<div>At PhotonX Tech our expertise lies in providing solutions to businesses that rely on methods, like pen and paper or Excel sheets for their operations. We specialize in helping these businesses transition to a system. In terms, we create Android and iOS apps, CRM systems, custom ERP solutions, and various types of websites. What sets us apart is our dedication to driving transformation for companies by helping them expand their presence and reach a wider audience. Our goal is to deliver top-notch app development, digital marketing, chatbot integration, and web development services that are both high-quality and cost-effective. We pride ourselves on response times and an unwavering commitment, to excellence. We view ourselves as your strategic partners, offering a range of services from development to marketing and consulting. Our experienced team is here to address your needs and bring your dreams to fruition. With a track record of satisfied clients across the world and over a Decade of experience in the information technology industry, you can trust us to help propel your business into the digital age.</div>

Photonx technologies pvt ltd

Job Title: AI/ML Technical Lead – Generative AI, AI Agents &amp; Intelligent Automation About the Role
We are seeking a highly skilled and hands-on AI/ML Technical Lead to drive our AI strategy, lead engineering teams, and build next-generation AI-powered products and intelligent automation solutions. This role requires deep expertise in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, Voice AI, Multi-Agent Systems, and Intelligent Automation.
The ideal candidate will be responsible for architecting, developing, deploying, and scaling production-grade AI solutions while continuously evaluating and adopting emerging AI technologies that deliver measurable business value. This individual will serve as both a technical leader and innovation driver, helping shape the organization's AI vision and roadmap.
Key Responsibilities: AI Agent Development
<ul>
<li>
Design, build, and deploy intelligent AI agents for enterprise and customer-facing applications.
</li>
<li>
Develop autonomous and multi-agent systems capable of reasoning, planning, decision-making, and task execution.
</li>
<li>
Build AI assistants capable of:
<ul>
<li>
Natural human-like conversations
</li>
<li>
Context awareness
</li>
<li>
Persistent memory
</li>
<li>
Automated note-taking
</li>
<li>
Reminder management
</li>
<li>
Workflow execution
</li>
<li>
Meeting summarization
</li>
<li>
Personalized user interactions
</li>
</ul>
</li>
<li>
Develop AI copilots, virtual employees, and domain-specific intelligent assistants.
</li>
<li>
Implement memory management, tool usage, task delegation, and autonomous workflow execution.
</li>
</ul>
Generative AI &amp; LLM Engineering
<ul>
<li>
Develop advanced Generative AI applications using proprietary and open-source foundation models.
</li>
<li>
Design and implement:
<ul>
<li>
Retrieval-Augmented Generation (RAG)
</li>
<li>
Prompt Engineering
</li>
<li>
Fine-Tuning
</li>
<li>
Function Calling
</li>
<li>
Context Management
</li>
<li>
Memory Systems
</li>
<li>
AI Knowledge Bases
</li>
<li>
AI Search Solutions
</li>
</ul>
</li>
<li>
Evaluate, benchmark, and optimize AI models for accuracy, latency, scalability, and cost efficiency.
</li>
<li>
Integrate LLM-powered capabilities into enterprise platforms and business workflows.
</li>
</ul>
Agent Orchestration &amp; Intelligent Automation
<ul>
<li>
Build and manage agent orchestration frameworks and agent communication architectures.
</li>
<li>
Develop multi-agent collaboration and workflow systems.
</li>
<li>
Integrate AI agents with APIs, databases, SaaS platforms, and enterprise applications.
</li>
<li>
Build intelligent automation solutions that streamline operations and reduce manual effort.
</li>
<li>
Design event-driven AI workflows and autonomous business process automation systems.
</li>
</ul>
Conversational AI, Voice AI &amp; Human Interaction
<ul>
<li>
Design and develop conversational AI systems with natural and engaging interactions.
