This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Lead based in India.

This role is a senior technical leadership position focused on designing and scaling next-generation Agentic AI systems that enable autonomous reasoning, planning, and execution of complex tasks. You will be responsible for shaping the end-to-end AI architecture, including LLM-powered workflows, multi-agent systems, and enterprise-grade AI applications. The position blends deep hands-on engineering with strategic leadership, requiring you to guide teams while also contributing to critical technical decisions. You will work across Generative AI, machine learning, and cloud-native infrastructure to build scalable and production-ready AI solutions. A key aspect of the role involves integrating advanced frameworks, optimizing model performance, and ensuring robust deployment through MLOps best practices. This is a high-impact opportunity to define AI direction, drive innovation, and influence how intelligent systems are built and deployed at scale.

Accountabilities:

- Design and architect multi-agent AI systems capable of autonomous reasoning, planning, and task execution across enterprise use cases.

- Build and orchestrate LLM-powered workflows using frameworks such as LangChain, LangGraph, CrewAI, and AutoGen.

- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, including embedding strategies, vector search, and knowledge grounding.

- Design agent memory systems, context management approaches, and long-term knowledge retention mechanisms for scalable AI applications.

- Integrate external APIs, tools, databases, and third-party services into agentic AI workflows.

- Lead prompt engineering strategies and optimize LLM behavior for production-grade performance and reliability.

- Build, train, and deploy machine learning models for classification, prediction, recommendation, anomaly detection, and ranking systems.

- Fine-tune foundation models and LLMs using techniques such as LoRA, PEFT, quantization, and instruction tuning.





- Define model evaluation frameworks using relevant ML metrics and business KPIs to ensure performance and reliability.

- Establish and manage end-to-end MLOps pipelines for training, deployment, monitoring, versioning, and governance.

- Implement CI/CD pipelines for AI/ML systems and ensure smooth deployment workflows across environments.

- Deploy and manage AI solutions on cloud platforms such as AWS, Azure, and GCP using containerized and scalable infrastructure.

- Lead architectural decisions for AI systems while mentoring engineers and driving technical excellence across teams.

- Collaborate with product and business stakeholders to align AI solutions with strategic objectives and innovation goals.

Requirements:

- 8–10 years of overall experience in software engineering with robust exposure to production systems.

- At least 4+ years of hands-on experience in AI/ML engineering and deploying production-grade AI solutions.

- Proven experience building Agentic AI systems, autonomous agents, or LLM-powered applications at scale.

- Strong expertise in Large Language Models, including prompt engineering, fine-tuning, and model optimization techniques.

- Proficiency in Python and AI frameworks such as LangChain, LangGraph, or similar ecosystems.

- Strong understanding of RAG systems, embeddings, vector databases, and semantic search technologies.

- Hands-on experience with MLOps tools and practices, including CI/CD for ML, monitoring, and model governance.

- Experience working with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes.

- Strong leadership, communication, and stakeholder management skills with ability to guide technical teams.





- Ability to translate research and emerging AI advancements into scalable production systems.

Benefits:

- Competitive senior-level compensation package aligned with industry standards

- Remote-first work environment with flexibility in work structure

- Opportunity to lead cutting-edge Agentic AI and Generative AI initiatives

- High-impact leadership role with ownership of AI architecture and strategy

- Exposure to advanced AI research, frameworks, and enterprise-scale deployments

- Strong career growth opportunity in a rapidly evolving AI-driven organization

- Collaborative, innovation-focused engineering culture

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 AI Lead (India)
🏢 Important Company of the Sector
📍 India