BMC

3 months ago

Lead AI Engineer - AgenticAI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Build a 0–1 agentic AI platform by designing, coding, and shipping production-grade capabilities used by external B2B customers. Own AI system reliability, controllability, and cost efficiency across inference services, orchestration layers, and evaluation/guardrails. Integrate and operate LLMs using RAG and memory, deploy on AWS/Azure/GCP, and address real-world failures like hallucinations, drift, and prompt regressions.

Location: Santa Clara, Mountain View

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build and evolve agentic AI systems that reason, plan, execute, and adapt in production environments.
•Lead AI-driven features from concept to production in a 0–1 environment, with measurable outcomes beyond demos.
•Write and review production code across AI pipelines, inference services, orchestration layers, and supporting systems.
•Implement prompt engineering, tool use, memory, evaluation, and guardrails as production engineering concerns.
•Integrate and operate LLMs (including fine-tuning strategies and retrieval/RAG), deploy AI services on cloud platforms, and address failure modes impacting customer trust.

Travel: Low travel

Pay and Benefits

Salary: USD 152,925 - 254,875 annually

Key Requirements

•6+ years of professional software development with significant experience shipping B2B products to external customers.
•Expert-level Python and strong foundation in designing production systems.
•Proven experience building, deploying, and operating AI-powered products in production environments.
•Hands-on experience with LLMs/GenAI in real applications (agents, copilots, automation, decision systems).
•Experience with agent frameworks/orchestration, prompt engineering/tool use, and RAG/vector search; ability to implement evaluation, monitoring, and safety guardrails.

Experience:6+ yearsB2B SaaSEnterprise AIGenAILLM production

Skills:OwnershipPragmatismDecision-makingProblem-solvingComfort with ambiguity

Tech Stack:PythonAWSAzureGCPLLMsGenAILangGraphLangChainLlamaIndexPineconeWeaviateFAISSMilvusAWS SageMakerVertex AIOpenAIAnthropicRAGVector databasesKubernetes

Company Brief

BMC

Provides IT service management, automation, and operations software to help enterprises manage digital services, cloud infrastructure, and mainframe environments with monitoring, service desk, and AIOps solutions.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Houston, United States

Founded: 1980

Website LinkedIn

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BMC