Forward Deployed Software Engineer
Summary
Forward Deployed Software Engineer at Adé AI (via Expertshub.ai) working hybrid in NYC to architect and develop high-scale full-stack systems, collaborate cross-functionally with product/design/QA/ops, and deliver customer-facing AI applications using Python/Java/React, AWS, Docker/Kubernetes, and LLM/RAG technologies.
Role Summary
Join us as a Forward Deployed Software Engineer at Adé AI, where you will play a pivotal role in driving innovative solutions within the Information Technology industry. Your expertise will contribute to the development of cutting-edge applications that enhance our customer-facing delivery. This position offers a unique opportunity to work in a hybrid environment, collaborating with cross-functional teams to deliver impactful projects.
Responsibilities
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Architect and develop high-scale systems and applications that meet complex user needs, ensuring performance and scalability.
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Collaborate with engineering leadership to define the technical roadmap and contribute to strategic initiatives that align with business goals.
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Lead cross-functional projects, engaging with multiple stakeholders to ensure seamless execution and delivery of software solutions.
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Mentor and guide junior and mid-level engineers, fostering their growth through code reviews and knowledge-sharing sessions.
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Conduct technical interviews and actively participate in hiring processes to build a strong engineering team.
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Champion best practices in software development, emphasizing code quality and maintainability.
Ways of Working
You will operate in a hybrid work mode, allowing for flexibility while ensuring effective collaboration with your team members and stakeholders. This role is designed for individuals who thrive in dynamic environments and are committed to delivering exceptional software solutions.
Collaboration & Communication
Your role will require you to partner closely with product management, design, QA, and operations teams. Effective communication is essential as you clarify project requirements, manage timelines, and address potential risks. You will maintain a log of decisions and communicate impacts to ensure transparency across the board.
Growth Signals
This position offers ample opportunities for professional development. You will have the chance to lead greenfield projects, influence engineering culture, and contribute to strategic planning processes. Your contributions will shape the direction of products used by numerous enterprises.
Must-Haves
- API Design and Development, Agile Coaching, Agile Project Management, Architectural Design, Business Process Mapping, CI/CD, Client Engagement, Cloud Computing (AWS), Cloud Security Practices, Data Analysis, Data Integration, Data Modeling, Data Pipeline Development, Data Warehousing, Django, Docker, Flask, Full Stack Development, Gap Analysis, JIRA, Java, JavaScript, Kubernetes, Mentoring Junior Engineers, Microservices Architecture, Postman, Project Leadership, Python, RESTful APIs, React.js, Requirements Gathering, SQL, Stakeholder Management, Strategic Planning, Systems Integration, Team Leadership, Technical Documentation, Terraform, Version Control (Git), Large Language Models (LLM), Retrieval-Augmented Generation (RAG)
Nice-to-Have Skills
- Advanced Python, Advanced SQL, Agile Methodology, Azure, Basic DevOps Practices, Basic HTML/CSS, Basic Linux Commands, Business Intelligence Tools, Business Model Innovation, Change Management, Communication, Documentation, Excel, GraphQL, Machine Learning Basics, MongoDB, Performance Tuning, Power BI, Process Automation, Salesforce, Tableau, Team Collaboration, Technical Training, User Experience (UX) Principles
Engagement & Compensation
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Employment Type: Freelance
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Openings: 2 positions available.
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Work Mode: Hybrid
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Location: New York City, New York, United States
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Experience: Experience: 1 to 5 years
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Compensation: $125K–$185K annually
Additional Comments
Client: Adé AI. Compensation: $125K–$185K annual. Must have: software/full-stack engineering, data engineering, LLM/RAG, AI/ML, React, and customer-facing delivery. Nice to have: production monitoring, system design, work with unstructured data, and startup experience. Relevant industries include government, manufacturing, and services.