A motivated Forward Deployed Engineer with 0-4 years of experience to join the GenAI team, working on backend systems, Generative AI integrations, and prompt engineering. The role involves building scalable backend systems using Python frameworks, working with databases like MongoDB and Redis, and collaborating with AI / ML teams to deploy LLM-powered applications.
Immediate next step .
Apply using the link Upload Resume ->
take the AI interview instantly get shortlisted faster.
We are hiring urgently so early applicants get priority.
Key Responsibilities
- Design, develop, and maintain backend systems using Python frameworks (Flask, FastAPI, Django, or similar)
- Work on integrations with APIs, databases, and external services
- Write effective prompts and work with Generative AI models for real-world use cases
- Build and maintain systems using MongoDB and Redis for storage, caching, and workflow orchestration
- Collaborate with AI / ML teams to deploy LLM-powered applications
- Debug, optimize, and ensure reliability and scalability of backend systems
- Implement best practices for code quality, testing, and documentation
Must Have Skills
Python frameworks (Flask or FastAPI or Django or similar)Databases (SQL or MySQL or MongoDB or similar)Good To Have Skills
DevOps toolingNLP frameworksConversational AIRabbitMQGitPrompt EngineeringRedisLarge Language Models (LLMs)REST APIsCloud platforms (AWS, Azure, GCP)Prompt engineeringRAGCompensation and benefits
Competitive fixed compensationEarly-stage startup exposure — work on 0 1 systems and real production GenAI use casesSteep learning curve — hands-on ownership across backend, GenAI integrations, and LLM deploymentsHigh-impact role — your work directly ships to customers, not internal demosFast growth & visibility — work closely with founders and senior engineersModern tech stack — Python, FastAPI, LLMs, Redis, MongoDB, RAG, cloud infraSkills Required
Redis, Sql, Django, Gcp, Mysql, Flask, FastAPI, Mongodb, Rest Apis, Azure, Aws