Hiring: AI Engineer Company: Xformics Inc Location: United States Job Posted Time: 2026-09-17 09:19:47 Employment Type: Remote Target Skills & Keywords : AWS, Airflow, Azure, Dagster, Databricks, Feature Store, Fine-tuning, GCP, Kafka, LLM, LangChain, MLOps, MLflow, Python, RAG, Random Forest, Snowflake, Spark, XGBoost, dbt, vLLM About the job Experience: •4-8 years of overall software/AI engineering experience, including 1.5+ years building LLM and Agentic AI systems that reached production users. •8 years of overall software/AI engineering experience, including 1.5+ years building LLM and Agentic AI systems that reached production users. Required Skills: •Design and build Agentic AI and multi-agent systems incorporating planning, reasoning, routing, memory, state management, and multi-step task execution. •Design, develop, and optimize LLM prompts to improve accuracy, reliability, and business outcomes. •Build agent workflows incorporating tool/function calling, structured outputs, routing and handoffs, retries, fallbacks, and human-in-the-loop patterns. •Develop and integrate MCP (Model Context Protocol) tools and agent-callable tools to connect AI agents with enterprise systems, APIs, databases, and data sources. •Design and implement RAG solutions, including chunking, embeddings, vector databases, retrieval, reranking, grounding, and context orchestration. •Build evaluation frameworks, evaluation sets, regression tests, and prompt-testing methodologies to measure and improve agent performance, quality, and reliability. •Implement guardrails, security controls, observability, tracing, and monitoring for production AI agents. •Optimize AI systems for cost and latency through model selection/routing, caching, batching, streaming, asynchronous execution, token management, and context management. Qualifications: •Strong proficiency in Python, including experience developing production-quality AI/software solutions. •In-depth knowledge of agent concepts including planning and reasoning, tool/function calling, structured outputs, memory, state management, routing/handoffs, and multi-step execution. •Applied hands-on capability in MCP servers/tools, tool integration, API orchestration, or enterprise system connectivity. •Understanding of AI guardrails, security, compliance, governance, and responsible AI practices. •Strong problem-solving, analytical, communication, and collaboration skills. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!