Forward Deployed Engineer

Ideal Candidate Profile:

• The ideal candidate is a business problem solver who can engineer solutions.
• They should be able to sit with a customer, understand the messy reality of the business, identify the actual problem beneath the stated problem, and quickly build something useful.
• They should not wait for perfect requirements. They should be curious, hands-on, structured, and outcome oriented.

Key Responsibilities

• Work closely with customers to understand business processes, pain points, operational bottlenecks, system landscape, data flows, and success metrics.
• Translate customer problems into technical solution designs, prototypes, MVPs, integrations, automations, or product configurations.
• Build hands-on solutions using modern engineering practices across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies.
• Develop proof-of-concepts and pilots that can demonstrate business value quickly and evolve into production-grade implementations.
• Integrate solutions with enterprise applications such as ERP, CRM, data platforms, workflow systems, collaboration tools, and third-party APIs.
• Partner with product, engineering, design, delivery, and customer success teams to convert repeated customer needs into reusable platform capabilities.
• Support customer deployments, testing, troubleshooting, user adoption, and handover to delivery or support teams.
• Create technical documentation, architecture notes, implementation playbooks, demo scripts, reusable components, and customer-specific solution guides.
• Act as the technical bridge between the customer and internal product/engineering teams.
• Identify opportunities for automation, AI adoption, data improvement, process redesign, and platform expansion.
• Bring back field learnings to influence product roadmap, engineering priorities, reusable accelerators, and go-to-market propositions.

Required Skills and Experience

• 3–8 years of experience in software engineering, solution engineering, implementation engineering, product engineering, technical consulting, or customer-facing technology roles .
• Strong software engineering fundamentals and hands-on experience in at least one major programming language such as Python, JavaScript/TypeScript, Java, C#, or Go.
• Good understanding of APIs, databases, cloud services, authentication, system integration, and application deployment.
• Ability to understand business workflows and convert them into clear technical designs.
• Experience building prototypes, MVPs, internal tools, dashboards, automations, or production grade applications.
• Comfortable working with structured and unstructured data.
• Strong problem-solving skills with the ability to navigate ambiguity and incomplete information.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Comfortable working in fast-moving customer environments where requirements evolve quickly.
• Strong ownership mindset and ability to take a problem from discovery to working solution.

Good to Have

• Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, or model integration.
• Experience integrating with enterprise systems such as Salesforce, SAP, Oracle, ServiceNow, Workday, Microsoft Dynamics, HubSpot, Jira, or similar platforms.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Familiarity with data engineering, ETL/ELT pipelines, BI dashboards, ana