Huzzle Ltd Logo

Huzzle Ltd

Remote AI Engineer

Reposted 2 Months Ago
Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
Design, develop, and deploy ML models and LLM-based applications; implement RAG and vector database pipelines; fine-tune models, optimize inference and scalability; build REST APIs and backend integrations; monitor AI system performance; collaborate cross-functionally and stay current with AI advancements.
The summary above was generated by AI
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

Similar Jobs

6 Hours Ago
In-Office or Remote
Mid level
Mid level
Information Technology • Software • Database
Build and operate an internal agentic AI platform, integrating SaaS systems, APIs, data, permissions, and MCP tools. Develop production AI agents with retrieval, embeddings, evaluation, tracing, and cost optimization. Deploy cloud-based internal tools, establish AI development standards, support adoption across teams, and collaborate with technical and non-technical users.
Top Skills: AWSBitbucketCi/CdData WarehousesDjangoDockerGitGCPIdentity And Access ManagementLangfuseLanggraphLlm ApisMcpNext.JsPgvectorPostgresPythonReactRelational DatabasesSQL
5 Days Ago
Remote
India
Mid level
Mid level
AdTech • Marketing Tech
Maintain and optimize production LLM and VLM services, including Flask/FastAPI microservices, Dramatiq queues, REST APIs, and Uvicorn/Gunicorn deployments. Design prompt strategies, feedback and evaluation pipelines, and AI routing integrations while monitoring latency, token usage, quality, and errors. Collaborate with engineering teams on scalable microservices, Dockerized deployments, CI/CD, security, and cloud infrastructure.
Top Skills: AWSCeleryCi/CdDockerDramatiqFastapiFlaskGCPGunicornLlmsOpenrouterPythonRest ApisRqUvicornVlms
12 Days Ago
In-Office or Remote
Entry level
Entry level
Artificial Intelligence • Logistics • Software • Automation
Build and ship end-to-end product features across React frontends and Django backends. Design data models, RESTful APIs, responsive user interfaces, and algorithmic or AI-driven logic involving scoring, ranking, and decision rules. Optimize performance through efficient queries and caching, write production-ready code, and work independently with a distributed startup team. Experience with GCP, Redis, Docker, Kubernetes, React Native, or AI coding assistants is advantageous.
Top Skills: Claude CodeCursorDjangoDjango Rest FrameworkDockerGCPKubernetesMaterial UiPythonReactReact NativeRedisRest Apis

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account