Senior Technical Lead - Agentic AI

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

This is a hands-on technical leadership opportunity focused on building production-grade Agentic AI and Generative AI solutions.

You will own architecture, technical direction, and delivery from early experimentation through enterprise-scale deployment.

The role involves designing LLM-powered agents, RAG architectures, multi-agent workflows, and intelligent AI applications.

You will combine deep engineering expertise with leadership, mentoring AI/ML and backend engineers while remaining close to complex technical challenges.

You will collaborate with Product, Data, Platform, Security, and Compliance teams to translate emerging AI capabilities into practical business solutions.

The position offers the opportunity to shape GenAI engineering standards, AI roadmaps, and scalable cloud-native platforms in a remote environment.

Accountabilities

• AI architecture and development: Architect, design, and develop Agentic AI and Generative AI solutions from concept and prototyping through production, including multi-step reasoning agents, tool/function-calling workflows, and multi-agent systems.
• RAG and LLM applications: Build scalable RAG pipelines covering chunking, embeddings, vector search, hybrid retrieval, prompt engineering, model routing, fine-tuning, and optimization.
• Model strategy: Evaluate and select foundation models based on accuracy, performance, latency, cost, and business requirements.
• Production engineering: Own technical architecture decisions for reliable, scalable, secure, and cost-efficient LLM applications, including APIs, microservices, and cloud-native architectures.
• AI/LLMOps: Establish practices for model lifecycle management, deployment, monitoring, evaluation, observability, guardrails, hallucination mitigation, and continuous improvement.
• Technical leadership: Lead and mentor AI/ML and backend engineers, conduct architecture and design reviews, participate in code reviews, and establish strong engineering standards for production AI.
• Cross-functional collaboration: Partner with Product, Data Science, Platform, Security, and Compliance teams to ensure AI solutions align with business objectives, privacy requirements, security standards, and responsible-AI principles.
• Strategic communication: Communicate complex AI concepts and technical decisions effectively to senior leadership and business stakeholders while contributing to GenAI technology strategy and roadmap discussions.

Requirements

• Experience: 10+ years of overall software engineering experience, including at least 4 years working directly with AI/ML systems and 2+ years building and deploying LLM-based or Agentic AI applications in production.
• Generative AI expertise: Strong hands-on knowledge of LLM application development, RAG, embeddings, vector databases, prompt engineering, AI agents, memory management, planning, reasoning, and tool/function calling.
• Agentic AI frameworks: Practical experience with frameworks such as LangGraph, AutoGen, CrewAI, or equivalent custom orchestration approaches.
• Software engineering: Strong Python and software engineering fundamentals, with experience developing scalable, distributed, production-grade systems.
• Cloud and architecture: Experience with APIs, microservices, cloud-native architectures, and at least one major cloud platform such as AWS, Azure, or GCP.
• MLOps/LLMOps: Hands-on experience with platforms or tools such as MLflow, LangSmith, Weights & Biases, or equivalent solutions.
• Model optimization: Working knowledge of fine-tuning and evaluation techniques, including LoRA/PEFT, RLHF concepts, and offline and online evaluation frameworks.
• Leadership: Demonstrated ability to own architecture decisions, provide technical direction, mentor engineers, conduct technical reviews, and collaborate effectively across functions.
• Communication: Excellent communication skills with the ability to translate complex technical concepts into clear business and executive-level discussions.
• Preferred expertise: Experience deploying or fine-tuning open-source models such as Llama or Mistral, contributing to AI/GenAI open-source projects or publications, or working on AI solutions in regulated industries such as finance, healthcare, or telecom.
• Responsible AI: Knowledge of AI guardrails, red-teaming, responsible AI, model safety, and evaluation frameworks is advantageous.
• Additional leadership experience: Previous formal people-management experience is a plus.

Benefits

• Competitive compensation: ₹30,00,000-₹50,00,000 per year.
• Remote flexibility: Fully remote position based in India.
• Full-time opportunity: Permanent, full-time role with significant technical ownership and leadership scope.
• AI innovation: Opportunity to work hands-on with Agentic AI, Generative AI, LLMs, RAG, and emerging AI technologies.
• Leadership growth: Ability to mentor engineering talent and influence technical standards, architecture, and AI strategy.
• Cross-functional exposure: Collaborate with Product, Data, Platform, Security, Compliance, and senior business stakeholders.
• Enterprise impact: Build scalable, production-ready AI solutions designed to deliver measurable business value.