AI Engineer

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