Envion Software
Role category

Hire AI Engineers

Hire an AI engineer when a product needs a defined intelligent capability, usable data, measurable evaluation, production integration, and ongoing monitoring — not a demonstration alone. Envion matches candidates to the use case, model approach, data rights, risk, latency, cost, evaluation method, human oversight, and integration environment.

Available ai engineers

Sample profiles — verified people shared during matching

BH

Bohdan H.

Senior AI Engineer

Poland / (GMT +2:00)

Bohdan is a senior ai engineer with 14 years of commercial experience, specializing in LangChain, Prompt Engineering. Recently delivered a healthcare platform with appointment scheduling and secure records. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

14 years

Availability

Full-time

LangChainPrompt EngineeringAWSTensorFlowRAGLLMs+8
View profile
KK

Kostiantyn K.

Senior AI Engineer

Ukraine / (GMT +2:00)

Kostiantyn is a senior ai engineer with 13 years of commercial experience, specializing in Python, Fine-tuning. Recently led development of a fintech product with payment processing, KYC flows, and reporting. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

13 years

Availability

Part-time & Full-time

PythonFine-tuningNLPComputer VisionAWSMLOpsVector DatabasesPyTorch+7
View profile
TN

Taras N.

Middle+ AI Engineer

Ukraine / (GMT +2:00)

Taras is a middle+ ai engineer with 9 years of commercial experience, specializing in Prompt Engineering, Docker. Recently modernized an e-learning platform with courses, assessments, and progress tracking. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

9 years

Availability

Part-time & Full-time

Prompt EngineeringDockerNLPVector DatabasesFine-tuningLangChain+8
View profile
SG

Serhii G.

Senior AI Engineer

Ukraine / (GMT +2:00)

Serhii is a senior ai engineer with 14 years of commercial experience, specializing in Computer Vision, PyTorch. Recently built and shipped a legal-tech platform with document automation. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

14 years

Availability

Full-time

Computer VisionPyTorchPythonLLMsAWSFine-tuning+8
View profile
MV

Matvii V.

Middle+ AI Engineer

Poland / (GMT +2:00)

Matvii is a middle+ ai engineer with 8 years of commercial experience, specializing in TensorFlow, Vector Databases. Recently automated a retail operations platform with inventory and POS integrations. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

8 years

Availability

Part-time & Full-time

TensorFlowVector DatabasesRAGPrompt EngineeringAWSLangChainDockerComputer Vision+7
View profile
VN

Vladyslav N.

Senior AI Engineer

Poland / (GMT +2:00)

Vladyslav is a senior ai engineer with 13 years of commercial experience, specializing in RAG, PyTorch. Recently engineered a multi-tenant SaaS platform with subscription billing and role-based access. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

13 years

Availability

Part-time & Full-time

RAGPyTorchLangChainMLOpsDockerComputer VisionFastAPIFine-tuning+7
View profile
TG

Taras G.

Middle+ AI Engineer

Ukraine / (GMT +2:00)

Taras is a middle+ ai engineer with 5 years of commercial experience, specializing in Fine-tuning, Python. Recently automated a retail operations platform with inventory and POS integrations. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

5 years

Availability

Full-time

Fine-tuningPythonDockerLLMsTensorFlowPyTorchComputer Vision+8
View profile
NV

Nazar V.

Middle+ AI Engineer

Ukraine / (GMT +2:00)

Nazar is a middle+ ai engineer with 8 years of commercial experience, specializing in Python, Computer Vision. Recently built and shipped a multi-tenant SaaS platform with subscription billing and role-based access. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

8 years

Availability

Full-time

PythonComputer VisionLangChainRAGDockerPrompt EngineeringFastAPI+8
View profile
YD

Yaroslav D.

Senior AI Engineer

Poland / (GMT +2:00)

Yaroslav is a senior ai engineer with 7 years of commercial experience, specializing in Python, RAG. Recently scaled a fintech product with payment processing, KYC flows, and reporting. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

7 years

Availability

Full-time

PythonRAGTensorFlowLLMsMLOpsPrompt EngineeringLangChain+8
View profile
LD

Lev D.

Senior AI Engineer

Poland / (GMT +2:00)

Lev is a senior ai engineer with 8 years of commercial experience, specializing in Computer Vision, Fine-tuning. Recently integrated an e-learning platform with courses, assessments, and progress tracking. Works comfortably inside existing engineering processes — code review, CI/CD, and weekly delivery cadence.

Experience

8 years

Availability

Full-time

Computer VisionFine-tuningLangChainFastAPIPyTorchMLOps+8
View profile

Where these experts contribute

  • Products adding an AI feature that must survive real users and data.
  • Teams that have a working demo but no production path.
  • Organizations that need evaluation, monitoring, and cost control around models.

When to hire a AI engineer

  • A defined AI use case needs production engineering.
  • LLM, RAG, or agent workflows need evaluation and guardrails.
  • Model quality, latency, or cost must be measured and owned.

When another path is safer

  • If readiness is unclear, start with the AI Readiness Assessment.
  • If an AI initiative has stalled, the AI Project Failure Assessment comes first.
  • Data plumbing without modeling may be a data-engineering engagement.

Skills and evidence to evaluate

  • Real production or validated prototype contributions.
  • Evaluation method — how quality was measured, not asserted.
  • Data context: rights, preparation, and limitations.
  • Exact model and integration ownership on referenced work.

Expertise covered in this category

Matching inventory — each focus area maps to verified expert profiles shared during the matching process.

LLM and retrieval-augmented generationAI agents and workflow automationNatural language processingRecommendation and personalizationComputer visionPredictive analyticsML platforms and MLOpsData pipelines and feature engineeringAI evaluation, safety, and monitoringRapid AI product and MVP delivery

FAQ

Questions about hiring a AI engineer

Start here

Hire AI Engineer

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