Job Description

Role : Generative AI (Gen AI) Developer

Location : Onsite/USA

Who are we looking for?

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 LLM models . They also understand Retrieval-Augmented Generation (RAG) models, vector databases, and AWS Serverless Technologies to build scalable and efficient AI solutions.

Key Responsibilities:

 3+ years of experience in AI/ML development, with a focus on Generative AI and LLMs .

 Strong proficiency in Python and experience with AI/ML-focused libraries (e.g., PyTorch, TensorFlow, LangChain, 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 (e.g., Pinecone, OpenSearch ).

 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.

Process Skills:

 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 & deploy intelligent AI-driven solutions.

 Ability to 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.

Preferred Qualifications :

 Somebody who has at least 6+ years of work experience.

 Education qualification: Any degree from a reputed college

 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 (e.g., Scikit-learn, pandas, Num-py).

 Knowledge of AWS AI services , such as Comprehend (NLP), Textract (document processing), Rekognition (image analysis), etc .

Skills

PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 55 SECONDARY COMPETENCY : Python SECONDARY SKILL : Python SECONDARY SKILL PERCENTAGE : 25 TERTIARY COMPETENCY : Cloud Apps TERTIARY SKILL : Amazon Web Services-Cloud platform TERTIARY SKILL PERCENTAGE : 20