Generative AI Engineer

About Client:Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.Job Title: AI Developer (with Data Engineering skills)Skills: .Python,AWS Data Engineer,AI Developer,Generative AI,LLM,RAG,ML,Deep Learning,SQLJob Locations: Pan IndiaExperience: 6-8YearsEducation Qualification: Any GraduationWork Mode: HybridEmployment Type: ContractNotice Period: Immediate - 15 DaysInterview Mode: 2 Rounds of Technical InterviewJob Description – AI Developer (with Data Engineering skills)Role OverviewWe are seeking an experienced AI Developer with strong expertise in Generative AI, LLMs, and AWS Data Engineering. The ideal candidate will design, develop, and deploy AI-powered solutions that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AWS cloud infrastructure. This role requires a hands-on technologist with a deep understanding of AI model development, data engineering pipelines, and scalable cloud architectures.Key ResponsibilitiesDesign, build, and deploy AI-driven applications using Generative AI, LLMs, and Agentic AI frameworks.Implement RAG pipelines, including prompt engineering, vector databases, and document retrieval systems.Develop and fine-tune models using frameworks such as TensorFlow, PyTorch, or Hugging Face.Integrate external AI models and APIs (e.g., OpenAI, Anthropic, AWS Bedrock) into existing systems.Build and manage data ingestion, processing, and orchestration pipelines using AWS Glue, Lambda, and Airflow.Work with AWS services such as S3, SageMaker, Athena, EC2, ECS, SNS, Cloud Watch, Glue, Step Functions, Comprehend, and Macie to support AI workflows.Implement and manage vector databases (e.g., FAISS, Pinecone, or ChromaDB) for retrieval-based AI systems.Collaborate cross-functionally with data engineers and scientists to design scalable model training, evaluation, and deployment workflows.Develop automation scripts and tools in Python and PySpark for data analysis, model evaluation, and pipeline optimization.Ensure robust model evaluation, performance monitoring, and compliance with ethical AI principles.Required Skills & ExperienceHands-on experience with AI-based development using LLMs, RAG architectures, and Generative AI frameworks.Proficiency in LangChain, Haystack, Llama Index, and Hugging Face Transformers.Deep understanding of ML algorithms, deep learning concepts, and model fine-tuning techniques.Experience implementing Agentic AI systems and multi-agent workflows.Strong programming skills in Python, with working knowledge of TensorFlow, PyTorch, or similar frameworks.Solid experience with AWS Bedrock for deploying and scaling generative AI workloads.Proficiency in AWS data services – S3, Glue, Athena, Lambda, SageMaker, ECS, Comprehend, Macie.Experience with data engineering tools such as Airflow and PySpark.Strong knowledge of SQL for data querying, transformation, and analysis.Familiarity with MLOps principles, model evaluation metrics, and deployment best practices.Ability to thrive in a fast-paced, agile environment and deliver high-quality, production-ready solutions.Preferred QualificationsExperience working with multi-cloud or hybrid AI architectures.Exposure to Ethical AI frameworks and responsible AI development practices.Certification in AWS Machine Learning or Data Analytics (Optional)Prior experience in healthcare, finance, or regulated industries is a plus.Interested candidates can share your CV to uooha.e@people-prime.com