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Senior AI Engineer

Company: Bilstech
Job Type: Full-time - Remote
Experience Level: Senior (3+ Years)

Role Overview

Bilstech is seeking a Senior AI Engineer with 3+ years of professional experience to design, build, and deploy production-grade AI systems. This is a high-ownership role focused on transforming cutting-edge research into scalable, real-world solutions—particularly in Large Language Models (LLMs) and Generative AI.

You will serve as a technical leader, working closely with clients, engineers, and stakeholders to architect reliable AI systems that deliver measurable business impact.

Key Responsibilities

End-to-End AI Ownership

  • Lead the complete AI lifecycle from discovery and feasibility to production deployment and optimization
  • Own architectural decisions for scalable AI systems

Advanced Model Engineering

  • Design and optimize AI solutions including RAG pipelines, fine-tuned LLMs (LoRA, PEFT), and embedding-based search systems
  • Build intelligent, autonomous AI agents

Production-Grade MLOps

  • Develop and maintain ML pipelines using tools such as SageMaker, MLflow, or Vertex AI
  • Ensure inference systems are cost-efficient, scalable, and highly available

System Performance & Optimization

  • Implement acceleration techniques such as quantization, distillation, and GPU orchestration
  • Optimize models for real-time use cases with sub-second latency

Client & Stakeholder Consulting

  • Participate in client meetings to define scope, manage technical expectations, and propose AI-driven solutions
  • Clearly communicate technical trade-offs and business value

Technical Leadership

  • Mentor engineers and enforce high standards through code reviews
  • Promote Responsible AI practices including security, bias mitigation, and compliance

Cross-Functional Collaboration

  • Work closely with Data Engineering and DevOps teams
  • Integrate AI capabilities into broader microservices and production systems

Requirements

Experience

  • 3+ years of professional experience in AI/ML engineering
  • Proven experience deploying models into production environments (beyond experimentation)

Core Technical Skills

  • Expert-level Python
  • Strong hands-on experience with PyTorch or TensorFlow

Generative AI & LLMs

  • Practical experience with RAG architectures, vector databases, and embeddings
  • Experience fine-tuning LLMs using QLoRA, PEFT, or similar techniques

Infrastructure & MLOps

  • Experience with AWS or GCP
  • Strong knowledge of Docker, Kubernetes, and CI/CD pipelines for ML workloads

Distributed & High-Performance Systems

  • Familiarity with GPU acceleration, parallel computing, and real-time data pipelines
  • Experience with Kafka, Spark, or similar streaming technologies

Communication & Consulting

  • Ability to explain complex AI concepts to non-technical stakeholders
  • Customer-centric mindset when designing solutions

Education

  • Bachelor’s or Master’s degree in Computer Science, AI, or a related quantitative fieldTop of Form

Apply directly by sharing your CV on career@bilstechinc.com

Job Types: Full-time, Contract

Work Location: Remote

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