AI Engineer, LLM – GenAI

🕒 6 days ago

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Prescience Decision Solutions (A Movate Company)

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Prescience Decision Solutions (A Movate Company) is an AI, data science and advanced analytics firm that helps enterprises industrialize analytics and integrate machine learning and generative AI across business functions. They provide AI enablement services for sales & marketing, supply chain and logistics, customer engagement, and business operations, and offer expertise in data engineering, data visualization, data analytics, AI/ML, and generative AI. Prescience also develops products (VIDA, LUMOS, Data Sentinel) to activate enterprise data, holds SOC 2 certification, and serves clients across retail, manufacturing, healthcare, automotive and other industries while helping organizations build data platforms and AI Centers of Excellence.

📋 Description

• 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.

🎯 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.