Artificial Intelligence 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

Key Skills: AI Developer, Generative AI, LLMs, AWS Data Engineering, Agentic AI frameworks, RAG architectures, ML algorithms, deep learning concepts, model fine-tuning techniques, Agentic AI systems, multi-agent workflows, Python, TensorFlow, PyTorch, AWS Bedrock, AWS data services – S3, Glue, Athena, Lambda, SageMaker, ECS, Comprehend, Macie, data engineering tools, Airflow, PySpark, MLOps, agile environment

Job Locations: Chennai,

Experience: 6 - 8

Budget:

Education Qualification: Any Graduation

AI Developer (with Data Engineering skills)

Role Overview

We 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 Responsibilities

· Design, 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 & Experience

Hands-on experience with AI-based development

LangChain

ML algorithms, deep learning concepts

Agentic AI systems

Python

AWS Bedrock

AWS data services

data engineering tools

SQL

MLOps

fast-paced, agile environment

Preferred Qualifications

· Experience 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.

praneeth.n@people-prime.com