Live opening · Posted 7 days ago

Technical Lead

Version1 · Mumbai, MH, India
Smartrecruiters Hybrid Full-time
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyVersion1
LocationMumbai, MH, India
Job typeFull-time
Work modeHybrid
SourceSmartrecruiters
Listed7 days ago

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About the role

Description supplied by the original job listing.

We are looking for an experienced AI Technical Lead with 10+ years of software engineering experience and strong expertise in Python, and AI-powered application development, Generative AI, LLMs, and agentic AI solutions. Experience with React-based front-end development and AWS cloud technologies would be advantageous.
The ideal candidate will have a proven track record of leading engineering teams, architecting scalable solutions, and delivering modern AI-enabled applications leveraging Large Language Models (LLMs), Generative AI, and cloud-native technologies.
The successful candidate will provide technical leadership across the full software development lifecycle, mentor developers and AI engineers, collaborate with cross-functional stakeholders, and drive innovation through the adoption of AI and modern engineering practices.
Key Responsibilities
Lead the design, development, and maintenance of scalable, high-performance applications using React, Python, and AWS.
Architect and deliver AI-powered solutions leveraging Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and agent-based workflows where appropriate.
Mentor and guide developers and AI engineers, promoting engineering excellence and best practices.
Collaborate with business and technology stakeholders to understand requirements and translate them into innovative technical solutions.
Conduct architecture reviews, code reviews, unit testing, and integration testing to ensure quality, performance, and maintainability.
Design and implement RESTful APIs and backend services using Python and modern software engineering practices.
Integrate AI services, cloud platforms, enterprise systems, and external APIs into business applications.
Optimize application performance and troubleshoot complex production issues.
Stay current with emerging AI technologies, software engineering trends, and cloud-native best practices.
Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
10+ years of experience in software engineering, with experience in a Technical Lead or Lead Developer role.
Expert-level Python development
Experience designing and developing REST APIs and microservices.
Experience with AWS cloud services, application architecture, and modern DevOps practices.
Understanding of Object-Oriented Analysis and Design (OOAD), design patterns, and software engineering best practices.
Strong problem-solving, communication, stakeholder management, and leadership skills.
Technical Skills
AI & Machine Learning
Experience with Generative AI and Large Language Models (LLMs).
Experience developing AI-powered applications and intelligent automation solutions
Hands-on experience with Agentic AI frameworks and multi-agent systems
Experience with Retrieval Augmented Generation (RAG), vector databases, embeddings, and semantic search technologies
Understanding of prompt engineering, prompt optimisation, and AI evaluation techniques
Experience integrating AI services into enterprise applications.
Programming & Engineering
Python
ReactJS
REST APIs
Git
CI/CD
Distributed systems design
Cloud & Platform
AWS (EC2, S3, Lambda, API Gateway, Bedrock, SageMaker or similar services)
Containerization using Docker
Kubernetes (desirable)
Desirable Skills
Experience with ReactJS, TypeScript, JavaScript, HTML5, and modern front-end development frameworks
Experience with AWS cloud services, including EC2, S3, Lambda, API Gateway, Bedrock, SageMaker, or equivalent cloud technologies.
Familiarity with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or similar technologies
Experience with Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures.
Hands-on experience with AWS AI services such as Bedrock, SageMaker, or related AI platforms.
Experience with vector databases, knowledge retrieval systems, and AI evaluation frameworks.
Experience with Docker, Kubernetes, and cloud-native architectures.
Experience mentoring teams and driving technical strategy across multiple projects.
Familiarity with digital assets, financial technology (FinTech), trading platforms, tokenization, blockchain ecosystems, or related financial services domains is desirable

Employment type
Full-time

Work arrangement
Hybrid

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