INInfosys Limited
AI/ML Engineer (Generative AI, ML,AWS)
Bangalore Posted 1 Oct 2026
FULL TIME
bedrock
Git
Agile Methodologies
Tensorflow
Rest Apis
+6 more
Job Description
Job Description:
- We are looking for a skilled AI ML Engineer with a strong background in Generative AI Machine Learning and AWS Cloud to create, develop, implement, and enhance AI-driven solutions.
- The preferred candidate will possess hands-on experience in constructing scalable ML models, executing GenAI use cases with LLMs, and deploying AI applications on AWS.
Key Responsibilities:
- Design and implement ML pipelines and LLM-based agents, including RAG Agentic AI, utilizing AWS Bedrock, SageMaker, and LangGraph.
- Develop, train, and productionize ML models for churn prediction and forecasting while adhering to MLOps best practices.
- Construct RAG architectures, integrate LLM APIs, perform prompt engineering, and establish responsible AI guardrails.
- Demonstrate expertise in Python, Scikit-learn, TensorFlow, PyTorch, and hands-on experience with SageMaker, vector databases such as FAISS, Pinecone, and OpenSearch.
- Proficiency in Python, LangGraph, LangChain, Bedrock, and OpenAI integration is essential; familiarity with LLM fine-tuning, LangSmith, and AWS ML Specialty certification is a plus.
Technical Requirements:
- Robust proficiency in Python and AI ML libraries, including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Practical experience with Generative AI and Large Language Models (LLMs).
- Familiarity with OpenAI, Claude, Gemini, Llama, or similar foundational models.
- Comprehensive understanding of Prompt Engineering, RAG, embeddings, and vector databases.
- Experience with frameworks like LangChain, LangGraph, LlamaIndex, or similar.
- Hands-on knowledge of AWS services, including:
- SageMaker
- Bedrock
- Lambda
- EC2
- S3
- Glue
- API Gateway
- CloudWatch
- Strong SQL and data processing capabilities.
- Experience with REST APIs and microservices architecture.
- Familiarity with Git, CI/CD, and Agile methodologies.
