Top Tech Jobs & Startup Jobs

Develop custom software solutions using modern frameworks and agile practices. Design, code, enhance, and optimize scalable applications while collaborating across teams. Serve as a subject matter expert, make team decisions, solve complex technical problems, mentor colleagues, and implement software development best practices. The role requires at least five years of Large Language Model experience, with Python on Azure, Azure AI Foundry, and AI agent workflow integration preferred.

Develop and support custom software solutions for BlueYonder Warehouse Management projects. Responsibilities include software design, Java and MOCA development, system integrations, code reviews, documentation, troubleshooting, and database work using Oracle and SQL Server. The engineer collaborates with stakeholders across client projects using Agile methodologies and contributes to scalable application architectures, WMS configurations, REST integrations, and cloud-based solutions.

Designs, develops, and maintains data solutions, pipelines, and ETL processes across systems. Ensures data quality, supports data integration and migration, troubleshoots issues, and optimizes workflows. Collaborates with multiple teams, makes technical decisions, provides solutions, mentors junior members, and improves data processes. Requires AWS Architecture and AWS Glue expertise, along with experience in data modeling, database design, cloud services, data governance, and data quality.

Develop and support custom BlueYonder Warehouse Management software across client projects. Responsibilities include software design, Java and MOCA development, system integrations, code reviews, documentation, troubleshooting, and database work using Oracle, PL/SQL, and SQL Server. The role involves collaborating with stakeholders, applying Agile methodologies, designing scalable architectures, and supporting WMS DSS implementations involving PageBuilder, RF Forms, Integrator mappings, and algorithms.

Develop and support custom BlueYonder Warehouse Management software across client projects. Responsibilities include software design, Java and database development, system integrations, code reviews, troubleshooting, documentation, and scalable architecture. The engineer collaborates with stakeholders and delivery teams using Agile methodologies and works with MOCA, PageBuilder, RF forms, WMS Integrator, REST APIs, XML/XSLT, Oracle, SQL Server, and Azure.

Develops production-ready AI and machine learning applications using cloud AI services, generative AI, large language models, deep learning, NLP, chatbots, and image processing. Responsibilities include leading teams, making technical decisions, mentoring, collaborating across teams, designing scalable solutions, and improving processes. Requires expertise in LLMs, cloud AI integration, TensorFlow or PyTorch, NLP, and at least five years of experience.

Advise executives on commerce technology and customer experience transformation. Lead platform strategy, architecture workshops, technology roadmaps, business cases, enterprise solution design, integrations, and implementation guidance across commerce, marketing, data, content, analytics, and AI ecosystems. Support presales, proposals, estimations, client presentations, and thought leadership while guiding large-scale digital commerce initiatives.

Leads the design, development, configuration, and delivery of custom business applications using Microsoft Power Apps. Acts as a subject matter expert and primary stakeholder liaison, manages team decisions, coordinates cross-functional efforts, integrates systems, troubleshoots performance, and mentors junior team members while ensuring quality and timely project delivery.

Evaluate AI systems against ethical, responsible, and sustainability benchmarks. Design and implement mitigation strategies addressing bias, fairness, accountability, and other AI risks. Monitor system outputs, audit compliance with responsible AI standards, document findings, communicate recommendations, and collaborate with cross-functional teams. The role also involves contributing to technical solutions, participating in team discussions, serving as a subject matter expert, and mentoring junior team members.

Design, code, and enhance custom software components using modern frameworks and agile practices. Collaborate with cross-functional teams, improve performance and scalability, document processes, and mentor junior engineers while becoming an SME in Databricks-based solutions.