Engineering role focused on customer-facing software deployment with hands-on coding.

About the Company

Elfonze Technologies is an IT services company that helps organizations accelerate their digital transformation by deploying cutting-edge, scalable software solutions. With a strong focus on customer success and technical excellence, Elfonze partners with enterprises to build, deploy, and maintain production-ready systems that solve real-world business challenges. The company fosters a culture of mentorship, ownership, and continuous learning, providing engineers with the opportunity to work on impactful projects from day one.

Role Overview

We are seeking a motivated and technically capable Junior Forward Deployed Engineer (FDE) to work alongside our customers and senior FDEs, helping design, build, and ship solutions on top of our platform. This is a hands-on, customer-facing engineering role where you'll get exposure to rapid prototyping, full stack development, and real-world problem-solving as you help turn customer requirements into production-ready software.

You will support customer engagements alongside more senior team members, contributing to integrations, translating requirements into working code, and iterating quickly based on customer feedback, while building the skills to run engagements more independently over time. If you enjoy solving real-world problems, want early exposure to customer-facing engineering, and are energized by a fast-paced, high-ownership environment — we want to hear from you.

Key Responsibilities

Customer Deployment & Solutioning

• Work alongside senior FDEs and customers to understand workflows, data, and business goals, and help translate those needs into technical solutions built on our platform.
• Build and deploy integrations, data pipelines, and workflow automations using Java, Python, React, Angular, MongoDB, and AI/ML integrations, under the guidance of senior team members.
• Contribute to rapid prototyping efforts with customers, iterating in tight feedback loops to move from concept to working demo quickly.
• Support the integration of AI/ML capabilities into customer deployments, including LLM-powered features (OpenAI, Anthropic, or open-source models), recommendation engines, and automation pipelines.
• Help design and implement RESTful APIs, microservices, and cloud-native components for customer environments.
• Provide day-to-day technical support to customers post-deployment, troubleshooting issues and escalating complex problems to senior engineers as needed.

Technical Execution & Quality

• Write clean, well-tested code under real deployment timelines and shifting requirements.
• Follow and help reinforce testing strategies, CI/CD practices, and DevOps standards across deployed solutions.
• Flag technical debt, performance bottlenecks, and potential security issues in customer environments to senior engineers.
• Contribute to reusable components and internal tooling that speed up future customer deployments.

Cross-Functional Collaboration

• Act as a day-to-day technical point of contact for customers, escalating to senior FDEs or product management when needed.
• Share field learnings and customer feedback with the product team to help inform the roadmap.
• Communicate project progress and technical updates clearly to both technical and non-technical stakeholders.
• Collaborate closely with senior FDEs, product, and engineering to deliver successful customer outcomes.

Tech Stack

• Python (back-end services, scripting, automation, data pipelines)
• React (component architecture, state management - Redux/Context API)
• Angular (modules, services, RxJS, SPA development)
• Java (for integrations and microservices)
• MongoDB (schema design, aggregation pipelines, indexing)
• AI/ML (OpenAI API, Anthropic, LangChain, Hugging Face, TensorFlow, PyTorch, prompt engineering, RAG)
• Cloud Platforms (Azure, OCI)
• DevOps/Infrastructure (Docker, Kubernetes, CI/CD - GitHub Actions, GitLab CI)

2-4 years of professional software engineering experience. Solid experience with Python (back-end services, scripting, automation, data pipelines). Solid front-end skills in React (component architecture, state management, testing) OR working knowledge of Angular (modules, services, RxJS, SPA development). Ability to contribute to distributed, cloud-native architectures. Some experience integrating AI/ML services (LLMs, vector databases, ML models) is a strong plus. Familiarity with prompt engineering and RAG concepts is a plus. Working knowledge of MongoDB. Familiarity with cloud platforms (Azure, OCI), Docker, and Kubernetes. Familiarity with CI/CD tooling and DevOps fundamentals. Comfortable working directly with customers. Good communication and organizational skills. Willingness to travel to customer sites as needed.

Hands-on mentorship from senior FDEs, direct exposure to customer-facing engineering, clear growth path, competitive compensation, collaborative team culture.