
AI Engineer
10 hours ago
What are we looking for?
We're always looking for the next generation of SOLVERS who want to make a difference.
We're
not
looking for someone who just wants to "tune a model and chill." We're looking for a curious builder who thrives on turning complex data and business challenges into smart, scalable, AI-powered solutions. At NxtGen AI, AI is not just a buzzword — it's how we build tomorrow.
Job Responsibilities
- Design and implement AI/ML models
- Build and fine-tune large language models (LLMs) for intelligent document parsing, summarization, and insight generation.
- Translate business needs into scalable AI solutions that automate workflows and improve decision-making.
- Develop and maintain robust MLOps pipelines to ensure efficient model training, deployment, and monitoring.
- Collaborate closely with data scientists, engineers, and product managers to bring AI features from concept to production.
- Continuously research and apply state-of-the-art AI technologies, especially in NLP and generative AI.
- Ensure ethical, explainable, and responsible AI usage — because just because we
can
doesn't always mean we
should
. - Contribute to internal AI playbooks, reusable components, and best practices that level up the entire team.
Requirements
- 3–7 years of experience in AI/ML roles, with a strong portfolio of real-world model deployments.
- Fluency in Python and familiarity with ML libraries like TensorFlow, PyTorch, Hugging Face, or LangChain.
- Proven experience fine-tuning and operationalizing large language models (GPT, BERT, etc.).
- Solid understanding of NLP, vector search, embeddings, and knowledge graphs.
- Comfort working with cloud platforms like GCP, Azure, or AWS — extra points if you speak fluent "Vertex AI."
- Experience building scalable MLOps pipelines (CI/CD for ML, model monitoring, etc.).
- Passion for clean code, good documentation, and occasional dad jokes in comments.
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