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Open nowFirst seen 13 hours ago

Senior / Lead GenAI Engineer

Skaleart31 open roles

Where
Colombo, Sri Lanka
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Your applicationOpen nowSenior / Lead GenAI EngineerSkaleart · Colombo, Sri Lanka

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Skaleart's own form.

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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market. Skaleart postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: first seen 13 hours ago

Skaleart median: 1 days open

The posting

About the role

Build and ship production-grade applications powered by large language models and generative AI.

Responsibilities

  • Design and build LLM-powered applications such as RAG systems, chatbots and content generation tools
  • Develop prompts, retrieval pipelines and evaluation frameworks
  • Fine-tune or adapt models where needed
  • Integrate LLM APIs and open-source models into existing products
  • Monitor quality, latency, cost and safety, and add guardrails
  • Work closely with product and engineering teams to deliver use cases end to end

Requirements

  • Strong Python and software engineering fundamentals
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini or similar) and frameworks such as LangChain or LlamaIndex
  • Proven experience building RAG systems with embeddings and vector databases (Pinecone, pgvector, FAISS or similar)
  • Experience evaluating LLM outputs and reducing hallucinations
  • Experience with REST APIs, cloud deployment and Git
  • Degree in Computer Science, Engineering or a related field

Nice to have

  • Fine-tuning experience (LoRA, PEFT) with Hugging Face
  • Agent frameworks (LangGraph, CrewAI) and tool calling
  • Knowledge of LLM observability tools and prompt versioning
  • Experience with multimodal models
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