Forward Deployment Engineer

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.