Location – Remote
Shift -3PM – 12AM

Job Description:

Key Responsibilities
1.Solution Architecture & Deployment
●Design and deploy scalable, secure GenAI architectures integrated into
customer-facing products.
●Build REST APIs for AI/ML models and deploy them in containerized
environments (Docker, Kubernetes) on cloud platforms (AWS, Azure, GCP).
2.GenAI & LLM Development
●Fine-tune and optimize generative models including GPT, VAEs, GANs, and
transformer-based architectures.
●Apply techniques like Retrieval-Augmented Generation (RAG) and prompt
engineering to enhance model performance and relevance.
●Work with both commercial and open-source LLMs (e.g., GPT-4, Claude, LLaMA
3.2, Phi).
3.Agentic AI Integration
●Primary Focus: Build, deploy, and optimize AI agents leveraging frameworks
such as LangChain, LangGraph, CrewAI, AgentFlow, and Autogen.
●Implement orchestration strategies, multi-agent collaboration, tool integration,
and memory/state management.
●Drive experimentation to create autonomous or semi-autonomous agents that




solve real business workflows and decision-making processes.
4.MLOps & Performance Optimization
●Establish MLOps pipelines covering model lifecycle: training, CI/CD, monitoring,
and retraining.
●Use tools like Git, Docker, Kubernetes, and vector DBs to ensure efficient and
reliable deployment.
●Optimize resource utilization and infrastructure costs.
5.Cross-Functional Collaboration
●Partner with engineering, data science, and product teams to align technical
solutions with business goals.
●Effectively communicate complex concepts across diverse technical and non-
technical audiences.
●Stay current with industry advancements and drive innovation in GenAI and AI
agent strategy.

Skills & Qualifications
Required

●Solid proficiency in Python, SQL, and GenAI frameworks (e.g., LangChain).
●Hands-on experience in building and deploying AI agents with orchestration, tool use,
and state management.
●In-depth knowledge of LLM architecture, RAGs, emb

📌 Generative AI Engineer (Hyderabad)
🏢 Indium
📍 Hyderabad