AI Platform & Agent Engineer

• Bachelor's degree in computer science, Data Science, Software Engineering, Information Systems, or related technical field.
• 5+ years of software engineering experience, including at least 2 years developing AI-enabled applications.
• Hands-on experience designing and implementing AI agents, agent orchestration frameworks, AI workflows, or LLM-powered applications.
• Experience developing full-stack applications using modern web technologies and APIs.
• Strong proficiency in Python and experience with modern frontend frameworks such as Angular or React.
• Experience building integrations with enterprise applications and services.
• Experience implementing Retrieval Augmented Generation (RAG), vector search, knowledge management, or semantic retrieval solutions.
• Experience with vector databases and practical understanding of graph databases and knowledge graphs.
• Strong understanding of data engineering concepts including ETL, data quality, profiling, cleansing, governance, and metadata management.
• Experience developing on Microsoft Azure, including services such as App Services, Functions, Storage, AI Foundry, Data Factory, Databricks, and related cloud services.
• Familiarity with secure application design, Responsible AI principles, and enterprise governance practices.
• Ability to independently drive technical work from concept through delivery.
• Excellent communication and stakeholder management skills.

Preferred :

• Experience designing and deploying multi-agent systems and agentic architectures in production environments.
• Experience building reusable AI platforms, AI accelerators, or enterprise AI foundations.
• Experience developing custom agent tools, skills, plugins, or MCP-enabled integrations.
• Experience with LLM evaluation frameworks, observability tooling, prompt testing, and model performance optimization.
• Experience with Azure AI Foundry, OpenAI services, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar frameworks.
• Experience with GitHub Enterprise, GitHub Copilot, Azure DevOps, CI/CD pipelines, Infrastructure as Code, and DevSecOps practices.
• Experience with Ansible automation and deployment frameworks.
• Knowledge of master data management, asset management, maintenance and reliability processes.
• Experience with SAP, Maximo, Predix, Smart Plant Instrumentation, Documentum, or related industrial systems.
• Experience working in manufacturing, energy, operations, supply chain, or other asset-intensive industries.
• Experience working in Agile product teams delivering enterprise-scale software solutions.
• Contribute to architecture and engineering best practices.

Accliive, is an IT Consulting Company working with Fortune 500 clients and is based out of Boston, MA. Accliive works extensively in all the major industries like BFSI, Oil and Gas, Utilities, Healthcare and many more. Acclive is focused on providing customer centric solutions and career centric solutions.