Senior Agentic Platform Engineer II
New
J
JobgetherSecurity & IT
India, willingness to overlap 2–3 hours with Pacific Time business hoursFull-TimeSenior
Salary4,050,000 - 5,670,000 INR per year
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- 8+ years of professional software engineering experience, including at least 2 years building production LLM-powered systems and 2+ years in a senior engineering or technical leadership role.
- Required Skills
- PostgreSQLPythonGCPKubernetesTypeScriptTerraformLLM
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
- 8+ years of professional software engineering experience.
- 2+ years of experience building production LLM-powered systems.
- 2+ years in a senior engineering or technical leadership role.
- Strong production-grade Python skills.
- Ability to modify large Java or Kotlin codebases.
- Hands-on experience building MCP servers or clients.
- Experience with agent orchestration frameworks like LangGraph.
- Production experience with RAG, vector stores (e.g., PostgreSQL/pgvector), and embedding models.
- Experience evaluating AI systems using evaluation harnesses and quality gates.
- Strong security awareness for agentic systems (prompt-injection, sandboxing).
- Hands-on Kubernetes and GCP experience (GKE, IAM, BigQuery).
- Excellent written and verbal English communication skills.
- Willingness to overlap 2–3 hours with Pacific Time business hours.
- Ability to participate in an on-call rotation.
Responsibilities
- Build and evolve an internal Agentic Platform by creating reusable capabilities and paved paths.
- Design, develop, and operate internal MCP servers including authentication, schema design, and versioning.
- Build platform infrastructure for remote AI agents covering deployment, observability, and lifecycle management.
- Establish security and governance guardrails for autonomous agents.
- Lead technical approaches for RAG systems including ingestion, chunking, and retrieval-quality measurement.
- Own evaluation and observability practices through harnesses, regression testing, and instrumentation.
- Improve agentic developer experience via internal tooling and automation.
- Extend and operate the centralized LLM gateway supporting governance and cost attribution.
- Develop reference implementations and proofs of concept.
- Establish engineering standards and mentor teams on AI capabilities.
View Full Description & ApplyYou'll be redirected to the employer's site
