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Company Overview:
We Reimagine Everything.
We are a multinational technology consulting firm. We help companies and corporations scale their operations, achieve technology innovation, elevate their brand and transform their business model.
We are here to challenge the status quo, flip the script, and blur all the lines in order to create customized end-to-end tech solutions, from software to hardware. We are a team of over 500 engineers from around the world with one shared goal: to leverage and crisscross technology, creative thinking, and industry-specific expertise to help our customers become and remain high performers in their industries. Basically, we take care of it all from A to Z.
Our expert engineers have contributed to 8 US patents and developed award-winning innovative tech solutions, serving 80M+ users for over 100 clients worldwide, including top US Fortune 500 companies.
Job Summary:
We are seeking a highly skilled and motivated Senior AI Engineer to lead the development and deployment of our next-generation LLM-powered services. This role is pivotal in shaping the design, scalability, and performance of our AI systems to deliver impactful, production-ready solutions.
The Key Responsibilities are:
Requirements:
Disclaimer:
We use Zoho Recruit and other AI tools to help review and organize job applications (for example, reading CVs, reorganizing, and extracting CV information). These tools are only used to assist our team.
No hiring decision is made solely by automated means; all applications are subject to human review and assessment.
Job ID: 139498787
Skills:
Azure ML, Java, Tensorflow, Hadoop, Kafka, AWS, Redis, Pytorch, Python, Docker, Jenkins, Git, PostgreSQL, MongoDB, Spark, MLflow, Kubeflow, Google AI Platform, Hugging Face, Scikit-learn, SageMaker, LangChain, DVC
Skills:
Nosql, Sql, Microservices, Tensorflow, Hadoop, Rest Apis, AWS, Pytorch, Python, Kubernetes, Azure, Docker, Gcp, Spark, scikit-learn, Hugging Face, OpenAI APIs, CI CD pipelines
Skills:
Tensorflow, Jax, System Design, Distributed Systems, Pytorch, Python, Spark, CI CD, Architectural Design, Ray, data pipelines, performance optimization, Monitoring, cloud-native AI ML services, distributed computing frameworks, model serving, scalable AI inference systems, MLOps best practices
Skills:
Scalability, MLops, cost efficiency, RAG pipelines, multimodal, latency, AI-Based evaluation methods, Reliability, ML AI solutions, LLM-based systems, AI techniques, cloud AI platforms, Python frameworks, embeddings, Agentic workflows, Monitoring, CI CD pipelines, GCP Vertex AI, AI system architecture
Skills:
Pytest, Python, CrewAI, LangGraph, multi-agent systems, AWS Bedrock, Strands, delegation patterns, Server-Sent Events, LangSmith, JSON-RPC 2.0