Sr AI Engineer
Sr AI Engineer
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Job Description
Senior / Lead AI Engineer
About The Role
We're looking for a Senior / Lead AI Engineer to design, build, and deploy production-grade AI systems. You'll work across the full stack of modern AI development, from agentic applications to the data platforms that power them, and help translate complex technical work into clear outcomes for the business.
What You'll Do
About The Role
We're looking for a Senior / Lead AI Engineer to design, build, and deploy production-grade AI systems. You'll work across the full stack of modern AI development, from agentic applications to the data platforms that power them, and help translate complex technical work into clear outcomes for the business.
What You'll Do
- Build and deploy agentic AI applications using frameworks such as LangChain and the Claude SDK
- Design and optimize LLM-powered solutions, including prompt engineering, RAG pipelines, and retrieval systems
- Develop and maintain data-driven AI services on Snowflake
- Deploy and scale solutions on Azure or AWS
- Partner with stakeholders and present technical work clearly to both technical and non-technical audiences
- 8-10 years of engineering experience
- Hands-on experience with agentic frameworks (LangChain, Claude SDK)
- Strong understanding of the LLM ecosystem: prompt engineering, skills, caching, RAG, vector databases, indexing, and ranking
- Experience deploying on Azure or AWS
- Snowflake experience (required)
- Proficiency in SQL and Python
- Working knowledge of both traditional ML and agentic AI
- Exposure to FastAPI
- Excellent communication and presentation skills
- A can-do attitude with a strong sense of speed and pace
- Exposure to React.js
More Info
Key Skills
About Company
Skills:
Tensorflow, Pytorch, Gcp, Azure, Python, AWS, Distributed Computing, Microservices architecture, machine learning fundamentals, Statistical Modeling, ML frameworks, cloud-native ML solutions
Skills:
snowflake , Python, Sql, Cortex AI models, DBT models, DataOps.Live, Model Context Protocol, LLM integration, CoCo CLI
Skills:
retrieval augmented generation (RAG), Java, Sql, Scalability, Docker, Distributed Systems, Fault Tolerance, Python, Kubernetes, embeddings, AI orchestration frameworks, vector search, agentic AI, LLMs, cloud native architectures, production-grade observability, Go, vector databases, semantic retrieval, NoSQL data stores, CI/CD pipelines, backend services
Skills:
.NET, windows automation , Nunit, Docker, Linux, Integration Testing, Selenium, Xunit, contract testing, Playwright, Azure identity, flaky-test management, browser automation, Test containers, test categorization, post-deployment smoke testing
Skills:
Django, Git, Docker, FastAPI, Rest Apis, Python, Microservices, PostgreSQL, Prometheus, Kafka, Grafana, Datadog, Sql, Nosql, Gcp, MySQL, MongoDB, Splunk, Azure, Kubernetes, AWS, Generative AI, LLMs, CI CD automation, AI ML concepts, RAG, Event-driven architectures