AI Engineer

The AI Engineer at Flexday is a remote role focused on designing, building, and deploying production-grade Agentic AI solutions for large enterprise clients across multi-cloud and multi-LLM environments. The position emphasizes stakeholder management and cross-functional collaboration within fast-moving, enterprise settings.

Responsibilities

• Collaborate with client stakeholders, product owners, and business leads to elicit requirements, shape solutions, and provide clear, credible status updates
• Design and deliver enterprise-scale Agentic AI solutions that operate in production
• Translate functional and business requirements into technical designs in partnership with product and business teams
• Develop, test, and deploy AI components on AWS, Azure, or GCP
• Take end-to-end ownership of features from development through production readiness
• Work with remote, cross-functional teams across multiple time zones to align on progress and milestones

Requirements

• Excellent written and verbal English communication skills
• Ability to explain technical concepts to non-technical business stakeholders
• Experience facilitating working sessions, leading solution walkthroughs, and managing sponsor expectations
• Strong ownership, accountability, and follow-through
• Ability to operate independently in ambiguous, fast-moving environments
• Solid knowledge of AI agents, agentic workflows, and patterns such as tool use, planning, memory, and multi-agent orchestration
• Hands-on experience building agents using frameworks like LangGraph, LangChain, OpenAI Agents SDK, Semantic Kernel, or equivalents
• Ability to evaluate, debug, and productionize agent behavior in enterprise settings
• Familiarity with Model Context Protocol (MCP) servers and multi-agent orchestration patterns is strongly preferred
• LLM and Generative AI expertise including prompt engineering, retrieval augmented generation, fine-tuning, and LLM integration
• Machine Learning experience covering classical ML, feature engineering, model training, evaluation, and deployment
• Computer Vision experience with CNNs, detection, segmentation, vision transformers, or OCR
• 2 to 5+ years of hands-on software development experience, primarily in Python
• Proven contributions to large-scale programs deployed in enterprise environments
• Understanding of full-stack development, REST APIs, and microservices
• Discipline in code quality, testing, and documentation
• Hands-on experience deploying on AWS or Azure, with GCP as a plus
• Experience working with large datasets and data pipelines
• Familiarity with Docker and Git
• Education: Bachelor’s or Master’s degree

Technologies

• AWS, Azure, GCP
• LangGraph, LangChain, OpenAI Agents SDK, Semantic Kernel
• Model Context Protocol (MCP) servers
• Pinecone, Weaviate, Qdrant, pgvector
• Databricks, PySpark, Microsoft Fabric
• Synapse, Docker, Git
• Python, REST APIs, OpenAI
• Amazon Bedrock, Amazon Bedrock AgentCore
• Microsoft Copilot, Copilot Studio, Azure OpenAI, Azure AI Foundry
• Google Vertex AI

About the Role

Flexday seeks engineers who combine strong communication and stakeholder management with hands-on expertise in AI agents. The role requires comfort presenting solutions to executive sponsors, navigating ambiguous requirements with product managers, and delivering production-grade agentic workflows in code. A strong sense of ownership, a commitment to continual learning, and genuine curiosity about the evolving agent ecosystem are essential.

As a member of the Flexday AI team, you will design, build, and deploy Agentic AI solutions for large enterprise clients in a multi-cloud and multi-LLM environment. You will collaborate with global teams across the full development lifecycle, from discovery through production, to deliver scalable, enterprise-grade AI capabilities.