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PRESCIENCE - AI Engineer

PRESCIENCE DECISION SOLUTIONS PRIVATE LIMITED

Job Description :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. (ref:hirist.tech)

Vacancy posted a month ago
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