Applied NLP AI Engineer

Title: Applied AI Engineer (NLP & LLM Systems)

Experience: 3–6 years (2+ years specifically working with LLMs / NLP systems)

Location: Bangalore

Role Summary

We are looking for an Applied AI Engineer to design, build, and deploy production-

grade AI systems that automate and optimize workflows across the organization.

The role focuses on responsible use of LLMs, AI orchestration, and integration with existing enterprise systems — particularly in regulated domains such as healthcare.

The Applied AI Engineer will design, implement, and maintain controlled,

explainable, and compliance-safe NLP systems for medical content generation and conversational analytics.

Key Responsibilities

AI System Design & Orchestration

 Design end-to-end AI workflows for:

o Content creation o Review and quality checks o Data summarization and explanation o Knowledge retrieval

 Architect task-specific AI agents instead of generic chatbots

 Ensure AI systems are bounded, controllable, and auditable

LLM & NLP Engineering

 Implement LLM workflows using APIs (OpenAI / Llama)

 Build and optimize RAG pipelines

 Design prompt routing, tool/function calling, and intent detection

 Prevent hallucinations and unsafe outputs via system-level controls

Workflow Automation

 Integrate AI into existing workflows across departments

 Identify repetitive, manual tasks suitable for AI assistance

 Replace fragmented point solutions with centralized data pipelines and AI services

 Build analytics pipelines using Pandas, NumPy, SQL / PostgreSQL

 Precompute and store reusable metrics

Safety, Governance & Compliance





 Ensure AI outputs are explainable and traceable

 Implement validation checks and confidence indicators

 Support human-in-the-loop review workflows

 Work closely with compliance, QA, and domain experts

 Maintain prompt versioning & rollback

 Support auditability requirements

RAG & Knowledge Systems

 Optimize context injection to avoid token overflow

 Implement citation-aware generation

 Build evaluation pipelines for factual correctness

Required Skills

 Strong experience in Python programming and its frameworks like

Django/Rapid API

 Experience in Python and its libraries (Pandas, NumPy, Scikit learn/Tensor

Flow)

 Experience in AI orchestration frameworks like Langchain, Langraph etc

 Experience with vector Databases like Pinecone or Chroma db

 Experience in NLP and LLM-based systems (RAG and RAG pipelines,

tokenization, embeddings, retrieval)

 Experience in databases like MySQL , PostgreSQL etc

 Experience in Tool/Function calling and Agentic workflow

 Experience in Context window and token optimization

 Experience in handling large structured datasets

 Familiarity on Evaluation of LLM outputs in production

 Familiarity of Prompt engineering for constrained outputs

Nice to Have

 Experience in healthcare, pharma, or regulated industries

 Experience in medical writing industry is big plus

 Experience in handling image text extraction from word/ppt documents and integration into NLP/LLM workflows

 Experience integrating AI into enterprise tools (Office, CMS, CRM)

 Familiarity with workflow orchestration tools

📌 NLP AI Engineer (Bengaluru)
🏢 Trigent Software
📍 Bengaluru