Website:
vtion.ai
Job details:
Role Overview
As an AI Engineer, you will design, build, and deploy AI/ML solutions across VTION.ai's products and data platforms. You will work closely with Product, Data Science, Engineering, and Business teams to identify opportunities where AI can improve data intelligence, automation, decision-making, and user experience. The role will involve working with LLMs, Generative AI, NLP, machine learning models, embeddings, RAG pipelines, and AI-powered applications.
Key Responsibilities
- Design, develop, and deploy AI/ML solutions for VTION.ai's products and platforms.
- Build and integrate LLM-powered applications using models such as GPT, Claude, Gemini, or open-source LLMs.
- Develop RAG (Retrieval-Augmented Generation) pipelines, semantic search, embeddings, and vector-based solutions.
- Work on NLP and text intelligence use cases such as classification, summarization, sentiment analysis, entity extraction, and content understanding.
- Develop AI-powered features that leverage VTION's consumer and behavioral datasets.
- Build and optimize AI pipelines for large-scale data processing and inference.
- Experiment with different models, prompts, architectures, and approaches to improve accuracy, latency, and cost.
- Fine-tune or adapt models where required for specific business use cases.
- Develop APIs and services to integrate AI capabilities into existing products.
- Collaborate with Product and Engineering teams to take AI solutions from POC to production.
- Monitor model performance, reliability, latency, and cost in production.
- Implement appropriate evaluation frameworks to measure the quality and accuracy of AI outputs.
- Stay updated with developments in Generative AI, LLMs, Agentic AI, NLP, and emerging AI technologies.
Required Skills & Experience
- 2 - 4 years of experience in AI/ML Engineering, Machine Learning, Data Science, or a related field.
- Strong programming skills in Python.
- Hands-on experience with LLMs and Generative AI applications.
- Experience with frameworks/libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or equivalent.
- Strong understanding of Machine Learning and Deep Learning fundamentals.
- Experience working with NLP, embeddings, vector databases, and RAG architectures.
- Experience building and consuming REST APIs and integrating AI models into applications.
- Good understanding of databases and data processing.
- Experience with cloud platforms such as AWS, GCP, or Azure is preferred.
- Familiarity with Docker, Git, CI/CD, and production deployment is a plus.
- Strong problem-solving and analytical skills.
Good To Have
- Experience with AI Agents / Agentic workflows.
- Experience with LLM evaluation and observability.
- Experience with vector databases such as Pinecone, FAISS, Weaviate, Milvus, or Qdrant.
- Experience with fine-tuning, LoRA/PEFT, or model optimization.
- Experience working with large-scale consumer, behavioral, or unstructured datasets.
- Knowledge of MLOps and model deployment.
- Experience building AI features for SaaS or consumer-tech products.
We Are Looking For Someone Who
- Thinks beyond models and focuses on solving business problems using AI.
- Can move quickly from idea - prototype - production.
- Is comfortable experimenting, learning, and working with evolving AI technologies.
- Has strong ownership and can work independently in a fast-paced startup environment.
- Understands that a great AI product requires a balance of accuracy, scalability, speed, cost, and user experience.
Why Join VTION.ai?:
- Work on real-world AI applications using large-scale consumer intelligence data.
- Opportunity to work with the latest LLM and Generative AI technologies.
- Build AI solutions that directly influence VTION.ai's products and business.
- Work closely with experienced Product, Technology, Data Science, and Business leaders.
- High ownership, autonomy, and opportunity to grow with a rapidly evolving AI-first organization.
If you are passionate about building AI systems that solve real problems - not just AI demos - we would love to hear from you.
(ref:hirist.tech)
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