AI Engineer at Nomia

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Natural Language Processing, RAG Architecture, Langchain, Vector Databases, Large Language Models, PyTorch, TensorFlow, Scikit-learn, NLTK, SpaCy, Transformers, RESTful APIs, Prompt Engineering, Semantic Search, Machine Learning

Industry

Business Consulting and Services

Description

Nomia is transforming the way organizations manage tail spend procurement. Our AI-powered SaaS platform combines cutting-edge technology with deep human procurement expertise to simplify sourcing, drive compliance, and unlock measurable value. With a fast-growing global customer base and teams across London, Dubai, Singapore, Krakow, Chicago, and India, we’re building a rocket ship for growth, and we’re looking for passionate, high-impact people to join us. The Role This role is critical to driving innovation and building intelligent systems that enable knowledge retrieval and language understanding across the Nomia platform. You will focus on implementing NLP pipelines, Retrieval-Augmented Generation (RAG) architectures, and integrating large language models to solve real-world business problems at Nomia. Roles and Responsibilities Design and develop machine learning models, with a focus on Natural Language Processing (NLP) use cases Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using tools like Langchain and vector databases Fine-tune and integrate large language models (e.g., OpenAI, Llama, Cohere) into internal workflows and applications Develop scalable and production-ready AI services using Python and relevant libraries Perform data preprocessing, tokenization, stemming, and vectorization using libraries such as NLTK, spaCy, and Transformers Design and maintain evaluation frameworks to measure the accuracy, relevance, and latency of NLP models Collaborate with data engineers, backend developers, and product managers to integrate AI models into applications Conduct experiments and ablation studies to validate model choices and configurations Manage, monitor, and maintain model performance in production environments Document model assumptions, training pipelines, APIs, and deployment steps clearly Stay abreast of advancements in LLMs, embeddings, and retrieval techniques Participate in code reviews, technical discussions, and cross-functional meetings Identify and solve practical NLP problems in areas like question answering, summarization, entity extraction, and semantic search Support continuous improvement by automating retraining pipelines and incorporating user feedback into iterative model refinement Qualifications/Skills 3–6 years of hands-on experience in AI, Machine Learning and NLP Proficient in Python, with strong command of AI and NLP libraries (e.g., NLTK, spaCy, Transformers, scikit-learn, PyTorch/TensorFlow) Experience with Langchain and RAG architecture is essential Strong understanding of vector libraries & databases (e.g., FAISS, Pinecone, Weaviate) Familiarity with LLM APIs and prompt engineering Exposure to retrieval, ranking, and semantic similarity techniques Proficient in writing clean, maintainable code and well-documented ML pipelines Experience with integrating with AI models using RESTful APIs or microservices General Information Adhere to Nomia’s data protection and information security policies at all times. Promote diversity and inclusion in line with Nomia’s core values. This is a hybrid role, with three office days per week required, potentially more during training or as requested by your supervisor. Contribute to continuous improvement in systems and processes. Please note that this role description is a guideline, and duties may evolve over time.

Responsibilities

Design and develop NLP pipelines and RAG architectures to enable knowledge retrieval and language understanding. Integrate and fine-tune large language models into production-ready AI services to solve business problems.