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3d ago

AI Engineer

Flexday Remote 🌍 Remote

Remote

3d ago

Full time Agentic Ai Ai Agents Ai Workflows

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Job Description

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.

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