Job Description – Forward Deployment Engineer (AI Solutions)

About Us:

Atlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, Atlas provides comprehensive range of solutions in the area of GRC, Technology, Procurement, Healthcare Provider and Oracle to customers across the globe. Combining our unparalleled experience of over a decade in the software industry and global reach, we have grown with extensive capabilities across industry verticals.

For more information, please visit our website https://www.atlassystems.com/

Please click on the link below to apply for this position:

https://atlas.bamboohr.com/careers/592

Job Title: Forward Deployment Engineer (AI Solutions)

Location: Bangalore (Work from Office / Hybrid as applicable)

Work Timing: IST Hours

Experience: 3+ Years

Engagement Type: Long-term / Multi-year (Contract / Full-time)

Position Summary

We are looking for a passionate Forward Deployment Engineer to build and deploy AI-powered software solutions that solve real business problems. This role combines customer engagement, full-stack software engineering, and AI application development to rapidly deliver production-ready solutions.

As a Forward Deployment Engineer, you will work closely with Solution Architects, customers, and cross-functional engineering teams to understand business requirements, develop AI-enabled applications, build rapid Proof of Concepts (PoCs), integrate Large Language Models (LLMs) into enterprise systems, and accelerate customer adoption using an AI-first development approach. You will also work on optimizing , securing & deploying the final solution for customer consumption.

Key Responsibilities

AI Solution Development

• Design, develop, and deploy AI-powered full-stack applications using modern software engineering practices.
• Build intelligent applications by integrating Generative AI, LLMs, AI Agents, Retrieval-Augmented Generation (RAG), semantic search, and workflow automation.
• Develop reusable APIs, services, and components that enable rapid AI solution delivery.
• Optimize AI application performance, scalability, security, and reliability.

Customer Engagement & Rapid Prototyping

• Work closely with Solution Architects and customers to understand business challenges and translate them into working software.
• Rapidly build Proof of Concepts (PoCs), prototypes, and Minimum Viable Products (MVPs) to validate AI use cases and demonstrate business value.
• Present solution capabilities to customers, gather feedback, iterate quickly, and help build customer confidence and commitment for production implementation.
• Configure, customize, and integrate AI solutions with enterprise applications and business workflows.
• Support customer deployments, testing, and production rollouts.

AI-First Software Engineering

• Leverage AI-assisted development tools and coding copilots to accelerate software delivery.
• Apply AI-first engineering practices across the Software Development Lifecycle (SDLC), including solution design, coding, testing, debugging, documentation, and automation.
• Develop scalable cloud-native applications using modern architectures, APIs, microservices, and event-driven design.
• Write clean, secure, maintainable, and well-tested code following engineering best practices.

Collaboration & Innovation

• Collaborate with product, architecture, cloud, DevOps, and QA teams to deliver high-quality AI solutions.
• Continuously evaluate and adopt emerging AI technologies, frameworks, tools, and engineering practices to improve solution quality and delivery speed.
• Contribute reusable components, accelerators, technical documentation, and best practices to enhance organizational capabilities.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 3–5 years of experience in full-stack software development.
• Hands-on experience building cloud-native web applications and APIs.
• Experience developing or integrating AI-powered applications using Large Language Models (LLMs) or Generative AI platforms.
• Strong analytical, problem-solving, and communication skills with the ability to work directly with customers and cross-functional teams.

Technical Skills

Programming

• Python, JavaScript/TypeScript, Java, C#, or Node.js
• React, Angular, or Vue.js
• REST APIs, GraphQL, and Microservices

Artificial Intelligence

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• LangChain, LangGraph, or similar orchestration frameworks
• OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI

Cloud & DevOps

• Microsoft Azure, AWS, or Google Cloud Platform
• Docker, Kubernetes (preferred)
• Git and CI/CD pipelines

Databases

• SQL, NoSQL, and Vector Databases

Core Competencies

• AI-First Software Development
• Full-Stack Engineering
• Rapid PoC & MVP Development
• Customer-Centric Problem Solving
• API & Enterprise System Integration
• Cloud-Native Application Development
• Collaboration & Ownership
• Strong Communication & Presentation Skills
• Quick Learner with a strong passion for experimenting with and adopting emerging technologies
• Growth mindset with the agility to rapidly learn new AI models, frameworks, tools, and engineering practices in a fast-evolving technology landscape

Success Measures

• Deliver high-quality AI-powered applications that solve customer business problems.
• Rapidly develop impactful PoCs and MVPs that demonstrate value and help secure customer commitment.
• Accelerate software delivery through AI-first engineering practices and modern development tools.
• Build reusable components that improve engineering productivity and solution quality.
• Continuously upskill and adopt emerging technologies to drive innovation and delivery excellence.
• Contribute to high customer satisfaction through quality implementation, responsiveness, and technical excellence.