3 дня назад
Lead AI Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead AI Engineer (Python/GenAI): Design, build, and scale enterprise AI/GenAI applications, RAG pipelines, intelligent workflows, backend services, APIs, and integrations with an accent on production readiness, security, scalability, and measurable business outcomes. Focus on developing knowledge assistants and decision-support solutions, defining AI evaluation frameworks, and optimizing reliability, observability, latency, and cost.
Location: Pune, India
Company
is the hiring organization for an enterprise AI/GenAI engineering role.
What you will do
- Design, develop, and deploy AI/GenAI applications, RAG pipelines, and intelligent workflow automation.
- Build backend services, APIs, integrations, and orchestration frameworks using LLMs, model APIs, and enterprise data.
- Develop AI-powered knowledge assistants, workflow automation, and decision-support solutions.
- Create evaluation frameworks for AI quality, accuracy, latency, and system performance.
- Collaborate with Business, IT, Security, Data, HR, and Finance teams to deliver high-value AI use cases.
- Scale prototypes into secure, production-ready deployments and develop reusable AI frameworks and components.
Requirements
- 7–12+ years of experience in Software Engineering, AI/ML, or GenAI application development.
- Proven experience building and deploying production-grade AI/GenAI solutions.
- Strong expertise in Python, backend development, APIs, system integration, and workflow orchestration.
- Hands-on experience with RAG, LLMs, prompt engineering, tool or agent calling, AI evaluation, and observability.
- Experience integrating enterprise applications, data platforms, and services through APIs and event-driven architectures.
- BE/B.Tech/MCA qualification, preferably in Computer Science, Information Technology, or a related field.
Nice to have
- Experience with vector databases, embeddings, semantic search, and advanced RAG architectures.
- Knowledge of SQL, data engineering, and data pipelines.
- Experience with intelligent agents, automation platforms, AI governance frameworks, or enterprise AI platforms.
Culture & Benefits
- Full-time employment.
- Work involves collaboration across business and technical functions.
- Focus on secure, reliable, observable, scalable, and cost-efficient AI solutions.
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