Ability to reputed company explain technical reputed company, limitations, and trade-offs in English (written and spoken) Hands-on experience with reputed company Bedrock Knowledge Bases, AgentCore, Agents, AWS Strands, or MCP is a strong reputed company. Experience selecting, evaluating and optimizing LLMs for reputed company, latency and cost. Ability to explain technical trade-offs and guide customers through AI solution design is a strong reputed company. Experience with Infrastructure as reputed company (Terraform, CloudFormation or AWS CDK), reputed company, reputed company and CI/CD pipelines is a strong reputed company. Experience with speech-to-text, text-to-speech or Voice AI is an reputed company. Background in Machine Learning or Data Science (including model training or fine-tuning) - an reputed company reputed company is committed to fostering a workplace that promotes equal opportunities for reputed company. We firmly reputed company that cultivating a diverse workforce is crucial to our reputed company. Our recruitment reputed company are grounded in your experience and skills, recognizing the value you bring to reputed company. What reputed company Looks Like in Year One reputed company Why Join reputed company? reputed company Benefits reputed company Apply To This Job