Agentic AI Engineer (RAG & LLM Systems)

Position Name: Agentic AI Engineer (RAG & LLM Systems)

Department: IT

Location: Remote/Hybrid(Noida)

Employment Type: Full-time / Contract

Compensation: 12-15 LPA(Based on the experience and interview)

Reports To: VP of Artificial Intelligence

Role

Build and operate agentic AI systems for an interpretation and translation business, with direct ownership of RAG pipelines and agent workflows aligned to real business processes.

Responsibilities

Design and implement RAG-based LLM systems for translation and interpretation workflows

Build agentic solutions using LangChain, Microsoft AutoGen, and CrewAI, and others

Translate business processes into AI agent workflows (intake, knowledge retrieval, decisioning, output)

Own end-to-end AI solution delivery from requirements to production

Business Process Understanding & Optimization: Analyze existing interpretation and translation workflows, identify inefficiencies, and design agentic AI solutions that measurably improve accuracy, turnaround time, and operational scalability.

Work closely with business, Operations, and product stakeholders to clarify requirements and iterate

Communicate technical tradeoffs, limitations, and outcomes clearly to non-technical teams

Requirements

Strong experience with LLMs and production-grade RAG architectures

Hands-on experience with vector databases (Pinecone, FAISS, Weaviate, or equivalent)

Proficiency in Python

Experience deploying AI systems to production

Demonstrated ability to understand business workflows and convert them into technical designs

Comfortable with frequent stakeholder communication and requirement refinement

Nice to Have

Experience in translation, interpretation, or multilingual NLP

Familiarity with speech-to-text or text-to-speech systems

Cloud experience (AWS, GCP, or Azure)

Think global. Think BIG.

Visit us: https://biglanguage.com

Linkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/