Forward Deployment Engineer (AI / Agentic AI | Agile Delivery)

We are hiring Forward Deployment Engineers (FDEs) to bridge the gap between AI innovation and real-world implementation. In this role, you will work at the intersection of engineering, product, and agile delivery, helping deploy AI-powered and agentic systems into enterprise workflows. You will support the transition of AI solutions (including agent-based systems) from prototype to production-integrating with data, systems, and operational processes-while continuously adapting solutions based on real-world feedback., * Assist in implementing agentic workflows (multi-step, goal-driven AI systems) that interact with tools, APIs, and enterprise systems.

• Integrate AI applications with data sources, business workflows, and operational systems.
• Validate outputs for accuracy, reliability, and business alignment before and after deployment.

1. Agile Engineering & Delivery * Work within Agile/Scrum teams, contributing to sprint planning, daily stand-ups, and retrospectives. * Translate user stories into technical tasks and support iterative development cycles. * Collaborate closely with product managers, designers, and engineers to deliver increments of value. * Participate in rapid prototyping and fail-fast experimentation cycles for AI use cases.

2. Testing, Monitoring & Continuous Improvement * Test AI workflows (including agent behavior) under real-world scenarios. * Identify edge cases, failure modes, and integration issues; support fixes and improvements. * Assist in setting up basic monitoring (logs, alerts, performance metrics). * Contribute to improving repeatability through templates, accelerators, and automation scripts.

3. Responsible AI & Governance * Support implementation of guardrails and control mechanisms for AI/agentic systems (e.g., validation checks, human-in-the-loop workflows). * Ensure solutions adhere to data security, compliance, and audit requirements. * Participate in evaluation processes to monitor output quality, reliability, and ethical considerations.

4. Documentation & Knowledge Transfer * Create and maintain deployment runbooks, integration documentation, and troubleshooting guides. * Document agent behavior, workflows, and decision logic to ensure transparency and audit-readiness. * Support handover of stabilized deployments to support or operations teams.

Do you have experience in SQL?, * Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field

• Strong fundamentals in one programming language (Python / Java / JavaScript)
• Understanding of APIs, debugging, and system integration
• Basic knowledge of data handling (SQL, JSON, CSV)
• Strong problem-solving and communication skills, * Exposure to AI / Generative AI concepts (prompting, retrieval-based workflows, automation)
• Familiarity with Agile frameworks (Scrum/Kanban)
• Internship or project experience in:
• Cloud platforms (Azure/AWS/GCP)
• APIs and integrations
• Data pipelines or automation workflows
• Awareness of software engineering best practices (version control, testing)

Key Skills & Competencies

• Problem-solving under ambiguity
• Agile execution & adaptability
• Curiosity and learning agility (especially in AI/automation)
• Cross-functional collaboration
• Customer-centric thinking