AI Engineer (LLM / GenAI)

Salary :

₹3 monthly

Company : Prescience Decision Solutions

Job Type : Full Time

Bengaluru, India

Job Description - AI Engineer (LLM / GenAI)

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
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

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

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