Generative AI Developer / Technical Lead / Architect

Glauben Technologies; Hyderabad, Pune District, Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Glauben Technologies is seeking experienced Generative AI professionals in Hyderabad to design, build, and optimize GenAI solutions using Python and LLMs. You will lead RAG workflows, prompts, and integrations across enterprise systems.

Role levels span Developer to Architect based on expertise. Candidates should demonstrate hands-on GenAI, LLMs, and prompt engineering capabilities, with leadership responsibilities in some tracks.

Qualifications

• Hands-on Python programming with GenAI and LLMs.
• Experience with RAG pipelines and context-aware responses.
• Proficiency in embeddings, semantic search, and vector databases.
• Understanding of model evaluation and prompt optimization.

Responsibilities

• Design, develop, and implement GenAI applications using Python and Large Language Models (LLMs).
• Build and optimize RAG pipelines for enterprise retrieval.
• Develop prompts and prompt templates.
• Work with LLMs such as GPT, Llama, Claude, Gemini, or other open-source and commercial models.
• Integrate GenAI solutions with enterprise applications, APIs, and backend systems.
• Evaluate model performance, response quality, hallucinations, latency, and token usage.
• Deploy and monitor GenAI applications in cloud or production environments.
• Collaborate with product managers, data scientists, engineering teams, and business stakeholders.

Skills

Python

Generative AI

LLMs

RAG

Prompt Engineering

Embeddings

Semantic Search

Vector Databases

REST APIs

Backend Integration

MLOps

Tools

LangChain

LlamaIndex

LangGraph

FAISS

Pinecone

Chroma

Weaviate

Azure OpenAI

AWS Bedrock

Vertex AI

Docker

Kubernetes

Job description

Hiring: Generative AI Developer / Technical Lead / Architect

Experience: 511 Years
Skills: Generative AI, LLM, Python, RAG, Prompt Engineering
Job Type: Full-Time

Job Summary

We are looking for experienced Generative AI professionals with strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Prompt Engineering. Candidates should have hands-on experience in designing, developing, deploying, and optimizing GenAI applications and enterprise-grade AI solutions.

We are hiring across Developer, Technical Lead, and Architect levels based on technical expertise and leadership experience.

Key Responsibilities

• Design, develop, and implement Generative AI applications using Python and Large Language Models (LLMs).
• Build and optimize RAG pipelines for enterprise knowledge retrieval and context-aware response generation.
• Develop effective prompts, prompt templates, and advanced prompt engineering strategies.
• Work with LLMs such as GPT, Llama, Claude, Gemini, or other open-source and commercial models.
• Implement document ingestion, text chunking, embedding generation, semantic search, and vector database integrations.
• Integrate GenAI solutions with enterprise applications, APIs, and backend systems.
• Evaluate model performance, response quality, hallucinations, latency, and token usage.
• Implement security, data privacy, guardrails, and responsible AI practices.
• Deploy and monitor GenAI applications in cloud or production environments.
• Collaborate with product managers, data scientists, engineering teams, and business stakeholders.

Mandatory Skills

• Strong hands-on experience in Python programming.
• Practical experience with Generative AI and LLM-based applications.
• Strong knowledge of Retrieval-Augmented Generation (RAG).
• Expertise in Prompt Engineering and LLM response optimization.
• Experience with embeddings, semantic search, and vector databases.
• Knowledge of REST APIs, backend development, and AI application integration.
• Understanding of LLM evaluation, hallucination mitigation, and model optimization.

Preferred Skills

• Frameworks: LangChain, LlamaIndex, LangGraph.
• Vector databases: FAISS, Pinecone, Chroma, Weaviate, or Azure AI Search.
• Cloud platforms: AWS Bedrock, Azure OpenAI, or Google Vertex AI.
• Knowledge of fine-tuning, Hugging Face Transformers, and open-source LLMs.
• Experience with agentic AI, AI agents, tool calling, and multi-agent workflows.
• Familiarity with Docker, Kubernetes, CI/CD, and MLOps/LLMOps.

Role-Specific Expectations

1. Generative AI Developer

• Hands-on coding and development of LLM-powered applications.
• Build RAG workflows, API integrations, and prompt templates.
• Debug, test, and optimize GenAI solutions.

2. Generative AI Technical Lead

• Lead technical implementation and guide development teams.
• Review code, establish best practices, and drive solution delivery.
• Optimize architecture, performance, scalability, and reliability.

3. Generative AI Architect

• Define end-to-end GenAI solution architecture and technology choices.
• Design scalable, secure, enterprise-grade RAG and LLM platforms.
• Drive architecture standards, governance, integration strategies, and technical roadmaps.

Experience Criteria

• 5–7 Years: Senior GenAI Developer
• 7–9 Years: GenAI Developer / Technical Lead
• 9–11 Years: Technical Lead / GenAI Architect

Candidates must demonstrate relevant hands-on experience in Python, LLMs, RAG, and Prompt Engineering. Leadership and architecture responsibilities will depend on the position.

Keywords: Generative AI, GenAI, LLM, Large Language Models, Python, RAG, Retrieval-Augmented Generation, Prompt Engineering, LangChain, LlamaIndex, LangGraph, Vector Database, Embeddings, Semantic Search, GPT, Azure OpenAI, AWS Bedrock, Vertex AI, Agentic AI.