Remote Protocol engineer Jobs – 104 Open Jobs Today

Senior AI Engineer (AI Agents & Document Intelligence)
Technology Next —Remote
- ₹80,000 - ₹90,000 a month
- Full-time
- Remote
- Master's degree
- AWS
- AI
Quick apply
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Senior AI Engineer (AI Agents & Document Intelligence)

Technology Next -
Remote

Quick apply

Job details

Full-time | Contractual / Temporary
₹80,000 - ₹90,000 a month
2 days ago

Qualifications

Law
R
Master's degree
AWS
AI

Full job description

Senior AI Engineer (AI Agents & Document Intelligence)

Experience: 6+ Years
Location: Remote
Employment Type: Contract / Full-Time

About the Role

We are seeking a highly skilled Senior AI Engineer to build a production-grade Document Intelligence Platform powered by AI agents. This platform ingests PDFs of varying quality and produces structured records aligned to target schemas with per-field confidence scoring and Human-in-the-Loop (HITL) review.

This role is central to building a scalable foundation that handles the complete lifecycle—from document ingestion and extraction to confidence routing and feedback loops. You will work closely with AI Architects and Data Engineers to develop reusable patterns for future document agents.

Key ResponsibilitiesAI Agent Development

Design, develop, and test production-grade extraction agents that convert unstructured documents into structured schemas.
Support multiple schema variants and complex document types.

Document Ingestion Engineering

Build robust ingestion pipelines capable of handling:
Low-quality scans
Multi-generation photocopies
Mixed image and text PDFs
Inconsistent layouts and degraded inputs

Confidence Scoring & Routing

Develop per-field confidence models.
Implement intelligent routing mechanisms:
High-confidence outputs flow automatically.
Low-confidence fields are escalated to review queues.

Knowledge Engineering

Build and configure RAG-based knowledge systems.
Ensure proper grounding and minimize hallucinations for business-critical document processing.

Human-in-the-Loop (HITL) & Governance

Implement review workflows and escalation mechanisms.
Build feedback loops where reviewer corrections become training signals.
Incorporate prompt-injection mitigation and secure processing controls.

Reprocessing & Change Detection

Develop comparison and diff mechanisms to identify material changes between document versions.

Performance Optimization

Optimize model selection, latency, token usage, and overall inference costs.
Improve throughput and operational efficiency across the pipeline.

Technical Leadership

Mentor AI engineers and establish best practices for extraction, confidence scoring, and agent orchestration.

Required Skills & ExperienceAWS & Amazon Bedrock

Strong experience designing cloud-native architectures on AWS.
Hands-on expertise with Amazon Bedrock, including:
Prompt engineering
Context engineering
Model evaluation
Cost and latency optimization

Document AI

Experience with OCR technologies such as Textract or equivalent.
Expertise in VLM-based document extraction and layout-aware processing.
Ability to bridge the gap between OCR outputs and structured schemas.
Familiarity with Firecracker/MicroVM sandboxing for secure processing of untrusted PDFs.

Structured Data Extraction

Proven experience extracting structured information from long-form documents.
Knowledge of confidence estimation and calibration techniques.
Experience processing large PDF files with high accuracy.

Agentic AI Frameworks

Hands-on experience with:
LangGraph
LangChain
Multi-step reasoning workflows
Tool-use protocols
State management for autonomous agents

RAG & LLM Pipelines

Production experience building:
Retrieval-Augmented Generation (RAG) systems
Chunking strategies
Retrieval mechanisms
Grounding frameworks

Human-in-the-Loop Systems

Experience designing review workflows where AI outputs are validated and improved through human feedback.

End-to-End Ownership

Ability to own systems from ingestion and inference through evaluation, monitoring, and continuous improvement.

Preferred Qualifications

Experience with confidence calibration and selective prediction techniques.
Expertise in evaluation frameworks and golden datasets.
Knowledge of field-level accuracy measurement, precision, recall, drift detection, and eval-driven design.
Experience working with proprietary datasets and data governance requirements.
Familiarity with Commercial Real Estate (CRE) data structures and domain-specific workflows.

Why Join Us?

Opportunity to build enterprise-scale AI Agent platforms.
Work with cutting-edge technologies including LLMs, RAG, Amazon Bedrock, LangGraph, and Document AI.
Collaborate with AI Architects and Data Engineers on next-generation intelligent systems.
Fully remote flexibility with opportunities in Pune and Chennai.
Ownership of high-impact AI solutions with real-world business applications.

Pay: ₹80,000.00 - ₹90,000.00 per month

Experience:

Senior AI Engineer (AI Agents & Document Intelligence): 6 years (Required)

Work Location: Remote

Quick apply

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