The Core Responsibilities For The Job Include The Following
Solution Architecture and Deployment:
- Design and deploy scalable, secure GenAI architectures integrated into customer-facing products.
- Build REST APIs for AI/ML models and deploy them in containerised environments (Docker, Kubernetes) on cloud platforms (AWS, Azure, GCP).

GenAI And LLM Development
- Fine-tune and optimise 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).

Agentic AI Integration
- Primary Focus: Build, deploy, and optimise 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.





MLOps And Performance Optimisation
- Establish MLOps pipelines covering model lifecycle: training, CI/CD, monitoring, and retraining.
- Use tools like Git, Docker, Kubernetes, and vector DBs to ensure effective and reliable deployment.
- Optimise resource utilisation and infrastructure costs.

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.

Requirements
- Strong 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, embeddings, prompt tun

📌 AI Engineer (Bengaluru)
🏢 Nineleaps
📍 Bengaluru