Job Description

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.

Key Responsibilities

1. AI / Agentic AI Deployment & Integration

• Support deployment of AI-enabled solutions into production environments (cloud/on-prem).
• 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.

2. 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.

3. 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.

4. 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.

5. 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.

Required Qualifications

• 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

Preferred Qualifications

• 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