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Location
Remote (India, Pakistan, Philippines)also open in Croatia, Georgia, Serbia, Slovenia
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 15, 2026. Huzzle scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Huzzle is an early-career platform designed to connect students and recent graduates with entry-level job opportunities, internships, and career events. The company focuses on streamlining talent acquisition for employers while helping young professionals navigate entry-level career discovery. Headquartered in London, United Kingdom, it serves students and corporate recruiters across multiple industries.
Backed by Angel Invest

About Huzzle

At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.

Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.

Role Type: Full-time

Engagement: Independent Contractor

Job Summary

We are seeking a skilled and innovative Remote AI Engineer with experience in machine learning, large language models (LLMs), and AI application development. You will work closely with product managers, software engineers, and data teams to design intelligent systems, develop AI-powered features, and improve model performance across various applications.

This is an exciting opportunity for someone passionate about artificial intelligence, automation, and scalable software development.

Key Responsibilities

  • Design, develop, and deploy AI and machine learning models for production environments.
  • Build AI-powered applications using LLMs such as GPT, Claude, Gemini, or open-source models.
  • Create and optimize prompt engineering workflows for generative AI applications.
  • Develop APIs and backend systems that integrate AI services into web and mobile applications.
  • Fine-tune models and improve inference performance, latency, and scalability.
  • Work with structured and unstructured datasets for model training and evaluation.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.
  • Implement vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines.
  • Monitor AI system performance and continuously improve reliability and accuracy.
  • Stay updated with the latest advancements in AI, machine learning, and automation technologies.

Requirements

  • 3+ years of experience in software engineering, machine learning, or AI development.
  • Strong proficiency in Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face.
  • Experience working with OpenAI APIs, Anthropic, Gemini, or similar AI platforms.
  • Familiarity with LLMs, RAG architectures, vector databases, and prompt engineering.
  • Experience building REST APIs and scalable backend systems.
  • Knowledge of cloud platforms such as AWS, GCP, or Azure.
  • Understanding of CI/CD pipelines, Docker, and cloud deployment workflows.
  • Strong problem-solving and analytical thinking skills.
  • Excellent communication skills and ability to work independently in a remote environment.
  • Bachelor’s degree in Computer Science, Engineering, AI, Data Science, or related field preferred.
  • Experience deploying AI agents or autonomous workflows.
  • Familiarity with MLOps tools and AI monitoring systems.
  • Experience with Pinecone, Weaviate, FAISS, or ChromaDB.
  • Knowledge of frontend frameworks such as React or Next.js is a plus.
  • Previous experience in SaaS or startup environments.

Benefits

Competitive salary based on experience and location

Fully remote role with flexible work environment

Work on cutting-edge AI automation projects with real business impact

Strong growth opportunity into senior AI / systems roles

Exposure to LLMs, prompt engineering, and scalable AI system design

Direct collaboration with a fast-moving, high-performance team

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