Forward deployed engineer Jobs

Forward Deployed Engineer
InfoScapeHub —Remote
- ₹373.10 - ₹1,586.67 an hour
- Part-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Remote
- Remote
- Azure
- Computer Science
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Forward Deployed Engineer
Hiver —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Master's degree
- JavaScript
- APIs
Quick apply
2d
Founding Forward Deployed Engineer (India)
Cartesia —Bengaluru, Karnataka
- ₹70,00,000 - ₹90,00,000 a year
- Full-time
- English
- AWS
- Computer networking
- Health insurance
- Paid time off
Forward Deployed Engineer
Procedure —Remote
- Full-time
- Remote
- APIs
Forward Deployed Engineer-AI/ML
Aivar Innovations —Bengaluru, Karnataka
- ₹20,00,000 - ₹50,00,000 a year
- Full-time
- Hybrid work
- Java
- Master's degree
- AWS
Quick apply
Lead Forward Deployed AI Engineer, India - BCG X
Boston Consulting Group —Mumbai, Maharashtra
- Full-time
- Azure
- SQL
- AWS
Forward Deployed Engineer - II
Meesho —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
12d
Senior Engineer - Forward Deployed Engineer
Cognizant —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Databases
- JavaScript
- AI
Forward Deployed Engineer
Happyrobot Inc. —Chennai, Tamil Nadu
- Full-time
- Remote
- Master's degree
- Project management
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Forward Deployed Engineer, Transformation
Kinaxis Inc. —Bengaluru, Karnataka
- Full-time
- Master's degree
- APIs
- AI
4d
Forward Deployed Software Engineer - Dubbing Platform
Sarvam —Bengaluru, Karnataka
- Full-time
- Azure
- APIs
- Linux
Quick apply
Forward Deployed Engineer
Gnani Innovations —Bengaluru, Karnataka
- Master's degree
- APIs
- AI
Forward Deployed Engineer (FDE)
Avaamo —Koramangala, Bengaluru, Karnataka
- Computer Science
- B.Sc
- Master's degree
Staff Forward Deployed AI Engineer
Turing —Bengaluru, Karnataka
- Azure
- Master's degree
- SQL
- Flexible schedule
Quick apply
12d
Forward Deployed Engineer (ROS2) – US
9series —Remote
- Full-time
- Remote
- Azure
- Computer Science
- B.Sc
Forward Deployed Engineer - AI/ML
Aivar Innovations —Bengaluru, Karnataka
- Java
- Master's degree
- AWS
Quick apply
6d
Forward Deployed Engineer
India —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Software troubleshooting
- English
- Health insurance
- Paid time off
Quick apply
AI Developer & Forward Deployed Engineer
Finiteloop —Bengaluru, Karnataka
- From ₹8,00,000 a year
- Full-time
- Azure
- Databases
- AWS
Quick apply
ML Engineer (Forward Deployed)
Applied Computing —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Databases
9h

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Forward Deployed Engineer

InfoScapeHub
Remote

Quick apply

Job details

Part-time | Contractual / Temporary
₹373.10 - ₹1,586.67 an hour

Qualifications

CI/CD
Azure
Computer Science
Kubernetes
Full-stack development
Software deployment
DevOps
System design
English
AWS
Analysis skills
Docker
Cloud development
JavaScript
Distributed systems
Continuous integration
UX
APIs
UI
Business requirements
SaaS
AI
Communication skills
Python
Debugging

Full job description

Company: Drytis

Type: Remote Contract Position (Independent Contractor / Freelancer)

About Drytis

Drytis is a forward-thinking technology company specializing in AI-powered coding solutions that bridge the gap between clients and technology. We’re building a dynamic, on-demand engineering platform that delivers immediate, expert software engineering support to help clients complete the last mile of their application development.

We thrive on innovation, agility, and real-world problem-solving. Our team of AI and software specialists works directly with clients to provide hands-on technical guidance and coding support in a cloud-based development environment.

Role Overview

As a Forward Deployment Engineer (FDE) at Drytis, you will work directly with customers to design, deploy, and operationalize solutions in real-world environments. You will bridge the gap between product, system design, and customer needs, ensuring seamless deployments and intuitive user experiences.

This role requires a strong mix of engineering, system design, UI/UX thinking, AI experience, customer-facing and excellent communication while working closely with clients.

Key Responsibilities

Customer Deployment & System Design

Design and deploy scalable solutions based on customer requirements.
Define system architecture, integrations, and infrastructure setup.
Ensure efficient, reliable, and production-ready deployments.

Solution Implementation

Customize solutions based on customer workflows and business needs.
Integrate APIs, messaging platforms, and third-party systems.
Ensure performance, security, and scalability of deployed systems.

UI/UX & Product Experience

Collaborate with clients to design intuitive, user-friendly interfaces.
Improve user workflows and overall product experience.
Translate customer requirements into usable and efficient product designs.

AI & Automation

Leverage LLMs, prompt engineering, and AI tools to enhance solutions.
Integrate AI-driven features into applications and workflows.
Use AI-assisted development to accelerate delivery and problem-solving.

Customer Collaboration

Work closely with clients to understand technical and business requirements.
Act as a customer-facing engineer, providing consultation and guidance.
Translate requirements into scalable and deployable solutions.

Troubleshooting & Support

Diagnose and resolve technical and deployment issues quickly.
Ensure stability and performance of deployed systems.
Support clients during onboarding and early adoption phases.

Product Feedback & Documentation

Identify customer pain points and share feedback with product teams.
Improve deployment processes, playbooks, and best practices.
Maintain clear documentation for deployments and system design.

Required Qualifications

Degree in Computer Science, Artificial Intelligence, or related field (or equivalent experience).
Strong programming skills in Python, JavaScript, or similar languages.
Experience with system design, architecture, and scalable applications.
Hands-on experience with UI/UX principles and user-centric design.
Experience with LLMs, prompt engineering, and AI-assisted development tools.
Experience with cloud platforms (GCP, AWS, Azure).
Knowledge of APIs, integrations, and distributed systems.
Familiarity with Docker, Kubernetes, and CI/CD pipelines.
Understanding of full-stack development (frontend, backend, deployment).
Strong problem-solving, debugging, and analytical skills.
Excellent English communication and client-handling skills.

Preferred Skills

Experience in customer-facing engineering roles.
Background in DevOps, platform engineering, or SaaS deployments.
Experience deploying AI platforms or automation systems.
Familiarity with messaging platforms (e.g., WhatsApp APIs).
Strong sense of product thinking and user experience design.

Work Environment

Fully remote and flexible work setup.
Ability to work independently in a fast-paced environment.
Reliable internet connectivity for uninterrupted client sessions.
Requires strong ownership and independent working capability.

What Makes This Role Unique

Combines engineering, system design, UI/UX, and AI in one role.
High exposure to real customer problems and real-world deployments.
Opportunity to directly influence product and user experience.
Work with cutting-edge AI tools and fast-moving environments.

How to Apply

Interested candidates should submit:

An up-to-date resume.
A brief note outlining relevant experience with AI coding tools, full-stack deployment, client-facing work, and why this role interests you.
We look forward to connecting with you and exploring how you can contribute to Drytis and our clients’ success.

Learn more and apply at

Job Type: Part-time

Pay: ₹373.10 - ₹1,585.67 per hour

Expected hours: 40 per week

Application Question(s):

Do you have customer facing experience?
How do you rate your communication skill out of 5 ?

Work Location: Remote

Pay: ₹373.10 - ₹1,586.67 per hour

Work Location: Remote

Quick apply

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