Key Responsibilities:

Solution Architecture & Deployment:

- Design and deploy secure, scalable GenAI architectures integrated into applications

- Build and deploy REST APIs for AI/ML models

- Work with Docker, Kubernetes in cloud environments (AWS/Azure/GCP)

GenAI & LLM Development:

- Fine-tune and optimize LLMs (GPT, VAEs, GANs, transformer-based models)

- Implement RAG pipelines, embedding, and prompt engineering techniques

- Work with commercial and open-source LLMs (GPT, Claude, LLaMA, Phi)

Agentic AI Development:

- Build and deploy AI agents using LangChain, LangGraph, CrewAI, Autogen, AgentFlow

- Implement multi-agent systems, orchestration, tool integration, and state management

- Develop autonomous or semi-autonomous workflows for business use cases

MLOps & Optimization:

- Set up end-to-end MLOps pipelines (CI/CD, monitoring, retraining)

- Optimize performance, scalability, and infrastructure costs

- Use tools like Git, Docker, Kubernetes, vector databases

Application Development & Data Integration:

- Develop APIs using FastAPI / Node.js

- Work with React, TypeScript, async patterns, WebSockets/SSE

- Handle data integration using REST APIs, SQL, and external systems

Cross-Functional Collaboration:

- Partner with Engineering, Product, and Data teams

- Communicate complex AI concepts clearly to technical and non-technical stakeholders

- Stay updated with the latest advancements in GenAI and AI agents

Required Skills:

- Strong proficiency in Python, SQL, and GenAI frameworks (e.g., LangChain)





- Hands-on experience with LLMs, RAG, embedding, and prompt tuning

- Experience building AI agents and multi-agent systems

- Experience with cloud platforms (AWS/Azure/GCP) and containerization

- Robust knowledge of REST APIs and data integration

- Experience with FastAPI, Node.js, React, TypeScript

- Understanding of MLOps and deployment practices

- Strong analytical, problem-solving, and communication skills

Preferred:

- 4+ years of experience with GenAI/LLMs in production

- Experience with agent orchestration frameworks (CrewAI, LangGraph, Autogen)

- Exposure to client-facing AI solutions or cross-functional projects

- Open-source contributions, research, or AI project portfolio

Requirements

- Strong proficiency in Python, SQL, and GenAI frameworks (e.g., LangChain)

- Hands-on experience with LLMs, RAG, embedding, and prompt tuning

- Experience building AI agents and multi-agent systems

- Experience with cloud platforms (AWS/Azure/GCP) and containerization

- Strong knowledge of REST APIs and data integration

- Experience with FastAPI, Node.js, React, TypeScript

- Understanding of MLOps and deployment practices

- Strong analytical, problem-solving, and communication skills

Benefits

- Competitive salary and performance-based bonuses.

- Comprehensive insurance plans.

- Collaborative and supportive work environment

- Chance to learn and grow with a talented team.

- A positive and fun work environment

📌 AI Engineer (LLM / GenAI) (Karnataka)
🏢 Prescience Decision Solutions
📍 Karnataka