Forward Deployed Engineer

TEXORA; India; Remote; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Remote work

Flexible Hours

Education Reimbursement

Team Lunches

Annual Retreat

Professional Development Budget

Performance Bonuses

Referral Bonus

Job summary

TEXORA is seeking a Forward Deployed Engineer to join our AI and enterprise solutions team. You will work at the intersection of AI engineering, software development, solution consulting, and customer success, owning customer deployments from discovery to production.

The role emphasizes hands-on development, integration across CRM/HRMS/ERP, and building scalable AI workflows using modern tooling. Remote-friendly with global clients, you’ll collaborate across product and engineering to deliver

Qualifications

• 2–6 years in software/AI engineering or related roles.
• Experience with REST APIs, webhooks and systems integrations.
• Experience with AWS, Azure or GCP and SQL databases.

Responsibilities

• Work directly with customers to understand requirements and design solutions.
• Develop AI powered applications and automation workflows.
• Build REST APIs, integrations with CRM/HRMS/ERP.
• Deploy solutions on AWS/Azure/GCP and maintain security.
• Own deployments from POC to production and provide documentation.
• Collaborate with Product, Engineering, Sales and Customer Success.

Skills

Software engineering

AI engineering

Solutions engineering

REST APIs

Webhooks

System integrations

SQL databases

LLMs / Generative AI

RAG

Embeddings

Prompt engineering

AWS / Azure / GCP

Debugging

Stakeholder management

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

OpenAI SDK

Docker

Kubernetes

CI/CD

Job description

Job Description

Forward Deployed Engineer (FDE) – AI & Enterprise Solutions

Employment Type: Full-Time / Remote

Location: Remote – India / Global

Experience: 2–6 Years

Department: AI Engineering / Solutions Engineering

About Texora AI

Texora AI is building AI-powered solutions across HRTech, Recruitment, CRM, Customer Experience, Automation and Enterprise AI. We are looking for a Forward Deployed Engineer who can work closely with customers to understand complex business problems and turn them into reliable, production-ready technology solutions.

Role Overview

As a Forward Deployed Engineer, you will work at the intersection of AI Engineering, Software Development, Solution Consulting and Customer Success.

You will take ownership of customer implementations from discovery and POC through integration, deployment, production rollout and optimization.

This is a hands‑on engineering role for someone who enjoys solving real‑world customer problems, writing code, integrating systems and working directly with technical and business stakeholders.

Key Responsibilities

1. Customer Discovery & Solution Design

• Work directly with customers to understand business and technical requirements.
• Conduct technical discovery sessions and solution workshops.
• Convert business requirements into technical architecture and implementation plans.
• Identify opportunities for AI automation and workflow optimization.
• Define success metrics and deployment milestones.

2. AI & Agentic AI Development

• Build and deploy AI-powered applications, AI agents and automation workflows.
• Work with LLMs, RAG, embeddings, vector databases and prompt engineering.
• Develop AI workflows using tools/frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI or equivalent.
• Implement tool calling, function calling and multi‑step AI workflows.
• Evaluate and optimize AI responses, accuracy, latency and reliability.
• Implement guardrails, evaluation frameworks and monitoring.

3. Software Engineering & Integrations

• Build REST APIs, webhooks and microservice integrations.
• Integrate CRM, HRMS, ATS, LMS, ERP and third‑party SaaS platforms.
• Work with databases such as PostgreSQL, MySQL, MongoDB or SQL Server.
• Develop scripts, automation tools and customer‑specific extensions.
• Troubleshoot integration and production issues.
• Deploy solutions on AWS, Azure or GCP.
• Work with Docker, CI/CD and cloud‑native architectures.
• Configure application environments, APIs, databases and authentication.
• Support production deployments, monitoring and troubleshooting.
• Ensure solutions are secure, scalable and reliable.

5. Customer Implementation

• Own customer deployments from POC to production.
• Support UAT, go‑live and post‑production hypercare.
• Diagnose and resolve technical issues.
• Prepare implementation documentation, architecture diagrams and deployment guides.
• Train customer technical teams when required.
• Maintain clear communication with customers throughout the implementation lifecycle.

6. Product & Engineering Collaboration

• Work closely with Product, Engineering, Sales and Customer Success teams.
• Convert customer feedback into product improvements.
• Identify reusable implementation patterns and accelerators.
• Report recurring technical issues and contribute to product roadmap decisions.
• Build reusable components instead of one‑off solutions wherever possible.

Required Skills

• 2–6 years of experience in software engineering, AI engineering, solutions engineering, technical consulting, implementation or a similar role.
• Experience with REST APIs, webhooks and system integrations.
• Experience with databases and SQL.
• Practical understanding of LLMs and Generative AI.
• Experience with RAG, embeddings, vector databases and prompt engineering.
• Familiarity with AI agent frameworks.
• Experience with AWS, Azure or GCP.
• Strong debugging and problem‑solving skills.
• Excellent communication and stakeholder‑management skills.
• Ability to work independently in a remote environment.

Good to Have

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, OpenAI SDK or similar.
• Experience with MCP and agentic AI architectures.
• Experience with Salesforce, HubSpot, ServiceNow, Workday, SAP, Microsoft Teams, Slack, Jira or similar enterprise platforms.
• Experience with OAuth 2.0, JWT, SAML, OIDC or enterprise authentication.
• Experience with Docker, Kubernetes and CI/CD.
• Knowledge of AI evaluation, observability and model monitoring.
• Experience in HRTech, CRM, EdTech, CX or enterprise SaaS.

• Remote Work
• Flexible Hours
• Education Reimbursement
• Team Lunches
• Annual Retreat
• Professional Development Budget
• Performance Bonuses
• Referral Bonus

Required Skills

Communication Teamwork Problem Solving Critical Thinking Strong communication skills

TEXORA.AI is an AI-powered enterprise platform focused on recruitment, HR automation, customer experience (CX), CRM, workflow automation, and productivity solutions.