Senior Forward Deployment Engineer

Job not on LinkedIn

🕒 April 13

🗣️🇮🇳 Hindi Required

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of WEYA

WEYA

2 - 10 employees

Founded 2009

⚡ Energy

🏗️ Construction

Energy • Construction

WEYA is a company that designs and delivers complete installations powered by renewable energy for heat and electricity production. Their projects focus on sustainable design, innovation, and intelligent, efficient control. With more than 50 references in a few years, WEYA is structured to provide long-term support for clients and implement renewable energy systems.

📋 Description

• Lead end-to-end deployment of AI solutions at client sites, from requirement gathering to production rollout. • Act as the primary technical point of contact for enterprise customers during onboarding and delivery phases. • Translate business problems into technical solutions using AI models, APIs, and system integrations. • Design, develop, and maintain backend services and deployment pipelines using Go and Python. • Integrate third-party tools, platforms, and data sources using REST APIs, webhooks, and SDKs. • Customize AI workflows, prompts, and pipelines to meet client-specific use cases. • Debug, optimize, and monitor deployed systems to ensure reliability, performance, and scalability. • Collaborate with product, AI/ML, and engineering teams to provide client feedback and improve platform capabilities. • Prepare technical documentation, solution architecture diagrams, and deployment guides. • Support pre-sales efforts when required by providing technical demonstrations and solution design inputs.

🎯 Requirements

• 4+ years of experience in software engineering, delivery or forward deployment roles. • Strong proficiency in regional languages, especially Tamil/Telugu/Kannada. • Strong written, verbal, and active listening skills. • Strong hands-on coding experience in Go and Python. • Excellent understanding of AI/ML concepts, LLMs, AI agents, and production AI systems. • Proven experience working with APIs, system integrations, microservices, and cloud-based deployments. • Strong grasp of RESTful services, authentication methods, data pipelines, and event-driven systems. • Exceptional communication and client-handling skills – able to explain complex technical topics to non technical stakeholders. • Experience working directly with enterprise customers or external clients in delivery-focused roles. • Ability to work independently in fast-paced, ambiguous environments. • Willingness to travel to client sites (intra-city and inter-city), as required.

🏖️ Benefits

• Opportunity to work on cutting-edge AI deployments with real-world impact. • High ownership, visibility, and client interaction. • Fast-growing AI-first organization with strong learning opportunities. • Competitive compensation and growth-oriented career path.

Apply Now

Similar Jobs

🕒 April 9

3Pillar Global

1001 - 5000

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Senior DevOps Engineer at 3Pillar Global architecting cloud environments and enhancing automation frameworks. Mentoring peers and solving performance issues in a collaborative team.

AWS

Azure

Cloud

Google Cloud Platform

Grafana

Java

Kubernetes

Prometheus

Redis

Terraform

🕒 April 6

Ford Motor Company

10,000+ employees

🛡️ Insurance

🚘 Automotive

🏭 Manufacturing

DevSecOps Engineer focusing on Microsoft Entra ID security controls and multi-cloud environments. Designing secure automation pipelines and enforcing Zero Trust principles for enterprise cloud security.

🇮🇳 India – Remote

🔥 Funding within the last year

💰 $3G Post IPO debt on 2025-08

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

Ansible

Azure

BigQuery

Cloud

Google Cloud Platform

Kubernetes

Terraform

🕒 April 2

Selector

51 - 200

🤖 Artificial Intelligence

🔐 Security

🏢 Enterprise

DevOps/SRE ensuring reliability, scalability, and performance of an AIOps platform utilizing Kubernetes, Terraform, and CI/CD practices.

Ansible

Chef

Kubernetes

Linux

Node.js

Python

Terraform

🕒 April 1

Particle41

51 - 200

💼 Consulting

📣 Marketing

☁️ SaaS

DevOps Engineer managing GCP infrastructure and automation at Particle41. Collaborating with teams to enhance software delivery processes and ensure system reliability and security.

Ansible

Chef

Cloud

Docker

Google Cloud Platform

Kubernetes

Puppet

Python

Ruby

SQL

Terraform

🕒 April 1

TA

1 - 10

💼 Consulting

🤝 B2B

🏢 Enterprise

DevOps Specialist configuring CI/CD pipelines and managing deployments at Talent Anywhere. Utilize tools such as Gitlab, Jenkins, and AWS for process automation.

AWS

Docker

EC2

Jenkins

Linux

Python