Associate Software Engineer

Position

Mid-Level Generative AI (Gen AI) Developer

Onsite (USA) - Jersey City

We are seeking a Mid-Level Generative AI Developer with strong expertise in Python, AI-focused Python libraries, and AWS services to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands‑on experience with AWS Bedrock, AWS Knowledge Base, and a deep understanding of large language models (LLMs). They will also understand retrieval‑augmented generation (RAG) models, vector databases, and AWS serverless technologies to build scalable and efficient AI solutions.

• 3+ years of experience in AI/ML development, focusing on Generative AI and LLMs.
• Strong proficiency in Python and experience with AI/ML‑focused libraries such as PyTorch, Tensor Flow, Lang Chain, and Transformers.
• Hands‑on experience with AWS Bedrock and AWS Knowledge Base.
• Solid understanding of LLM models (GPT, Claude, Llama, Falcon, etc.) and their applications.
• Experience with RAG (Retrieval‑Augmented Generation) models and vector databases such as Pinecone and Open Search.
• Expertise in AWS Serverless Technologies, including Lambda, API Gateway, Step Functions, S3, and DynamoDB.
• Familiarity with MLOps practices, CI/CD pipelines for AI models, and cloud‑based AI deployment.
• Strong problem‑solving skills, analytical thinking, and ability to work independently or in a team environment.

• Develop and fine‑tune generative AI solutions using foundation models.
• Develop and optimize AI solutions using Python and AI‑related Python libraries.
• Leverage AWS AI Services & AWS Serverless technologies to build and deploy intelligent AI‑driven solutions.
• Implement Retrieval‑Augmented Generation (RAG) techniques using vector databases to improve AI responses.
• Work closely with cross‑functional teams to design and deploy AI‑driven applications in a cloud‑native environment.
• Stay updated on emerging AI trends, best practices, and advancements in LLMs and generative AI models.
• Collaborate with data engineers and domain experts to integrate AI solutions into existing insurance platforms.
• Ensure compliance with industry regulations and data security standards while handling sensitive insurance data.

• Knowledge of prompt engineering and techniques to enhance AI response accuracy.
• Exposure to multi‑modal AI models (text, image, speech).
• Certification in AWS AI/ML services.
• Experience with Python AI/ML‑focused libraries such as Scikit‑learn, pandas, and Num Py.
• Knowledge of AWS AI services such as Comprehend (NLP), Textract (document processing), Rekognition (image analysis), etc.

Salary range: $43,600 to $66,500