AI Backend Engineer (Dev 3/ Dev 4) | US-HQ'd Prop-Tech | HYD

Michael Page

Hyderabad, India

5-13 Years

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Posted 12 hours ago
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Job Description

Lead the future of Agentic AI in a real, large-scale enterprise environment.
Strong engineering culture and global innovation exposure from Hyderabad.

Job Description

Lead the architecture, design, and delivery of enterprise-scale Generative AI and Agentic AI solutions for a global PropTech SaaS platform.
Build and optimize AI systems using LLM application design, multi-agent workflows, tool/function calling, RAG architectures, vector databases, and semantic retrieval techniques.
Develop scalable cloud-native AI platforms using Python and TypeScript/JavaScript across AWS, GCP, or Azure environments with Docker, Kubernetes, and modern CI/CD practices.
Drive end-to-end AI platform strategy including model selection, orchestration frameworks, observability, evaluation standards, governance, performance optimization, and cost efficiency.
Mentor AI/ML engineering teams through architectural guidance, code reviews, technical leadership, and best practices for production-grade AI systems.
Partner with product, business, and leadership stakeholders to define AI roadmaps, identify high-impact use cases, and deliver measurable business outcomes.
Implement AI observability and evaluation frameworks using tools such as LangSmith/OpenAI Evals, including monitoring, logging, prompt/version management, and responsible AI practices.
Work with advanced AI ecosystem tools and frameworks including LangGraph, Agents SDK, Kafka/event streaming, multimodal agents, coding assistants (Cursor, Windsurf, Codex), and browser automation tools like Playwright.

The Successful Applicant

Strong experience as an AI-focused backend engineer with 5-13 years of overall experience (roles open across multiple seniority levels), including building production-grade distributed systems.
Deep hands-on expertise in Generative AI and Agentic AI systems, including LLM application design, multi-agent workflows, tool/function calling, RAG architectures, vector databases, and semantic retrieval.
Proven ability to design and scale cloud-native AI backend platforms using Python and TypeScript/JavaScript, with strong experience in AWS/GCP/Azure, Docker, Kubernetes, and CI/CD pipelines.
Demonstrated track record of shipping robust AI systems to production with focus on reliability, scalability, observability, evaluation, governance, and cost/performance optimization.
Strong technical leadership and collaboration skills with experience mentoring engineers, driving AI architecture decisions, and working closely with product and business teams to deliver impactful AI solutions.

What's on Offer

Competitive salary and benefits.
Opportunity to shape an exciting, global product.

More Info

Job Type:

Permanent Job

Function:

Proptech Saas

Employment Type:

Full time

About Company

Michael PageJob Source: www.michaelpage.co.in

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Job ID: 147391537

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