Forward Deployed Engineer

CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations—combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.

Drive rapid execution and deployment of production-grade software solutions by working directly within customer environments, translating operational challenges into scalable systems, and ensuring measurable business impact through iterative engineering and delivery.

· Conduct observational discovery with operators and domain experts to understand real-world workflows and operational challenges
· Translate complex and fragmented business processes into scalable data models and production-ready systems
· Build and ship production-grade software solutions directly within customer problem spaces
· Utilize Hyper scaffolding and internal tooling to accelerate schema design and workflow modeling
· Identify recurring implementation patterns across deployments and collaborate with Delta teams to convert them into reusable platform capabilities
· Take ownership of customer outcomes, system adoption, and operational impact beyond task execution
· Execute iterative deployment cycles driven by live usage data and direct user feedback
· Work closely with cross-functional stakeholders to ensure solutions align with real operational requirements
· Contribute to continuous improvement of deployment frameworks, engineering practices, and delivery models

· 1 - 2 years of experience in software engineering or production system development
· Experience building production-grade applications using modern programming languages such as Python, Java, or Go
· Strong understanding of systems architecture and integrations across fragmented data environments
· Ability to work in ambiguous, fast-paced environments with evolving requirements
· Strong analytical and problem-solving skills with the ability to break down complex operational challenges
· Excellent communication and stakeholder collaboration skills
· Demonstrated ability to learn quickly and adapt across different customer environments

· Strong knowledge of:
o Production-grade software development
o System integrations and distributed architectures
o Data modeling and workflow orchestration
o API integrations and backend systems
· Familiarity with rapid development and scaffolding tools
· Understanding of operational workflows and enterprise system environments

· Experience working in customer-facing engineering or deployment roles
· Exposure to enterprise transformation or operational technology environments
· Familiarity with AI-native systems or intelligent workflow automation
· Experience collaborating across engineering and product teams to build scalable platform capabilities
· Demonstrated ability to drive execution in high-stakes operational environments
· Commitment to on-site collaboration and deep integration with client workflows

Work on mission-critical AI-powered systems with real operational impact
Build and deploy production-grade solutions directly in customer environments
Collaborate with highly skilled engineering and platform teams
Gain exposure to enterprise-scale deployments and execution strategies
Grow in a fast-paced culture focused on ownership, learning, and innovation
Contribute to scalable platform capabilities that power long-term transformation

We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply.

• Provident Fund
• Gym Membership
• Leaves as per the company policy
• Company-paid trips
• Easy Loan Facility for Employees
• Yearly increment
• Maternity Benefits (Leaves & WFH)
• Health Insurance (Maternity covered) – includes spouse and parents (till age 80)