Forward Deployed Software Engineer S P A Enterprise Info Services Hyderabad Chennai Bengaluru

Vibehackers; Hyderabad, Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Vibehackers is seeking a Forward Deployed Software Engineer to design, build, and operate backend services and integrations that bring AI-powered capabilities to enterprise workflows. You will own API design, data access, cloud deployment, and lightweight user interfaces, delivering end-to-end solutions while focusing on security, reliability, and maintainability.

Collaborate with product teams, write automated tests, and document technical decisions to help teams adopt scalable AI-enabled

Qualifications

• 3+ years of Python experience with async/await and modular design.
• Experience building APIs with FastAPI/Flask/Django and secure API patterns.
• Strong SQL skills with relational databases and data modeling.
• Experience deploying AI services and prompt engineering.

Responsibilities

• Design and implement backend services and RESTful APIs to support operational workflows.
• Integrate AI/ML capabilities (LLMs, retrieval, semantic search) into business applications.
• Build and maintain data access layers and complex SQL queries; optimize performance.
• Debug and troubleshoot authentication flows, API integrations, and production issues.
• Deploy and support applications in cloud environments using containers and orchestrators.
• Write and maintain automated tests for asynchronous Python applications.
• Document technical decisions and deployment steps, troubleshooting guidance, and limitations.

Skills

Python

Async programming

API design

SQL

Cloud deployment

Automated testing

Prompt engineering

AI integration

CI/CD

Security & identity

Tools

FastAPI

Flask

Django

httpx

Docker

Kubernetes

SQL tooling

Job description

Uses AI assistants and builds AI-enabled solutions; emphasizes prompt engineering and integrating LLMs into workflows.

About the Role

Build and operate backend services and integrations that apply AI capabilities to enterprise workflows and operational applications. Deliver end-to-end solutions spanning API design, data access, cloud deployment, and simple user interfaces to solve business problems and automate processes.

Job Description

Role

Forward Deployed Software Engineer responsible for designing, building, and operating backend services and integrations that enable AI-enabled business solutions and operational workflows. Work includes API design, data integration, cloud deployment, simple user-facing tooling, and ensuring enterprise security and reliability.

Key Responsibilities

• Design and implement backend services and RESTful APIs to support operational workflows, automation, and user-facing applications.
• Integrate AI/ML capabilities (LLMs, retrieval, semantic search, document processing) into business applications and prototypes.
• Build and maintain data access layers and complex SQL queries against relational databases; optimize query performance.
• Debug and troubleshoot authentication flows, API integrations, background jobs, and production issues.
• Deploy and support applications in cloud environments using containers and orchestrators; manage secrets, logging, and monitoring.
• Write and maintain automated tests and structure test suites for asynchronous Python applications.
• Document technical decisions, deployment steps, troubleshooting guidance, and known limitations.

Requirements

• 3+ years of Python experience with strong knowledge of async/await, context managers, decorators, type hints, and modular design.
• Experience building APIs with FastAPI, Flask, Django, or similar frameworks and strong understanding of HTTP/REST concepts and secure API patterns.
• Strong SQL skills and experience with relational databases (Oracle, PostgreSQL, SQL Server, MySQL, or similar) and familiarity with SQLite for lightweight persistence.
• Experience integrating AI services or model APIs and applying prompt engineering, retrieval-augmented generation, semantic search, text classification, summarization, or natural language interfaces.
• Experience with automated testing frameworks (pytest, pytest-asyncio) and tools like httpx for testing async applications.
• Experience deploying/supporting applications on cloud platforms (AWS, Azure, or similar) and with containerized deployments (Docker, ECS Fargate, Kubernetes, App Services).
• Knowledge of authentication and enterprise identity patterns (OAuth2 Authorization Code flow, Microsoft Entra ID, Azure SSO) and role-based access control.
• Strong debugging, performance tuning, documentation, and communication skills; ability to work independently and collaborate with stakeholders.

Good-to-Have

• Experience using AI-assisted development tools (GitHub Copilot, Microsoft Copilot, Claude) effectively.
• Familiarity with Microsoft Graph API and Microsoft 365 surfaces (SharePoint, Teams, OneDrive, Power Platform) for enterprise integrations.
• Experience structuring integration tests, mocks, test clients, and handling async test patterns.

Tools & Technologies (explicitly mentioned)

Skills

Backend Development API Design Async Programming Debugging Automated Testing SQL & Data Modeling Data Integration Cloud Deployment Containerization DevOps/Operational Support Security & Identity Prompt Engineering AI Integration Human-in-the-loop Design Frontend Basics (HTML/CSS/JS) Usability for Internal Tools Documentation Communication Collaboration Ownership