J
AI Engineer
Jobleads-US
2 hours ago
Full-time
On-site
Duties:
3+ years of experience in software engineering, AI/ML engineering, data engineering, or related technical fields.
Bachelors in Computer Science
Strong
Python and SQL
skills and experience building APIs and enterprise integrations.
Hands-on experience building
LLM applications or AI agents
.
Experience with
LangChain, LangGraph, Snowflake Cortex, MCP, RAG, or similar technologies
.
Experience with Snowflake or other modern cloud data platforms.
Familiarity with AI observability, evaluation, security, and governance.
Experience with Git, testing, CI/CD, and modern software development practices.
Ability to translate business problems into practical, scalable AI solutions.
Skills:
Design and develop AI agents, workflows, and applications using
Python, LangChain, LangGraph, Snowflake Cortex/Cortex Agents, and MCP
.
Build
RAG solutions
, including data retrieval, embeddings, context management, tool calling, and prompt engineering.
Develop integrations between AI agents and enterprise platforms including
Snowflake, Hightouch/CDP, Salesforce, Marketo, and other Martech systems
.
Contribute to the enterprise
AI orchestration layer
, including agent routing, tool management, context management, and workflow execution.
Build AI evaluation, monitoring, and observability capabilities using tools such as
Langfuse
or similar platforms.
Develop reusable frameworks, agents, tools, APIs, and engineering patterns to accelerate AI adoption.
Implement security, access controls, guardrails, and responsible AI practices within AI applications and workflows.
Partner with Enterprise Architecture, Data, Security, and business teams to prototype and productionize high-value AI use cases.
#J-18808-Ljbffr
3+ years of experience in software engineering, AI/ML engineering, data engineering, or related technical fields.
Bachelors in Computer Science
Strong
Python and SQL
skills and experience building APIs and enterprise integrations.
Hands-on experience building
LLM applications or AI agents
.
Experience with
LangChain, LangGraph, Snowflake Cortex, MCP, RAG, or similar technologies
.
Experience with Snowflake or other modern cloud data platforms.
Familiarity with AI observability, evaluation, security, and governance.
Experience with Git, testing, CI/CD, and modern software development practices.
Ability to translate business problems into practical, scalable AI solutions.
Skills:
Design and develop AI agents, workflows, and applications using
Python, LangChain, LangGraph, Snowflake Cortex/Cortex Agents, and MCP
.
Build
RAG solutions
, including data retrieval, embeddings, context management, tool calling, and prompt engineering.
Develop integrations between AI agents and enterprise platforms including
Snowflake, Hightouch/CDP, Salesforce, Marketo, and other Martech systems
.
Contribute to the enterprise
AI orchestration layer
, including agent routing, tool management, context management, and workflow execution.
Build AI evaluation, monitoring, and observability capabilities using tools such as
Langfuse
or similar platforms.
Develop reusable frameworks, agents, tools, APIs, and engineering patterns to accelerate AI adoption.
Implement security, access controls, guardrails, and responsible AI practices within AI applications and workflows.
Partner with Enterprise Architecture, Data, Security, and business teams to prototype and productionize high-value AI use cases.
#J-18808-Ljbffr