Sr. Python Developer with LLM

20 hours ago


Hyderabad, Telangana, India 0843a604-46a5-4098-a26f-558bc570e8e6 Full time ₹ 12,00,000 - ₹ 17,07,467 per year

Job Title: Senior Python Engineer (LLMs & Django) — LeoRix (AI Enterprise Hub)

Experience: 5–8 Years

Location: Madhapur, Hyderabad

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 (Open AI, Anthropic, Llama, Hugging Face, 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.

Job Type: Full-time

Pay: ₹1,200, ₹1,700,467.83 per year

Benefits:

  • Flexible schedule
  • Food provided
  • Provident Fund

Work Location: In person


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