</li>
<li>
Build:
<ul>
<li>
Voice Assistants
</li>
<li>
AI Receptionists
</li>
<li>
AI Customer Support Platforms
</li>
<li>
Real-Time Voice Agents
</li>
<li>
AI Meeting Assistants
</li>
</ul>
</li>
<li>
Implement:
<ul>
<li>
Speech-to-Text (STT)
</li>
<li>
Text-to-Speech (TTS)
</li>
<li>
Voice Cloning
</li>
<li>
Emotion-Aware Interactions
</li>
<li>
Human-Like Dialogue Systems
</li>
</ul>
</li>
<li>
Develop AI-powered avatars and digital assistants for immersive user experiences.
</li>
</ul>
AI Memory, Notes &amp; Productivity Systems
<ul>
<li>
Design persistent memory architectures for AI applications.
</li>
<li>
Develop systems capable of:
<ul>
<li>
Remembering user preferences
</li>
<li>
Maintaining long-term context
</li>
<li>
Managing conversation history
</li>
<li>
Automatically generating notes and summaries
</li>
<li>
Scheduling reminders and follow-ups
</li>
</ul>
</li>
<li>
Build intelligent productivity and knowledge management assistants.
</li>
</ul>
Machine Learning &amp; AI Engineering
<ul>
<li>
Build, train, evaluate, and deploy machine learning models.
</li>
<li>
Develop AI solutions for:
<ul>
<li>
Predictive Analytics
</li>
<li>
Recommendation Systems
</li>
<li>
Customer Intelligence
</li>
<li>
Personalization Engines
</li>
<li>
Classification Models
</li>
<li>
Natural Language Processing (NLP)
</li>
<li>
Computer Vision Applications
</li>
</ul>
</li>
<li>
Continuously optimize model performance, accuracy, reliability, and scalability.
</li>
</ul>
AI Product Development
<ul>
<li>
Participate in end-to-end AI product architecture and development.
</li>
<li>
Translate business requirements into scalable AI-powered solutions.
</li>
<li>
Build reusable AI frameworks, accelerators, and internal platforms.
</li>
<li>
Develop AI-powered SaaS products and enterprise-grade applications.
</li>
</ul>
AI Innovation &amp; Emerging Technologies
<ul>
<li>
Continuously research, evaluate, and adopt emerging AI technologies, frameworks, and platforms.
</li>
<li>
Stay current with advancements in:
<ul>
<li>
Generative AI
</li>
<li>
Agentic AI
</li>
<li>
Multi-Agent Systems
</li>
<li>
Large Language Models (LLMs)
</li>
<li>
Small Language Models (SLMs)
</li>
<li>
Multimodal AI
</li>
<li>
Voice AI
</li>
<li>
Computer Vision
</li>
<li>
AI Avatars
</li>
<li>
AI Search
</li>
<li>
Intelligent Automation
</li>
<li>
Robotics &amp; Autonomous Systems
</li>
<li>
AI Infrastructure &amp; MLOps
</li>
</ul>
</li>
<li>
Lead proof-of-concept initiatives and innovation programs.
</li>
<li>
Rapidly evaluate and implement newly released AI technologies and frameworks.
</li>
<li>
Recommend best-fit AI solutions aligned with business objectives and market opportunities.
</li>
</ul>
Technical Leadership
<ul>
<li>
Lead, mentor, and grow a high-performing AI/ML engineering team.
</li>
<li>
Establish AI architecture standards, development practices, and coding guidelines.
</li>
<li>
Conduct architecture reviews, design reviews, and technical planning sessions.
</li>
<li>
Collaborate closely with Product, Engineering, Operations, and Executive Leadership teams.
</li>
<li>
Drive an AI-first culture of innovation and experimentation.
</li>
<li>
Own technical delivery, solution quality, and AI project outcomes.
