BENCH+ PROFILE

Nikolay

AI Integration Engineer
LLM, RAG, agent orchestration, document intelligence, and AI workflow integration for B2B systems

Senior hands-on AI integration specialist with a software engineering background, suited to turning ambiguous B2B workflow problems into LLM-enabled systems through discovery, architecture, evaluation, API integration, and delivery support.

BEST-FIT USE CASE

B2B AI integration work where business workflows need to be analyzed, decomposed, validated with users or stakeholders, and implemented as LLM, RAG, document-processing, or assistant-style systems.

Not the primary fit: Pure platform operations, narrow backend-only maintenance, or roles centered mainly on model research without product integration responsibilities.

EVIDENCE HIGHLIGHTS

What supports the assessment

Designed and implemented an AI document-analysis and lead-matching pipeline using parsing, enrichment, and catalog matching.

Automated preparation of structured financial reporting from document extraction and validation workflows.

Built offline assistant functionality for a specialist aviation workflow.

Created RAG-based knowledge systems for FAQ and internal knowledge-base scenarios.

Developed a sales quality-control system using AI analysis of calls and adaptable evaluation criteria.

Built an LLM-based code-quality scoring proof of concept and then led a small team through production delivery.

Developed an LLM pipeline for technical assessment content generation.

Implemented earlier ML and low-level inference work, including mobile neural-network optimization and embedded signal-processing software.

WORKING STYLE

How they show up

Describes work in terms of business problem, technical approach, validation method, and delivery outcome.
Works directly with stakeholders during discovery and requirements clarification.
Uses staged validation before broader integration of LLM components.
Reviews AI-generated code with additional automated and independent checking loops.
Can operate as an individual contributor or coordinate a small delivery team on key stages.

KEY STRENGTHS

Connects discovery, architecture, implementation, evaluation, and integration for AI-enabled business workflows.
Has delivered document-processing, reporting automation, knowledge-search, specialist-assistant, and sales-quality AI systems.
Separates LLM-core validation from later application integration to reduce delivery risk.
Uses labeled test sets, error analysis, and independent review loops when validating LLM behavior.
Combines hands-on engineering with stakeholder communication and requirements shaping.
Has led small engineering teams while retaining hands-on technical responsibility.
Brings earlier low-level C++ and ML inference experience alongside current LLM integration work.

PRIMARY SKILLS

Large Language ModelsRAGAI agentsOpenAI APILangChainLangGraphLlamaIndexPythonAPI integrationLLM evaluation

ADDITIONAL TECHNOLOGIES

C++SQLFastAPIFlaskPydanticPostgreSQLDockerAWSGoogle Cloud PlatformTensorFlow LiteMachine learningProduct discovery

INDUSTRY EXPERIENCE

AI / DataEdTechHealthcareIoTSaaSEnterprise SoftwareFintechHRTechAutomotive

ROLE MATCH

AI Integration EngineerStrong

AI Product / Transformation LeadPartial

Solutions EngineerPartial

Backend EngineerPartial