Forward Deployment Engineer

Weekday AI; Bengaluru; On-site; INR 2,000,000 - 8,000,000; Full time

Job summary

Weekday AI is seeking a Forward Deployment Engineer in Bengaluru to bridge prototype and production across engineering, product, AI, data, and business domains. The role emphasizes turning business problems into scalable AI-powered solutions, with hands-on work across AI/ML, GenAI, LLMs, data engineering, and enterprise integrations.

The ideal candidate will combine software engineering fundamentals with AI/ML expertise, work with stakeholders, and own solutions from discovery to deployment and

Qualifications

• 2+ years of professional software engineering experience
• Strong proficiency in at least one modern programming language (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 architecture
• Experience with cloud platforms (GCP, AWS, Azure)
• Familiarity with Git, CI/CD, automated testing, containers, and modern software practices
• Experience with Docker and/or Kubernetes is preferred

Responsibilities

• Work directly with business and product stakeholders to understand complex 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 design through deployment, adoption, and improvement.
• Build applications using modern languages such as Python, Java, TypeScript/JavaScript, Go, or C# and integrate AI/ML components.

Skills

AI/ML

Generative AI

LLM applications

AI agents

Data engineering

Python

Java

TypeScript

Go

C#

REST APIs

Microservices

Distributed systems

GCP

AWS

Azure

Docker

Kubernetes

CI/CD

Testing

Git

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related discipline

Tools

Docker

Kubernetes

Job description

This role is for one of the Weekly'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‑onForward Deployment Engineer to work at the intersection ofengineering, 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 inAI/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.

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, fromdiscovery and technical design through development, deployment, adoption, and continuous improvement.
• Build applications and services using modern programming languages such asPython, Java, TypeScript/JavaScript, Go, or C#.
• Develop and integrateAI/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, particularlyAI and GenAI, to meaningful business problems.
• Build cloud-native solutions using platforms such asGCP, 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 experiencewith hands‑on experience building production applications.
• Strong proficiency in at least one modern programming language such asPython, Java, TypeScript/JavaScript, Go, or C#.
• Strong hands‑on experience withAI/ML, Generative AI, LLM applications, AI agents, and/or data engineering or analytics.
• Experience designing and developingREST APIs, microservices, distributed systems, and enterprise integrations.
• Strong understanding of databases, data structures, system integration, and scalable application architecture.
• Experience with cloud platforms such asGCP, AWS, or Azure.
• Familiarity with Git, CI/CD, automated testing, containers, and modern software development practices.
• Experience withDocker and/or Kubernetesis 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 betweendiscovery, 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 onbusiness 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 inComputer Science, Engineering, Information Technology, or a related disciplineis preferred.