Machine Learning Engineer – LLMs, NLP & Document Intelligence

We are seeking an experienced Machine Learning Engineer (LLMs & NLP) to build document intelligence and reasoning pipelines. This role focuses on extracting structured, verifiable data from text-heavy and semi-structured documents such as specifications, invoices, reports, and technical documentation.

The emphasis is on high-precision extraction, document version awareness, and audit-ready outputs, not conversational chat systems.

Key Responsibilities

• Design and implement LLM-powered pipelines for document understanding and structured data extraction
• Build and maintain RAG workflows over large collections of versioned project documents
• Extract text, tables, metadata, and domain-specific fields with page-level traceability
• Implement certainty scoring, conflict detection, and human-in-the-loop validation logic
• Ensure outputs are deterministic, structured, and linked to exact document versions and project stages
• Collaborate with Data Engineers and Vision ML Engineers
• Optimize prompts, retrieval strategies, chunking, and ranking for high accuracy
• Monitor and continuously improve extraction quality in production
• Reference: 7j-bLLuht5u-tfJrc1_7yB1Elknk0Ffk9rNvfMCItZQLyLfSEBiYweuwAsZPeGeY

Required Qualifications for Medior

• Strong experience with LLMs, NLP, or document intelligence systems
• Proficiency in Python and modern ML tooling
• Hands-on experience with RAG architectures and vector search
• Solid understanding of structured outputs, schema enforcement, and validation workflows
• Experience working with complex, long-form, or regulated documents
• Strong analytical thinking and attention to detail
• English level B2 or higher

Additional Requirements for Senior / Lead Profiles 

• Experience with LLM fine-tuning (SFT, LoRA, adapters) and model evaluation
• Experience deploying LLM-powered systems in production at scale
• Strong understanding of LLM infrastructure, cost optimization, and monitoring
• Experience with cloud platforms (AWS and/or Azure), including managed LLM services
• Experience designing API-based AI services (e.g. FastAPI)
• Ability to define AI architecture, mentor engineers, and lead technical decisions

What We Offer

• Opportunity to work on complex, real-world data engineering challenges with direct impact on the product
• Modern and evolving tech stack with room to influence architectural and technical decisions
• Continuous education and professional development, including access to courses, training programs, conferences, and learning resources
• Support for developing both technical and soft skills, with mentorship and knowledge-sharing within the team
• Collaborative and engineering-driven work culture
• Hybrid work model with flexible work-from-home arrangements
• Compensation based on experience and expertise