Job Title: Senior Python Engineer (LLMs & Django) — LeoRix (AI Enterprise Hub)
Experience : 5–8 Years
Location : Madhapur, Hydrabad
Type: Full-Time
Timings: 8am to 4pm IST (or) 7pm to 3am IST (Offshore requirement)
About LeoRix:
LeoRix is an AI-driven Enterprise Hub designed to unify and automate end-to-end business workflows.
Our vision is to create an intelligent, voice-activated operating layer for enterprises — built on schemaless architecture, deep automation, and real-time decision intelligence.
We are looking for a highly skilled Senior Python Engineer with strong experience in LLMs, AI model integrations, and Django to help us build core modules and scale our platform.
Role Overview:
You will be a key engineer responsible for building, optimizing, and scaling the backend of LeoRix — including LLM-powered features, API layers, workflow engines, and enterprise-grade backend services.
This role requires expertise in Python, AI model integrations, Django, scalable architectures, and microservices.
Responsibilities:
Core Engineering
- Design, develop, and scale backend services using Python & Django.
- Build API-driven, modular, and scalable architectures for enterprise workflows.
- Integrate and fine-tune Large Language Models (OpenAI, Anthropic, Llama, HuggingFace, etc.).
- Develop LLM-based features: agents, workflows, context engines, prompt pipelines, embeddings, etc.
- Implement authentication, user management, and multi-tenant logic.
- Design and optimize database schemas (PostgreSQL / MongoDB / Redis).
AI Engineering
- Build and optimize model pipelines for inference, embeddings, and retrieval.
- Implement RAG, vector databases, and knowledge graph–based intelligence.
- Improve model accuracy using prompts, training data, evaluation metrics, and feedback loops.
- Work with conversational agents (“Hey Leo”) and command-based workflows.
Platform Development
- Build microservices, event-driven workflows, and scalable distributed systems.
- Develop integrations with CRM, HR, Finance, Ops, and other enterprise systems (API integrations).
- Work closely with front-end & product teams to define architecture and core features.
- Ensure security, performance, and reliability of backend systems at scale.
Collaboration & Leadership
- Mentor junior engineers and lead technical discussions.
- Work closely with founders for product roadmap, feasibility, and delivery timelines.
- Own technical decisions and proactively improve system architecture.
Required Skills & Qualifications
- 5–8 years of professional experience in software development.
- Expert-level proficiency in Python.
- Strong hands-on experience with Django / Django REST Framework.
- Proven experience with LLMs, Prompt Engineering, RAG, embeddings, or model fine-tuning.
- Strong knowledge of backend architectures, microservices, and distributed systems.
- Experience with PostgreSQL, Redis, and modern database systems.
- Experience with Docker / Kubernetes / CI-CD pipelines.
- Familiarity with cloud providers (AWS / GCP / Azure).
- Strong understanding of security, scaling, and API design.
Good to Have:
- Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma).
- Experience with FastAPI, Celery, or async Python.
- Knowledge of enterprise workflow systems or SaaS platforms.
- Experience with analytics pipelines or ETL systems.
- Understanding of multi-tenant SaaS architecture.
What We Offer:
- Opportunity to build a next-gen AI enterprise platform at early stage.
- Ownership in solving cutting-edge AI and workflow automation challenges.
- Direct collaboration with founders and leadership.
- Fast-growing environment with room for innovation and leadership.
- Competitive compensation based on experience.
How to Apply
Apply Here (or) Send your resume, GitHub/portfolio links, and a short note on your LLM experience to: