Remote AI Engineer
Huzzle Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Huzzle. Remote, India · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Put AI and machine-learning models into production, then tune them for speed, reliability and scale
- Develop LLM-based applications and shape the prompts that guide their generative AI features
- Build backend services and APIs that connect AI capabilities with web and mobile applications
- Train and evaluate models using structured and unstructured data, including retrieval pipelines and vector stores
- Coordinate with product, engineering and data colleagues to translate business needs into AI features
What you bring
- At least three years working in software engineering, machine learning or AI development
- Strong Python ability, plus experience with frameworks such as PyTorch, TensorFlow or another listed option
- Practical experience using OpenAI, Anthropic, Gemini or a comparable AI service
- You have created RESTful interfaces and backend services designed to scale
Who this fits
This full-time contractor role suits a mid-level AI engineer who can work independently and collaborate with product, engineering and data teams. It is remote from India.
From the employer
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