AI Platform & Agent Engineer

Acclive Inc.

Houston, TX, United States

25 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Microsoft Azure Profiling Information Systems Continuous Integration Information Engineering Extract Transform Load (ETL) Documentum Graph Database IBM Maximo

+30 more

Python (Programming Language) Knowledge Management Meta-Data Management Cloud Services Ansible SAP (Applications) Search Technologies Software Engineering Software Systems Systems Integration Web Application Frameworks Datadog Enterprise Software Applications GitHub Copilot ReactJS Large Language Models Multi-Agent Systems Generative AI AI Platforms AngularJS Infrastructure Automation Frameworks Information Technology Github Enterprise Data Management Web Technologies Industrial Software Automation Anywhere Devsecops Predix Databricks

Requirements

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.

About the company

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.