NLP Ai enfineer
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Posted on:
20 hours ago
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1 Vacancy
Job Summary
Applied NLP AI Engineer Job Description
Title: Applied AI Engineer (NLP & LLM Systems)
Experience: 3 6 years (2 years specifically working with LLMs / NLP systems)
Location: Bangalore
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.
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.
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
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
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
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
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
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/Fast 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
Strong experience in Python programming and its frameworks like
Django/Fast 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
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
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
