Senior AI/ML Engineer
Job Description
The Senior AI Platform Engineer will design, build, and operate intelligent AI agents that automate software engineering and Quality Engineering workflows. Engineers will develop reusable AI capabilities, integrate with enterprise systems, and contribute to a shared AI platform supporting multiple engineering organizations. While each engineer will have a primary specialization, all engineers are expected to contribute across the platform.
Required Qualifications:
- 7+ years of software engineering experience
- 2+ years of experience building AI or LLM-powered applications
- Strong Python development skills
- Experience with FastAPI or similar frameworks
- Knowledge of Kubernetes, Docker, APIs, and cloud platforms
- Experience integrating enterprise engineering tools
- MCP Servers
- Enterprise Connectors
- Agent SDK
- Workflow Engine
- Multi-Agent Communication
- Teams and VS Code integrations
- Shared Prompt Library
Note: Associate should be willing to work for 2-11PM shift
More Info
Key Skills
Multi-Agent Communication
enterprise engineering tools
cloud platforms
MCP Servers
Enterprise Connectors
Workflow Engine
VS Code integrations
Agent SDK
Shared Prompt Library
About Company
Skills:
Tensorflow, Pytorch, Python, Computer Vision, Generative AI, modern NLP techniques, Hugging Face ecosystem, RAG systems, Agentic AI solutions, LLM applications, Transformers, Prompt Engineering
Skills:
Sql, Tensorflow, Pandas, Pytorch, Spark, Splunk, Python, Monitoring for data and model drift, Scikit-learn, MLflow, Model versioning, Flink, LLM-based agents, Agentic AI, CI/CD for ML, Ciena Blue Planet UAA
Skills:
Python, Sql, Production ML, Embeddings
Skills:
BigQuery, Gcp, FastAPI, LangChain, Async Python patterns, pgvector, Claude, Pinecone, LangSmith, LangGraph, OpenAI APIs, Vertex AI, AI LLM Engineering, vector DBs, Ragas, Gemini, Weaviate