About the Role:

Learning Pathways is building an AI-native enterprise platform that benchmarks organizational skills, identifies capability gaps and generates personalized learning pathways using Large Language Models, knowledge graphs and conversational AI.

We are looking for an experienced Full Stack Engineer who enjoys building scalable AI-powered products from the ground up. This role is hands-on and spans backend engineering, AI integration, data engineering and cloud infrastructure.

What You'll Build

You will help build the core platform powering:

- AI-driven skills benchmarking
- Learning Pathways
- Conversational AI mentors
- RAG (Retrieval-Augmented Generation) pipelines
- Knowledge ingestion and semantic search
- Enterprise API
- Analytics and benchmarking engines

Requirements: What We're Looking For

- Computer Science Engineering degree or a related discipline.
- Strong programming skills in Python and experience with modern deep learning frameworks such as PyTorch or TensorFlow.
- Strong software engineering skills, including experimentation, model evaluation and production deployment.
- Ability to solve complex, ambiguous problems using data and evidence.

Languages

- Python
- FastAPI
- Node.js
- JavaScript / TypeScript

Databases

- MongoDB
- PostgreSQL
- Caching




- Valkey / Redis

AI / LLM

- Retrieval-Augmented Generation (RAG)
- Chunking strategies
- Embedding models
- Semantic Search
- Vector databases
- Conversational AI
- Prompt Engineering
- LLM orchestration

Cloud & Infrastructure

- Docker
- Linux
- REST APIs
- Git
- CI/CD

Software Engineering

- Query optimization
- API design
- Distributed systems
- Performance optimization
- Security best practices
- Unit testing
- Integration testing
- Logging and observability

Nice to Have

- OpenAI, Anthropic APIs
- Graph databases
- Knowledge graphs
- Celery
- Kubernetes
- Event-driven architectures
- PostHog
- Elasticsearch
- GraphQL

Behaviors We Value

- We are looking for individuals who demonstrate:
- Technical competence
- Keen analytical thinking
- Intellectual curiosity
- Product orientation.
- Comfort with ambiguity.
- Pragmatism and a bias toward action.

Advantages

- Compensation, Benefits & Culture
- Work Setup: On-site in Hyderabad
- Benefits: Competitive pay, learning support

Equal Opportunity Statement

Learning Pathways is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

📌 Full Stack Engineer (Hyderabad)
🏢 Learning Pathways
📍 Hyderabad