# Forward Deployment Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-08

**Salary:** INR 1,500,000–2,300,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟯𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟱-𝟮𝟯 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a highly adaptable and hands-on **Forward Deployment Engineer** to work at the intersection of **engineering, product, and business**. The role is focused on taking technology from early concepts and prototypes to reliable production solutions that address real-world business problems.

The ideal candidate will combine strong software engineering skills with a practical, customer-focused mindset. You will work directly with stakeholders to understand complex challenges, rapidly build solutions, integrate them with existing systems, and take ownership through deployment, adoption, and continuous improvement.

## Requirements

Key Responsibilities

-   Work directly with business and product teams to understand complex problems and translate them into technical solutions.
-   Rapidly prototype, develop, integrate, and deploy production-quality applications and services.
-   Own solutions end-to-end, from **discovery and technical design through development, deployment, adoption, and continuous improvement**.
-   Work closely with stakeholders and operate near the business problem rather than functioning solely as a central engineering resource.
-   Integrate applications with existing **APIs, platforms, data sources, and enterprise systems**.
-   Design and develop reusable components, services, integrations, and engineering patterns that can scale across teams.
-   Participate across the full engineering lifecycle, including coding, testing, CI/CD, deployment, monitoring, and production support.
-   Diagnose and resolve technical issues in live production environments.
-   Collaborate with Architecture, Security, Platform, Infrastructure, and other technology teams to ensure enterprise standards are met.
-   Use data, experimentation, and stakeholder feedback to iterate rapidly and demonstrate measurable impact.
-   Identify opportunities where **AI, GenAI, LLMs, AI agents, and automation** can solve meaningful business challenges.
-   Document technical solutions, implementation approaches, and learnings to support broader adoption.
-   Contribute to engineering standards, development practices, and a strong culture of ownership and continuous improvement.
-   Balance speed, scalability, maintainability, and reuse when making technical decisions.

What Makes You a Great Fit

-   **2+ years of experience** in software engineering, application development, solutions engineering, or a related technical role.
-   Strong software engineering fundamentals with experience building and deploying **production applications**.
-   Strong proficiency in at least one modern programming language such as **Python, Java, TypeScript/JavaScript, Go, or C#**.
-   Strong hands-on experience with **AI/ML, Generative AI, LLM applications, AI agents, data engineering, or analytics**.
-   Experience designing and consuming **REST APIs, microservices, and distributed systems**.
-   Strong understanding of databases, data structures, application architecture, and system integration.
-   Experience working with cloud platforms such as **GCP, AWS, or Azure**.
-   Familiarity with **Git, CI/CD, automated testing, and modern software development practices**.
-   Understanding of observability, logging, monitoring, debugging, and production troubleshooting.
-   Experience working with **containers and/or Kubernetes**.
-   Comfortable working with ambiguity and converting loosely defined business problems into working technical solutions.
-   Ability to move quickly between **discovery, prototyping, production engineering, and deployment**.
-   Strong customer and stakeholder orientation with the ability to work directly with senior business and technical stakeholders.
-   Excellent communication skills and ability to explain complex technical concepts to non-technical audiences.
-   Strong problem-solving, debugging, and analytical capabilities.
-   Pragmatic engineering mindset with the ability to determine when to prototype quickly, engineer for scale, or reuse existing capabilities.
-   Strong ownership mindset focused on **business outcomes and measurable impact**, not just technical deliverables.
-   Experience in cloud-native development, API/platform integration, DevOps/SRE, financial services, regulated environments, enterprise transformation, or rapid innovation engineering will be an advantage.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/A14BDB8E7C/apply)

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