Software Engineer

Gen AI Engineer

Job Description
Brightly Software is seeking a high performer to join our Product team in the role of Gen AI engineer to drive best in class client - facing AI features by creating and delivering insights that advise client decisions tomorrow.

Role
As a Gen AI Engineer , you will play a critical role in building AI offering s for Brightly. Y ou will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster . This will include the following:

• Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients.
• Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases.
• Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines.

Key Responsibilities

• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS OpenSearch
• D evelop GenAI applications using Hugging Face Transformers, LangChain , and Llama related frameworks
• Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building.
• Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong ex erience in predictive and stastical modelling .
• Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines).
• Understanding and development of state management workflows using Langraph .
• Engineer and evaluate prompts, including prompt chaining and output quality assessment
• Apply NLP and transformer model expertise to solve language tasks
• Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes
• Monitor and optimize model and pipeline performance for scalability and efficiency
• Communicate technical concepts clearly to cross-functional and non-technical stakeholders
• Thrive in a fast-paced, lean environment and contribute to scalable GenAI system design

Qualifications

• Bachelor's degree is required
• 2-4 years of experience of total experience with a strong focus on AI and ML and 1+ years in core GenAI Engineer ing
• Demonstrated expertise in working with large language models (LLMs) and generative AI systems, including both text-based and multimodal models.
• S trong programming skills in Python, including proficiency with data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch .
• Familiarity with MLOps principles and tools for automating and streamlining the ML lifecycle.
• Experience working with agentic AI .
• Capable of building Retrieval-Augmented Generation (RAG) pipelines leveraging vector stores like Pinecone, Chroma, or FAISS.
• St rong programming skills in Python, with experience using leading AI/ML libraries such as Hugging Face Transformers and LangChain .
• Practical experience in working with vector databases and embedding methodologies for efficient information retrieval.
• P ossess experience in developing and exposing API endpoints for accessing AI model capabilities using frameworks like FastAPI .
• Knowledgeable in prompt engineering techniques, including prompt chaining and performance evaluation strategies .
• Solid grasp of natural language processing (NLP) fundamentals and transformer-based model architectures.
• Experience in deploying machine learning models to cloud platforms (preferably AWS) and containerized environments using Docker or Kubernetes.
• Skilled in fine-tuning and assessing open-source models using methods such as LoRA , PEFT, and supervised training.
• Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly

Senior Gen AI Engineer