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Volga Partners
Volga Partners
1,001 – 5,000 Employees
H1B Visa SponsorArtificial IntelligenceB2BEnterprise
Volga Partners is an enterprise technology services firm focused on artificial intelligence, machine learning, and software delivery. Its work includes data annotation and labeling, content moderation, linguistic services, generative AI customer service platforms, and IT projects spanning web, mobile, full-stack development, cybersecurity advisory, and e-commerce. The company supports these services through a large multilingual crowd workforce and remote, on-demand resources, helping enterprise clients develop and manage scalable AI and software solutions.
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AI and Backend Engineer

Build production AI and backend systems for Volga Partners, including LLM, RAG, and automation solutions. Train models, integrate APIs, and turn machine-learning research into scalable client applications.

PKPakistan
Rs 150,000 – Rs 400,000 / month
HybridFull-timeMiddleSeniorEnglish RequiredBackend EngineerSoftware Engineer
AWSAzureCloudDockerGoogle Cloud PlatformKerasKubernetesPyTorchSQL

Description

  • Design, develop, and deploy AI solutions spanning LLMs, RAG, agentic workflows, and machine-learning or deep-learning systems.
  • Choose models and architectures by weighing accuracy, latency, cost, and implementation complexity.
  • Train and fine-tune models with PyTorch or Keras, covering data preparation and evaluation.
  • Implement and benchmark research techniques before incorporating them into products.
  • Develop APIs, inference pipelines, and backend integrations.
  • Define evaluation metrics and monitor system quality, latency, and cost.
  • Monitor deployed AI systems, troubleshoot issues, and improve their performance.
  • Validate production readiness and detect regressions before they affect users.
  • Work with software engineering and product teams to embed AI capabilities into applications.
  • Participate in technical discussions and engineering decisions.
  • Record system architecture, implementation strategies, and significant technical decisions.
  • Review and assess machine-learning research papers.
  • Turn promising research approaches into implementations and reproduce results when relevant.
  • Adapt emerging AI techniques for reliable production use.
  • Support ongoing innovation across AI and engineering initiatives.
  • Coordinate with engineering leaders, product teams, software and backend engineers, and global AI research and development groups.
  • Deliver production-ready AI systems with measurable results.
  • Convert research findings into practical engineering solutions.
  • Create and share technical documentation to support scalable work.

Requirements

  • At least three years of hands-on AI or machine-learning engineering experience, including deployment of at least one production system.
  • Solid NLP knowledge covering tokenization, embeddings, classification, named entity recognition, and information extraction.
  • Strong software engineering ability in coding, Git, testing, API and system design, and debugging.
  • Practical experience training models with PyTorch or Keras.
  • Understanding of generative architectures such as Transformers and variational autoencoders.
  • Production experience with LLMs, including RAG, embeddings and vector databases, and prompt or evaluation design.
  • Experience with FastAPI or a comparable framework, Docker, and one cloud platform such as AWS, GCP, or Azure.
  • Ability to interpret machine-learning research and convert concepts into functional code.
  • Preferred: Experience fine-tuning LLMs with LoRA or reinforcement-learning-based methods.
  • Preferred: Knowledge of SQL databases.
  • Preferred: Familiarity with agent frameworks such as LangGraph or LangChain.
  • Preferred: Experience with Kubernetes, CI/CD, and model-serving infrastructure.
  • Preferred: Open-source contributions or experience reproducing published research results.
  • Working hours are 7:00 PM to 4:00 AM PKT.

Benefits

  • Engagement is through Volga Partners, with Deel supporting contract and payment administration.
  • A 90-day probation period applies.
  • Medical insurance is sponsored by the company.
  • Paid time off is provided according to company policy.
  • Company-observed holidays include holiday pay.
  • Volga Partners offers career development and professional growth opportunities within its expanding AI organization.

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