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Open nowFirst seen 2 days ago

Lead Gen AI Engineer

George Bernard Consulting185 open roles

Where
Colombo, Sri Lanka
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Your applicationOpen nowLead Gen AI EngineerGeorge Bernard Consulting · Colombo, Sri Lanka
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

  • Lead the design, development, and implementation of scalable Generative AI and Agentic AI solutions
  • Design and develop API-based AI applications and integrations using modern LLM technologies
  • Build and maintain AI infrastructure, data pipelines, and ETL workflows for structured and unstructured data
  • Conduct experiments to evaluate and adopt new LLM models, tools, and capabilities
  • Troubleshoot and resolve software, integration, performance, and design-related issues
  • Collaborate with architects, engineers, product teams, and stakeholders to deliver
  • AI solutions aligned with business requirements
  • Mentor and guide junior engineers on AI/ML development best practices
  • Ensure AI model quality, performance, scalability, and reliability through testing and validation
  • Contribute to continuous improvement, innovation, and AI research initiatives
  • Communicate project progress, technical solutions, and outcomes effectively to stakeholders

Requirements

  • 5–7 years of experience in AI/ML engineering, software engineering, or data analytics with strong exposure to Generative AI
  • Strong programming skills in Python, PySpark, Java, or similar technologies
  • Hands-on experience integrating LLMs such as OpenAI GPT, Claude, PaLM, Cohere, or similar models through APIs
  • Strong understanding of prompt engineering, Agentic AI, and LLM-based solution design
  • Experience with AI orchestration frameworks such as LangChain or similar
  • Knowledge of vector databases such as Pinecone, Chroma, or FAISS
  • Experience with machine learning frameworks such as TensorFlow or PyTorch
  • Strong understanding of software engineering principles, data structures, and algorithms
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud
  • Familiarity with data engineering, ETL tools, and scalable AI infrastructure
  • Bachelor's or Master's Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field
  • Preferred Skills
  • Experience with NLP, computer vision, or advanced AI applications
  • Understanding of ethical AI practices and bias mitigation strategies
  • Experience building enterprise-scale AI solutions and automation workflows
  • Exposure to DevOps, MLOps, or AI deployment pipelines

Core Competencies

  • Strong analytical thinking and problem-solving abilities
  • Ability to innovate and adapt to rapidly evolving AI technologies
  • Strong communication and stakeholder management skills
  • Leadership and mentoring capabilities
  • Ability to deliver scalable and efficient AI solutions in a fast-paced environment
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