Artificial Intelligence Engineer

Title: Senior Al/ ML Engineer. (5- 7 years of Experience)

Job Location: Hyderabad, Telangana

Job type: permanent

Work Mode: Onsite

Need only Immediate Joiners- Notice period profiles are not accepted this time.

Description

Our client is seeking a hands-on AI/ML Engineer with deep expertise in large language models, retrieval-augmented generation (RAG), and cloud-native ML development on AWS. You'll be a key driver in building scalable, intelligent learning systems powered by cutting-edge AI and robust AWS infrastructure.

If you’re passionate about combining NLP, deep learning, and real-world applications at scale, this is the role for you.

A minimum of 3 years of specialized experience in AI/ML is required.

Core Skills & Technologies

• LLM Ecosystem & APIs
• OpenAI, Anthropic, Cohere
• Hugging Face Transformers
• LangChain, LlamaIndex (RAG orchestration)
• Vector Databases & Indexing
• FAISS, Pinecone, Weaviate

AWS-Native & ML Tooling

• Amazon SageMaker (training, deployment, pipelines)
• AWS Lambda (event-driven workflows)
• Amazon Bedrock (foundation model access)
• Amazon S3 (data lakes, model storage)
• AWS Step Functions (workflow orchestration)
• AWS API Gateway & IAM (secure ML endpoints)
• CloudWatch, Athena, DynamoDB (monitoring, analytics, structured storage)

Languages & ML Frameworks

• Python (primary), PyTorch, TensorFlow
• NLP, RAG systems, embeddings, and prompt engineering

What You’ll Do

Model Development & Tuning

o Designs architecture for complex AI systems and makes strategic technical decisions

o Evaluates and selects appropriate frameworks, techniques, and approaches

o Fine-tune and deploy LLMs and custom models using AWS SageMaker

o Build RAG pipelines with LlamaIndex/LangChain and vector search engines

Scalable AI Infrastructure

The architect distributed model training and inference pipelines on AWS

o Design secure, efficient ML APIs with Lambda, API Gateway, and IAM

Product Integration

o Leads development of novel solutions to challenging problems

o Embed intelligent systems (tutoring agents, recommendation engines) into learning platforms using Bedrock, SageMaker, and AWS-hosted endpoints

• Rapid Experimentation

o Prototype multimodal and few-shot learning workflows using AWS services

o Automate experimentation and A/B testing with Step Functions and SageMaker Pipelines

• Data & Impact Analysis

o Leverage S3, Athena, and CloudWatch to define metrics and continuously optimize AI performance

• Cross-Team Collaboration

o Work closely with educators, designers, and engineers to deliver AI features that enhance student learning

o Mentors junior engineers and provides technical leadership

Who You Are

• Deeply Technical: Strong foundation in machine learning, deep learning, and NLP/LLMs

• AWS-Fluent: Extensive experience with AWS ML services (especially SageMaker, Lambda, and Bedrock)

• Product-Minded: You care about user experience and turning ML into real-world value

• Startup-Savvy: Comfortable with ambiguity, fast iterations, and wearing many hats

• Mission-Aligned: Passionate about education, human learning, and AI for good

Bonus Points

• Hands-on experience fine-tuning LLMs or building agentic systems using AWS

• Open-source contributions in AI/ML or NLP communities

• Familiarity with AWS security best practices (IAM, VPC, private endpoints)