Build, mentor, and lead high-performing engineering teams across AI, platform, and infrastructure domains.
Define and implement the technical vision, architecture, and roadmap to support scalable, reliable, and high-performance systems.
Oversee the design and development of low-latency voice AI systems, integrating ASR (Automatic Speech Recognition), TTS (Text-to-Speech), LLMs (Large Language Models), and NLP (Natural Language Processing) components.
Collaborate closely with Product, Data Science, and Design teams to develop and deliver AI-powered applications that enhance customer experiences.
Establish and enforce engineering best practices, including coding standards, architecture reviews, and continuous improvement frameworks.
Ensure high availability, reliability, and scalability of systems and infrastructure through robust design and proactive monitoring.
Foster a culture of accountability, innovation, and knowledge sharing within the engineering organization.
Drive cross-functional alignment, balancing technical trade-offs and business objectives effectively.
Required Qualifications :
Minimum 12 years of experience in software engineering, with at least 6 years in engineering leadership, including managing managers and multiple teams.
Demonstrated experience scaling complex technology platforms across different stages of growth.
Strong technical background in distributed systems, data pipelines, or AI / ML-based products.
Hands-on understanding of speech analytics, conversational AI, or large-scale SaaS platforms.
Proficiency in cloud environments (AWS, Azure, or GCP) and microservices-based architectures.
Experience leading teams working with data engineering, ML models, and real-time streaming systems.
Proven ability to build and mentor engineering teams, set performance goals, and develop leadership talent.
Excellent communication, organizational, and decision-making skills.
Preferred Qualifications :
Bachelors or Masters degree in Computer Science, Engineering, or a related field. Alumni from IIT, NIT, BITS, or equivalent premier engineering institutes are preferred.
Experience in AI / ML platform development, with a focus on large-scale deployment and optimization.
Familiarity with modern technology stacks, including : Python, Go, FastAPI, Kafka, LangChain, PyTorch, TensorFlow, Redis, PostgreSQL, Kubernetes, and AWS / GCP.
Track record of leading high-impact engineering initiatives and delivering measurable business outcomes.
Key Attributes :
Technically strong, with the ability to make informed architectural and design decisions.
Strategic thinker with a structured approach to scaling teams and systems.
Strong leadership presence with a focus on collaboration and continuous improvement.
Deep commitment to engineering excellence, team growth, and customer-centric innovation.
(ref : hirist.tech)
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Director Of Engineering • Mumbai
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