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Open nowFirst seen 18 hours ago

Senior AI/ML Engineer

Skaleart31 open roles

Where
Colombo, Sri Lanka, Remote
Work mode
Remote
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Your applicationOpen nowSenior AI/ML EngineerSkaleart · Colombo, Sri Lanka, Remote

  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.

15.1% 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. 2.4%1 day
  2. 6.5%3 days
  3. 15.1%7 days
This job: first seen 18 hours ago

Skaleart median: 1 days open

The posting

Job Overview

Are you passionate about building real-world AI solutions and working with fast-moving global startups?

Were looking for AI/ML Engineers who can bridge the gap between theory and practical deployment engineers who are eager to build, deploy, and scale AI systems that power real-world products.

In this role, you'll gain hands-on exposure to applied AI, MLOps, and cloud deployment, while collaborating with international teams and contributing to innovative, high-impact projects across global tech ecosystems.

Job Responsibilities

  • Architect and develop advanced systems for AI research, agent workflows, and cognitive tools.
  • Design and optimize LLM inference flows, embeddings pipelines, and RAG architectures.
  • Integrate LangChain/LangGraph with vector databases and LLM runtimes.
  • Implement graph reasoning layers using GraphDBs (Neo4j, Memgraph).
  • Build MCP tools and multi-agent (A2A) communication pipelines.
  • Collaborate with research teams to operationalize experiments and technical explorations.
  • Maintain engineering excellence through documentation, testing, security, and code quality.
  • Contribute to system design reviews, architecture discussions, and R&D investigations.

Job requirements

  • Strong experience with LLM systems, embeddings, RAG flows, and inference pipelines.
  • Advanced proficiency with LangChain, LangGraph, and agent orchestration tools.
  • Deep knowledge of vector databases and graph reasoning systems.
  • Expertise in designing distributed, AI-integrated software architectures.
  • Strong engineering discipline, documentation, and secure code practices.
  • Comfort working in experimental and research-first engineering environments.
  • Strong experience in React/Next.js (Frontend) or Python/Node.js (Backend) is required. Proficiency in both will be considered a significant advantage, in addition to the AI-focused skill set outlined above.
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