# Forward Deployment Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-29

**Salary:** INR 2,000,000–8,000,000

**Workplace:** on_site

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

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟴𝟬 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Bengaluru, Karnataka, India, Bengaluru

Job Type: Full-time

We are looking for a highly hands-on **Forward Deployment Engineer** to work at the intersection of **engineering, product, AI, data, and business**. The role focuses on taking technology from prototype to production by understanding real-world business problems, rapidly developing solutions, integrating them with enterprise systems, and deploying them into production environments.

The ideal candidate combines strong software engineering fundamentals with expertise in **AI/ML, Generative AI, LLM applications, AI agents, and data engineering or analytics**. You should be comfortable operating in ambiguous environments, working directly with stakeholders, and taking ownership of solutions from discovery through deployment, adoption, and scale.

## Requirements

Key Responsibilities

-   Work directly with business and product stakeholders to understand complex, ambiguous problems and translate them into technical solutions.
-   Rapidly prototype, develop, integrate, and deploy production-quality applications and AI-powered solutions.
-   Own solutions end-to-end, from **discovery and technical design through development, deployment, adoption, and continuous improvement**.
-   Build applications and services using modern programming languages such as **Python, Java, TypeScript/JavaScript, Go, or C#**.
-   Develop and integrate **AI/ML, Generative AI, LLM applications, AI agents, and data-driven solutions**.
-   Design and consume REST APIs, microservices, distributed systems, and enterprise integrations.
-   Integrate applications with existing platforms, APIs, databases, data sources, and enterprise systems.
-   Develop reusable services, components, frameworks, and engineering patterns that can scale across teams.
-   Work across the complete 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 DevOps teams to ensure enterprise standards are met.
-   Use experimentation, data, and stakeholder feedback to validate solutions and iterate rapidly.
-   Identify opportunities to apply emerging technologies, particularly **AI and GenAI**, to meaningful business problems.
-   Build cloud-native solutions using platforms such as **GCP, AWS, or Azure**.
-   Document technical solutions, implementation approaches, learnings, and reusable patterns.
-   Help transition successful prototypes into scalable and maintainable production capabilities.
-   Contribute to engineering standards, development practices, and a culture of ownership and continuous improvement.

What Makes You a Great Fit

-   **2+ years of professional software engineering experience** with hands-on experience building 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, and/or data engineering or analytics**.
-   Experience designing and developing **REST APIs, microservices, distributed systems, and enterprise integrations**.
-   Strong understanding of databases, data structures, system integration, and scalable application architecture.
-   Experience with cloud platforms such as **GCP, AWS, or Azure**.
-   Familiarity with Git, CI/CD, automated testing, containers, and modern software development practices.
-   Experience with **Docker and/or Kubernetes** is preferred.
-   Strong understanding of observability, logging, monitoring, debugging, and production troubleshooting.
-   Comfortable working with ambiguity and turning loosely defined business problems into working technical solutions.
-   Ability to move quickly between **discovery, prototyping, engineering, and production deployment**.
-   Strong customer and stakeholder orientation with the ability to work directly with senior technical and business stakeholders.
-   Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences.
-   Pragmatic engineering mindset with the ability to balance speed, scalability, reuse, and long-term maintainability.
-   Strong ownership mindset focused on **business outcomes and measurable impact**, not only technical deliverables.
-   Experience in financial services, regulated industries, enterprise transformation, DevOps/SRE, rapid prototyping, or cloud-native development would be an advantage.
-   Bachelor’s or Master’s degree in **Computer Science, Engineering, Information Technology, or a related discipline** is preferred.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/9EB532529D/apply)

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