About USEREADY

USEReady helps enterprises apply AI and agentic intelligence to improve decisions, automate operations, and build smarter, more autonomous business systems.

For more than a decade, we have built the foundations that make this possible by modernizing BI environments, migrating legacy platforms, improving data quality, and enabling governed, cloud-first architectures. These foundations now support the next step: AI-driven insights, automated intelligence, and agent-powered decision support that reduce complexity and accelerate outcomes.

We work closely with technology leaders such as AWS, Elementum, Snowflake, Tableau, Databricks, and others to help organizations modernize analytics, strengthen governance, and deploy agentic automation with confidence. We founded in 2011 and Headquartered in New York City with 450+ experts across the United States, Canada, India, and Singapore, we serve industries including financial services, healthcare, manufacturing, government, education, and retail. Our deep expertise, player-coach delivery model, and focus on fast, measurable results make us a trusted partner for building an AI-ready enterprise.

ML Engineer

We are seeking a talented AI/ML Engineer with 1-4 years of hands-on experience to join our growing AI team. The ideal candidate will have strong expertise in modern AI technologies, including Large Language Models (LLMs), AI Agents, and agentic frameworks. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems while ensuring robust Monitoring and Governance.

Key Responsibilities:

• Design and implement machine learning solutions using fundamental ML algorithms and advanced NLP techniques.

• Develop and optimize embedding models for semantic search, recommendation systems, and knowledge retrieval.

• Build production-grade AI Agents using frameworks such as LangChain, LangGraph,  OpenAI Agents SDK, etc.

• Architect and implement Retrieval-Augmented Generation (RAG) systems for enterprise applications

• Fine-tune Large Language Models for domain-specific use cases and performance optimization

• Integrate AI agents with enterprise systems, APIs, and data pipelines

• Implement comprehensive monitoring and observability using LangSmith, Langfuse, and similar governance frameworks

• Establish AI governance practices including guardrails, compliance checks, and ethical AI guidelines

• Collaborate with cross-functional teams to identify AI opportunities and translate business requirements into technical solutions

• Optimize model performance, latency, and cost-effectiveness in cloud environments.

• Conduct code reviews, write technical documentation, and mentor junior team members

• Strong experience with SQL databases and query optimization

• Hands-on experience with Snowflake for data warehousing and analytics