Junior Forward Deployed Engineer (FDE)

Posted 12 Days Ago
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Bengaluru North, Yelahanka, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Cloud • Information Technology • Software • Consulting
The Role
Supports senior engineers and customers in translating business requirements into production-ready software. Builds integrations, data pipelines, workflow automations, APIs, microservices, cloud-native components, and AI/ML features using Python, React, Java, Angular, and MongoDB. Contributes to rapid prototyping, testing, CI/CD, DevOps, troubleshooting, reusable tooling, and customer communication. Requires 2–4 years of software engineering experience, with travel to customer sites as needed.
Summary Generated by Built In

Junior Forward Deployed Engineer (FDE) 

About the Role 

We are seeking a motivated and technically capable Junior Forward Deployed Engineer 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. 
  • Python and React experience is mandatory for building integrations, internal tools, and customer-facing applications. 
  • Build and deploy integrations, data pipelines, and workflow automations using JavaPythonReactAngularMongoDB, 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. 

Required Skills & Qualifications 

  • 2-4 years of professional software engineering experience; prior exposure to customer-facing, consulting, or solutions engineering work is a plus but not required. 
  • Solid experience with Python — back-end services, scripting, automation, and/or data pipeline development. 
  • Solid front-end skills in React — component architecture, state management (Redux/Context API), and testing. 

OR 

  • Working knowledge of Angular — modules, services, RxJS, and SPA development. 
  • Ability to contribute to distributed, cloud-native architectures with guidance from senior engineers. 
  • Some experience integrating AI/ML services into applications — including LLMs, vector databases, or ML model deployment (e.g., OpenAI API, LangChain, Hugging Face, TensorFlow, or PyTorch) — is a strong plus. 
  • Familiarity with prompt engineering and RAG (Retrieval-Augmented Generation) concepts is a plus. 
  • Working knowledge of MongoDB — schema design, aggregation pipelines, and indexing. 
  • Familiarity with cloud platforms (Azure, or OCI), Docker, and Kubernetes. 
  • Familiarity with CI/CD tooling (GitHub Actions, GitLab CI, etc.) and DevOps fundamentals. 
  • Comfortable working directly with customers — good communication and organizational skills, with an eagerness to learn. 
  • Willingness to travel to customer sites as needed. 

What We Offer 

  • Hands-on mentorship from senior FDEs and direct exposure to customer-facing engineering early in your career. 
  • A clear growth path toward more senior, independent FDE responsibilities. 
  • A fast-paced, high-ownership environment where you help shape both the product and how it's deployed. 
  • Competitive compensation and benefits. 
  • A collaborative team culture that values learning, autonomy, and customer impact. 

 




Skills Required

  • 2–4 years of professional software engineering experience
  • Solid Python experience in backend services, scripting, automation, or data pipelines
  • Solid React front-end experience, including component architecture, state management, and testing
  • Working knowledge of Angular, including modules, services, RxJS, and SPA development, as an alternative front-end skill
  • Ability to contribute to distributed, cloud-native architectures
  • Working knowledge of MongoDB, including schema design, aggregation pipelines, and indexing
  • Familiarity with Azure or OCI cloud platforms
  • Familiarity with Docker and Kubernetes
  • Familiarity with CI/CD tooling and DevOps fundamentals
  • Strong customer communication and organizational skills
  • Willingness to travel to customer sites as needed
  • Experience integrating AI/ML services, LLMs, vector databases, or model deployment
  • Familiarity with prompt engineering and Retrieval-Augmented Generation concepts
  • Prior customer-facing, consulting, or solutions engineering experience
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The Company
286 Employees
Year Founded: 2021

What We Do

Elfonze Technologies is a Bengaluru-based technology and engineering services company that helps organizations modernize enterprise operations. Its offerings include Oracle ERP and enterprise applications, cloud and DevOps services, digital transformation, product engineering, connected supply-chain solutions, AI platforms, cybersecurity, staff augmentation, and managed solutions. The company serves global clients through IT consulting, technology delivery, and specialized supply-chain expertise, emphasizing innovation, operational excellence, and business-process improvement.

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