Data Science – Gen AI / LLM

Greytip Software Private Limited; Hyderabad; Vor Ort; INR 2.500.000 - 3.800.000; Vollzeit

Zusammenfassung

Greytip Software Private Limited in Hyderabad is seeking a Senior Engineer – AI/LLM Developer to design, develop, and deploy cutting-edge generative AI solutions powered by Large Language Models (LLMs). You will work on RAG pipelines, vector databases, and cloud-based deployments.

The role demands 4+ years in software with 3+ in AI/ML, strong Python, PyTorch, and experience with OpenAI/Azure OpenAI or cloud ML platforms.

Qualifikationen

• 4+ years of software development with 3+ years in AI/ML or Generative AI.
• Strong proficiency in Python and modern AI frameworks.
• Experience with transformer models and LLM APIs.

Aufgaben

• Design and develop AI-powered applications using Large Language Models (LLMs).
• Build, integrate, and deploy LLM-based solutions using OpenAI/Azure OpenAI/Anthropic/Gemini or open-source models.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Implement advanced prompt engineering to improve AI response quality.
• Fine-tune transformer-based models for domain-specific use cases.
• Optimize AI models for latency, scalability, and cost using quantization/distillation.
• Build data ingestion and preprocessing pipelines for training/inference.
• Develop AI evaluation frameworks and benchmark model performance.
• Deploy AI solutions on cloud platforms (AWS/Azure/GCP).
• Containerize AI apps with Docker and orchestrate with Kubernetes.
• Collaborate with product managers, data scientists, and engineers.

Kenntnisse

Python

AI/ML

PyTorch

Transformer models

LLMs

Prompt engineering

REST APIs

Problem solving

Leadership

Ausbildung

BE/B.Tech

M.Tech

MCA

Masters

Tools

Docker

Kubernetes

LangChain

Pinecone

FAISS

ChromaDB

Weaviate

Milvus

Qdrant

OpenAI API

Jobbeschreibung

Senior Engineer – AI/LLM Developer

Experience: 4+ Years

Location: Hyderabad (Preferred) – 5 days WFO

Preferred Qualification: BE/B.tech, M.tech, MCA, Masters

Overview

We are looking for a highly skilled Lead/Senior Engineer – AI/LLM Developer to design, develop, and deploy cutting‑edge Generative AI solutions powered by Large Language Models (LLMs). The ideal candidate should have strong experience in AI/ML, transformer models, Retrieval‑Augmented Generation (RAG), vector databases, and cloud‑based AI deployment. You will play a key role in building scalable, production‑ready AI applications while mentoring team members and driving technical excellence.

Key Responsibilities

• Design and develop AI‑powered applications using Large Language Models (LLMs).
• Build, integrate, and deploy LLM‑based solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or open‑source models.
• Develop and optimize Retrieval‑Augmented Generation (RAG) pipelines using vector databases.
• Implement advanced prompt engineering techniques to improve AI response quality.
• Fine‑tune transformer‑based models for domain‑specific use cases.
• Optimize AI models for latency, scalability, and cost using techniques such as quantization and distillation.
• Build robust data ingestion and preprocessing pipelines for AI training and inference.
• Develop AI evaluation frameworks and benchmark model performance.
• Deploy AI solutions on cloud platforms such as AWS, Azure, or GCP.
• Containerize AI applications using Docker and orchestrate deployments with Kubernetes.
• Collaborate with product managers, data scientists, and engineering teams to deliver business solutions.
• Conduct code reviews, mentor junior engineers, and promote AI engineering best practices.
• Ensure responsible AI development by following security, privacy, and ethical AI standards.

Required Skills & Qualifications

• 4+ years of software development experience with at least 3 years in AI/ML or Generative AI.
• Strong proficiency in Python.
• Hands‑on experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Experience working with transformer‑based models and LLM APIs.
• Strong understanding of Prompt Engineering and LLM application development.
• Hands‑on experience implementing RAG architectures.
• Experience with vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, Milvus, or Qdrant.
• Knowledge of embeddings and semantic search techniques.
• Experience deploying AI solutions on AWS, Azure, or Google Cloud Platform.
• Familiarity with Docker and Kubernetes.
• Strong understanding of REST APIs, microservices, and scalable software architecture.
• Excellent analytical, debugging, and problem‑solving skills.

Preferred Skills

• Experience with LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.
• Knowledge of AI agents and multi‑agent architectures.
• Experience with multimodal AI (text, image, audio, and vision models).
• Hands‑on experience with model optimization techniques including quantization and distillation.
• Understanding of AI evaluation metrics and benchmarking.
• Experience with CI/CD pipelines and MLOps.
• Contributions to open‑source AI projects or published AI research are a plus.
• Knowledge of Responsible AI, AI Governance, and AI Security best practices.

Technologies

• Programming: Python
• AI/ML Frameworks: PyTorch, TensorFlow, Hugging Face
• LLM Frameworks: LangChain, LangGraph, LlamaIndex
• LLMs: GPT, Llama, Claude, Gemini, Mistral
• Vector Databases: Pinecone, ChromaDB, FAISS, Weaviate, Milvus, Qdrant
• Cloud Platforms: AWS, Azure, GCP
• Containers: Docker, Kubernetes
• Version Control: Git
• Databases: SQL, NoSQL
• Deployment: REST APIs, FastAPI, Flask

Preferred Candidate Profile

• Strong expertise in designing enterprise‑grade AI applications.
• Experience delivering production‑ready LLM solutions.
• Ability to work independently and lead technical initiatives.
• Excellent communication and stakeholder management skills.

Preferred Qualification

Master's in AI, B,Tech,MCA,M.Tech

• Passion for emerging AI technologies and continuous learning.