</li>
</ul>
Required Technical Skills: Artificial Intelligence &amp; Generative AI
<ul>
<li>
Generative AI
</li>
<li>
Large Language Models (LLMs)
</li>
<li>
Small Language Models (SLMs)
</li>
<li>
Agentic AI
</li>
<li>
Multi-Agent Systems
</li>
<li>
Prompt Engineering
</li>
<li>
Fine-Tuning
</li>
<li>
Retrieval-Augmented Generation (RAG)
</li>
<li>
AI Search
</li>
<li>
AI Memory Systems
</li>
<li>
AI Copilots
</li>
<li>
Intelligent Automation
</li>
</ul>
AI Frameworks &amp; Platforms
Hands-on experience with one or more of:
<ul>
<li>
LangChain
</li>
<li>
LangGraph
</li>
<li>
CrewAI
</li>
<li>
AutoGen
</li>
<li>
Semantic Kernel
</li>
<li>
OpenAI Agents SDK
</li>
<li>
LlamaIndex
</li>
<li>
Hugging Face
</li>
<li>
MCP (Model Context Protocol)
</li>
<li>
AI Workflow Platforms
</li>
</ul>
Machine Learning &amp; Data Science
<ul>
<li>
Python
</li>
<li>
PyTorch
</li>
<li>
TensorFlow
</li>
<li>
Scikit-Learn
</li>
<li>
Deep Learning
</li>
<li>
NLP
</li>
<li>
Reinforcement Learning
</li>
<li>
Statistical Modeling
</li>
</ul>
Voice AI &amp; Multimodal AI
<ul>
<li>
Speech-to-Text (STT)
</li>
<li>
Text-to-Speech (TTS)
</li>
<li>
Conversational AI
</li>
<li>
Voice AI
</li>
<li>
Audio Processing
</li>
<li>
Image Understanding
</li>
<li>
Video Understanding
</li>
</ul>
Backend &amp; Software Engineering
<ul>
<li>
Python
</li>
<li>
FastAPI
</li>
<li>
REST APIs
</li>
<li>
GraphQL
</li>
<li>
Microservices Architecture
</li>
<li>
Event-Driven Systems
</li>
</ul>
Vector Databases
Experience with one or more:
<ul>
<li>
Pinecone
</li>
<li>
Weaviate
</li>
<li>
Qdrant
</li>
<li>
ChromaDB
</li>
<li>
Milvus
</li>
</ul>
Cloud &amp; Infrastructure
<ul>
<li>
AWS
</li>
<li>
Microsoft Azure
</li>
<li>
Google Cloud Platform (GCP)
</li>
<li>
Docker
</li>
<li>
Kubernetes
</li>
<li>
CI/CD Pipelines
</li>
<li>
MLOps
</li>
<li>
Model Deployment &amp; Monitoring
</li>
</ul>
Experience RequiredMust Have
<ul>
<li>
5+ years of experience in AI/ML Engineering.
</li>
<li>
2+ years of hands-on experience building Generative AI, LLM, or AI Agent solutions.
</li>
<li>
Proven experience leading engineering teams and AI initiatives.
</li>
<li>
Experience deploying AI solutions into production environments.
</li>
<li>
Strong system design, architecture, and problem-solving skills.
</li>
<li>
Ability to rapidly learn and adopt emerging AI technologies.
</li>
</ul>
Preferred
<ul>
<li>
Experience building enterprise AI copilots and intelligent assistants.
</li>
<li>
Experience taking AI products from concept to production.
</li>
<li>
Experience working with global clients and distributed teams.
</li>
<li>
Understanding of AI governance, security, compliance, and responsible AI practices.
</li>
<li>
Startup, SaaS, or product engineering experience is highly desirable.
</li>
</ul>
Success Metrics (KPIs)
<ul>
<li>
Successful deployment of AI products and solutions.
</li>
<li>
AI Agent task completion accuracy and effectiveness.
</li>
<li>
User adoption and satisfaction rates.
</li>
<li>
Reduction in manual effort through intelligent automation.
</li>
<li>
AI platform reliability, scalability, and performance.
</li>
<li>
Innovation initiatives delivered per quarter.
</li>
<li>
Time-to-market for AI products and features.
</li>
<li>
Revenue impact generated through AI-powered solutions.
</li>
</ul>
Ideal Candidate
A highly proactive AI leader who can quickly research, learn, architect, build, deploy, optimize, and scale emerging AI technologies. The ideal candidate combines strong technical expertise with leadership capabilities and possesses the vision to transform cutting-edge AI advancements into practical, scalable, and commercially successful products. They thrive in fast-moving environments and are passionate about driving innovation through AI.