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Job Title: Senior AI Engineer – Agentic AI & ML Systems (Python Mandatory | AWS Platform)
Location: Hyderabad (Hybrid – 2 days/week from office)
Experience: 10–15 Years
Role Overview
We are looking for high-performing Senior AI Engineers with strong expertise in Agentic AI, MCP servers, and AWS-based ML platforms. This role focuses on building scalable, production-grade AI systems using Python, leveraging LLMs, multi-agent architectures, and cloud-native infrastructure on AWS.
Key Responsibilities
Mandatory Skills & Experience
Good to Have
Job ID: 147203067
Skills:
Operating Systems, AI ML, Tensorflow, Pytorch, Distributed Systems, Computer Architecture, networking fundamentals, simulation frameworks, AI accelerators, interconnect and memory technologies, collective communication algorithms, distributed training frameworks, memory disaggregation, visualization tools, profiling telemetry observability and debugging tools, large-scale AI training pipelines, topology-aware scheduling, programming skills in Python
Skills:
Python, Ai, Llm, RAG, Agents
Skills:
agent development , containerization , Java, Gcp, Azure, Python, AWS, Go, MCP Servers, LLM Integration, Runtime Systems, Vector Databases, NLP Frameworks, RAG Architecture, Prompt Engineering
Skills:
Kafka, Typescript, AWS, Kubernetes, Python, Azure, Gcp, Apis, secure development practices, AI ML concepts, runtime policy enforcement, Go, Pub Sub, microservices architectures, semantic chunking, message buses, Streaming Data, asynchronous workflows, Distributed System Design
Skills:
Elk, Prometheus, Kafka, Grafana, Datadog, Tensorflow, Pytorch, Kinesis, Docker, XGBoost, Python, Sql, Spark, Databricks, FastAPI, Kubernetes, Airflow, scikit-learn, MLflow, Feast, Prefect, OpenTelemetry, Event Hubs, LightGBM, Dagster, dbt, Tecton
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