Senior AI Engineer
Proofpoint23 hours ago
Hyderābād, IndiaSenior
Responsibilities
- Architect and build production-grade AI-powered applications and agentic systems across front-end, back-end, data pipelines, APIs, and multi-model integrations.
- Design and operate multi-agent orchestration, tool/function calling, memory and context management, and dynamic intent-routing systems.
- Own the AI system lifecycle from requirements and architecture through implementation, evaluation, deployment, observability, and post-launch iteration.
- Make technical decisions regarding model selection, retrieval architectures, prompt engineering, and LLM API integrations.
- Apply distributed systems, system design, data structures, algorithms, scalability, reliability, and performance principles to AI application architecture.
- Build evaluation and observability infrastructure, including automated evaluation harnesses, LLM-as-judge pipelines, latency and cost monitoring, and regression frameworks.
- Define reusable AI engineering patterns, integration abstractions, documentation, and testing practices.
- Mentor junior engineers and conduct code and design reviews while raising the team’s technical standards.
Requirements
- 6+ years of hands-on software engineering experience, including at least 3 years building and shipping production AI/ML systems with real users and measurable business impact.
- Deep proficiency in Go and Python, with strong familiarity with typed, production-quality codebases, data structures, algorithms, system design, concurrency, performance, and failure modes.
- Hands-on experience building agentic AI systems with multi-step reasoning, tool/function calling, dynamic planning, and agent orchestration frameworks such as LangGraph, AutoGen, CrewAI, or custom implementations.
- Working knowledge of the MCP (Model Context Protocol) or comparable tool-calling and context-injection protocols.
- Strong experience with LLM memory and context management, vector stores or knowledge graphs, conversation summarization, and retrieval-augmented generation architectures.
- Experience designing evaluation harnesses with automated test suites, LLM-as-judge patterns, benchmarks, and production monitoring for quality, latency, and cost.
- Production experience with LLM APIs such as OpenAI and Anthropic, including prompt engineering, structured output, fine-tuning tradeoffs, and multi-model orchestration.
Benefits
- Competitive compensation and comprehensive benefits.
- Flexible work environment.
- Annual wellness and community outreach days.
- Recognition for contributions.
- Global collaboration and networking opportunities.
Categories
About Proofpoint
Proofpoint builds cloud-based cybersecurity and compliance products that protect email, collaboration tools, and sensitive data for enterprises and public-sector organizations. Its portfolio includes email threat protection, data loss prevention, security awareness training, archiving/governance, and safeguards for SaaS and AI-driven workflows, sold as subscription software and services. Founded in 2002 and headquartered in Sunnyvale, it is owned by Thoma Bravo, and reports that over 80 of the Fortune 100 use its products.