AI Tech Lead

3 days ago

Pune, Maharashtra, India INT9 Solutions Full time

Role Overview

We are hiring a senior AI Tech Lead to architect and guide the implementation of real-time, production-grade GenAI systems, with a strong focus on voice automation, LLM orchestration, and knowledge-grounded AI applications.

This role requires deep hands-on expertise in low-latency AI systems, architectural judgment, and the ability to define technical standards for scalable, reliable, and cost-efficient AI products.

Experience: 8–12 years

Location: Pune (Hybrid)

Time Zone: IST with 2–3 hours overlap with PST

Key Responsibilities:

AI & System Architecture

  • Design and lead implementation of distributed, provider-agnostic AI architectures, including:
  • Multi-LLM provider setups
  • STT → LLM → TTS pipelines
  • Microservices-based AI platforms
  • Ensure low speech-to-speech latency, high availability, resilient failover, and efficient scaling.
  • Define architectural best practices and "dos and don'ts" for GenAI systems.

LLM Orchestration & Governance

  • Own evaluation, selection, and routing strategies across multiple LLM providers.
  • Design prompt architectures, safety patterns, fallback logic, caching, and context shaping.
  • Optimize context windows, token usage, inference latency, and overall cost.
  • Continuously assess new models and emerging GenAI capabilities.

Knowledge Integration & RAG

  • Architect and own RAG and knowledge-grounding systems, including:
  • Vector databases and retrieval strategies
  • Chunking and indexing policies
  • Hybrid retrieval and grounding approaches
  • Function calling and knowledge graph integrations
  • Ensure retrieval quality supports accurate, safe, and domain-grounded responses.

Performance, Quality & Reliability

  • Define and track KPIs for:
  • LLM output quality and grounding accuracy
  • Latency and throughput
  • Reliability and system stability
  • Establish benchmarking and evaluation frameworks for AI components.

Data Security & Multi-Tenancy

  • Ensure responsible handling of voice and transcript data.
  • Apply PII-safe practices and support data retention and isolation in multi-tenant environments.

Technical Leadership

  • Provide technical direction and mentorship to engineering teams.
  • Review system designs and make key architectural decisions.
  • Stay hands-on with critical system components and prototypes.

Required Qualifications

  • 8–12 years of experience in software engineering, with significant ownership of backend or platform systems.
  • Strong hands-on experience building production LLM-based systems.
  • Proven experience with real-time or low-latency systems, preferably involving voice or streaming data.
  • Deep understanding of distributed systems, microservices, and scalable architectures.
  • Practical experience with RAG systems, vector databases, and retrieval optimization.
  • Strong problem-solving skills with a focus on performance, reliability, and cost efficiency.

Nice to Have

  • Experience with conversational AI or voice automation platforms.
  • Exposure to multi-tenant SaaS architectures.
  • Knowledge of function calling, agent orchestration, or knowledge graphs.
  • Experience working with globally distributed teams.

Job Type: Full-time

Pay: Up to ₹2,400,000.00 per year

Benefits:

  • Health insurance
  • Paid time off
  • Provident Fund

Education:

  • Bachelor's (Required)

Experience:

  • total work: 7 years (Required)

Work Location: In person

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