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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 role at Flexday involves designing, building, and deploying production-grade Agentic AI solutions for large enterprise clients across multi-cloud and multi-LLM environments, with emphasis on stakeholder engagement and cross-functional collaboration.

Responsibilities

Partner with client stakeholders, product owners, and business leads to capture requirements, shape scalable solutions, and communicate progress with clarity and credibility.
Design and deliver Agentic AI solutions suitable for enterprise-scale deployment.
Translate functional and business requirements into technical designs in collaboration with product and business teams.
Develop, test, and deploy AI components on AWS, Azure, or GCP.
Own features end to end, from development through production rollout.
Collaborate with remote, cross-functional global teams across multiple time zones.

Requirements

Strong written and verbal communication in English.
Proven ability to explain technical concepts to non-technical business stakeholders.
Experience facilitating workshops, leading solution walkthroughs, and aligning expectations with client sponsors.
Demonstrated ownership, accountability, and reliable follow-through.
Ability to operate independently in dynamic, ambiguous environments.
Solid understanding of AI agents, agentic workflows, and related 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 equivalent (professional or personal projects count).
Knowledge of evaluating, debugging, and productionizing agent behavior in enterprise settings.
Strongly preferred familiarity with Model Context Protocol servers and multi-agent orchestration patterns.
Experience with LLM and Generative AI workflows, including prompt engineering, retrieval-augmented generation, fine-tuning, and LLM integration.
Background in classical machine learning, feature engineering, model training, evaluation, and deployment.
Knowledge of computer vision concepts such as CNNs, detection, segmentation, vision transformers, or OCR.
2 to 5+ years of hands-on software development experience, primarily in Python.
Proven contribution to large-scale programs deployed in enterprise environments.
Understanding of full-stack development, REST APIs, and microservices.
Disciplined approach to code quality, testing, and documentation.
Hands-on experience developing and deploying on AWS or Azure; Google Cloud experience is a plus.
Experience working with large datasets and data pipelines.
Familiarity with Docker and Git.

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 blend strong communication and stakeholder management with hands-on experience in AI agents. The role requires presenting solutions to senior business sponsors, navigating ambiguous requirements with product managers, and building production-grade agentic workflows in code. A sense of ownership, continuous learning, and a genuine curiosity about the evolving agent ecosystem are essential. This position supports remote collaboration with global teams across the full development lifecycle, from discovery through production.

Location

Remote

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