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PRESCIENCE - AI Engineer

prescience decision solutions (a movate company)
4-6 Years
India
Early Applicant
  • Posted 13 hours ago
  • Be among the first 10 applicants

Job Description

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)

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Ai/Ml Development
Employment Type:
Full time

Job ID: 152955883

Last Updated: 25-08-2026 01:28:26 AM
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