Were Looking For

- 8-14 years of experience in software engineering (backend or fullstack)
- 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
- Robust experience building production-grade distributed systems
- Proficiency in Python
- Strong experience with SQL & NoSQL databases
- Hands-on experience with LangChain, LangGraph, or similar frameworks
- Experience deploying systems on AWS / Azure / GCP
- Strong understanding of APIs, microservices, and system design
- Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
- Familiarity with CI/CD pipelines and DevOps practices

Roles & Responsibilities

- Develop and optimize LLM-based solutions: Lead the design and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership: Build and maintain/review high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability,



and performance best practices.
- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.

Good to Have

- Exposure to frontend frameworks (React, Next.js) for fullstack roles
- Understanding of model evaluation, fine-tuning, or LLMOps
- Experience building multi-tenant or enterprise SaaS platformsRole & responsibilities

Preferred candidate profile

📌 Principal GenAI Engineer (Hyderabad)
🏢 Tanisha Systems
📍 Hyderabad