Recro
Website:
recro.io
Job details:
About the Role
We’re hiring a Forward Deployed Engineer (FDE) to work at the intersection of engineering and customer delivery — translating enterprise business problems into production-ready AI deployments.
This is not a back-office engineering role. You’ll work directly with banking operations leaders, insurance product managers, and fintech engineering teams to understand workflows, design AI-powered solutions, build integrations, and own deployments from pilot to production.
One week, you might be designing a multilingual collections voice agent for a major bank, configuring conversation flows, and integrating with their CRM. The next, you could be troubleshooting a live data pipeline issue, optimizing AI containment rates using production conversation logs, or leading a technical workshop with a client’s engineering team.
This role requires equal parts technical depth and customer instinct. You’ll write code, build integrations, configure AI workflows, and troubleshoot production systems — while also communicating clearly with stakeholders and developing a deep understanding of BFSI operations and workflows.
What You’ll Do
Enterprise Implementations
- Own customer deployments end-to-end — from business discovery and solution design to pilot execution and production rollout
- Understand enterprise workflows and identify opportunities for AI-driven automation and operational efficiency
- Translate business requirements into scalable technical implementations
AI Workflow & Automation
- Configure AI workflows including prompts, conversation flows, routing logic, fallback handling, escalation paths, and automation rules
- Design customized AI use-cases across collections, customer service, compliance, and sales workflows
- Continuously optimize workflows based on production insights and operational metrics
Integrations & Engineering
- Build integrations with CRMs, ticketing systems, dialers, internal APIs, databases, and enterprise tools
- Develop integration workflows using Python, REST APIs, webhooks, SFTP/S3, and batch ingestion pipelines
- Handle data transformation, synchronization, and automation across systems
Production Support & Troubleshooting
- Debug live production issues by analyzing logs, tracing data flows, and identifying root causes
- Monitor deployment health and improve operational performance metrics such as containment, accuracy, and efficiency
- Collaborate with product and engineering teams to drive issue resolution and platform improvements
Customer-Facing Technical Ownership
- Act as the technical lead during implementations and deployments
- Run workshops, demos, onboarding sessions, and troubleshooting calls with client engineering and operations teams
- Communicate technical concepts effectively to both technical and non-technical stakeholders
Product Feedback & Platform Improvements
- Identify recurring implementation patterns and customer pain points
- Share deployment learnings with product and engineering teams to improve platform capabilities and reusable accelerators
What We’re Looking For
Must-Haves
- 3–5 years of experience in software engineering, solutions engineering, technical consulting, implementation engineering, or related technical roles
- Strong Python skills with hands-on experience building scripts, integrations, and production workflows
- Experience working with REST APIs, webhooks, OAuth, and token-based authentication
- Familiarity with SFTP, S3, batch ingestion pipelines, and data connectivity workflows
- Strong debugging and troubleshooting skills in production environments
- Excellent communication and stakeholder management abilities
- Ability to translate between business and engineering teams effectively
- Ownership mindset with a strong focus on customer success and problem resolution
Strong Signals (Not Mandatory)
- Experience in client-facing technical roles such as:
- Forward Deployed Engineer
- Solutions Engineer
- Implementation Engineer
- Technical Consultant
- Exposure to conversational AI, voice AI, workflow automation, or LLM-based systems
- Understanding of CRM, contact center, collections, or customer support systems, especially in BFSI environments
- Familiarity with prompt engineering and AI agent configuration
- Basic cloud infrastructure knowledge across AWS or GCP
- Ability to learn new business domains quickly and adapt in fast-paced environments
Ideal Candidate
- Enjoys solving real-world business problems directly with customers
- Comfortable balancing engineering execution with customer communication
- Thrives in ambiguity and takes ownership across functions
- Passionate about AI-powered automation and enterprise systems
- Strong analytical thinker with a proactive, problem-solving mindset
Click on Apply to know more.