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ClosedPosted 26 days ago

Forward Deployed Engineer

Scrabble & Jigsaw

Where
Bengaluru, India

This posting closed on 2026-10-22.

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This job: posted 26 days ago

The posting

Forward Deployed Engineer

## Company Overview Not specified.

## Job Summary The Forward Deployed Engineer (FDE) plays a critical role in delivering customer-centric AI solutions by owning outcomes, integrating complex enterprise systems, and leading technical engagements. This role requires a blend of technical expertise, customer empathy, and leadership to ensure successful deployment and adoption of AI-driven products, ultimately contributing to the organization’s growth and customer satisfaction.

## Responsibilities - Own Customer Outcomes: Lead technical engagements with customers, ensuring successful deployment and operationalization of AI and agent-based systems, with a focus on delivering measurable business value. - Build and Maintain Agent Systems: Develop, fine-tune, and evaluate large language model (LLM)-powered or agent-based applications in production, understanding system failures, evaluation metrics, and optimization strategies. - Full-Stack Engineering: Design and implement solutions across the stack, including frontend dashboards, backend orchestration services, data pipelines, and deployment infrastructure, to support customer needs. - Enterprise System Integration: Integrate with enterprise systems such as SAP, Salesforce, Oracle, Snowflake, Databricks, or identity providers like Okta and Azure AD, ensuring robust, scalable, and compliant API connections. - Customer Engagement & Communication: Interact directly with customer stakeholders, including CTOs and operational teams, to gather requirements, provide technical guidance, and communicate progress and outcomes effectively. - Mentorship & Team Leadership: Lead small engineering teams, break down complex projects, set priorities, review code, and foster best practices to ensure high-quality deliverables.

## Qualifications - Experience: 3-7 years in software engineering, AI engineering, or applied machine learning, with at least 2 years in customer-facing roles owning outcomes. - Technical Education: Strong academic background in Computer Science, Engineering, or related fields; advanced degrees are a plus but not required. - AI & ML Systems: Hands-on experience building production agent systems, shipped at least one substantial LLM-powered or agent-based application in the last 18 months. - Full-Stack Engineering: Proficiency across frontend (TypeScript/JavaScript), backend, data engineering, and deployment infrastructure. - Programming Skills: Excellent Python skills, proficiency with ML frameworks like PyTorch, and familiarity with SQL, Bash, Docker, and Kubernetes. - Enterprise Systems Integration: Experience integrating with enterprise APIs (e.g., SAP, Salesforce, Snowflake) at an API depth, with a track record of production deployments. - Customer-Facing Maturity: Proven experience engaging directly with customers, managing expectations, and owning outcomes. - Domain Knowledge: Credible understanding of one or two industry domains such as healthcare, finance, logistics, or retail. - Leadership & Communication: Demonstrated ability to lead small teams, communicate effectively in writing and verbally, and foster collaboration.

## Preferred Skills - Experience with frameworks like LangGraph, LlamaIndex, or similar orchestration tools. - Familiarity with inference economics and model fine-tuning. - Experience with customer-facing applications using TypeScript/JavaScript. - Knowledge of enterprise security, compliance, and certification requirements. - Ability to handle non-determinism and system debugging in agent systems.

## Experience - 3 to 7 years of relevant experience in software/AI engineering. - At least 2 years in direct customer-facing roles, owning outcomes and managing stakeholder expectations. - Proven track record of shipping production AI applications, especially LLM-powered or agent-based systems.

## Environment - The role may involve in-office, remote, or hybrid work settings depending on the company's policies. - Work involves collaboration with cross-functional teams, customer engagement, and hands-on technical development. - The environment emphasizes a customer-centric, outcome-oriented approach with a focus on high-quality engineering practices.

## Salary Not specified.

## GrowthOpportunities Not specified.

## Benefits Not specified.

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