# Senior Technical Lead - Agentic AI / Generative AI

> Weekday AI · India (Remote) · Full-time · Posted 2026-08-19

**Salary:** INR 3,000,000–5,000,000

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟱𝟬 𝗟𝗣𝗔)

Experience: 10+ yrs

Location: Remote (India)

Job Type: Full-time

We are looking for a highly experienced **Senior Technical Lead – Agentic AI / Generative AI** to own the architecture, technical direction, and delivery of production-grade AI solutions. This is a hands-on leadership role for someone who can move seamlessly from early-stage experimentation and prototyping to scalable enterprise production systems.

You will design and build **LLM-powered agentic systems, RAG architectures, multi-agent workflows, and AI applications**, while mentoring a team of AI/ML and backend engineers. You will also work closely with Product, Data, Platform, Security, and other stakeholders to turn emerging GenAI capabilities into reliable, scalable, and business-ready solutions.

## Requirements

### Key Responsibilities

### AI Architecture & Development

-   Architect and develop **Agentic AI and Generative AI systems** from concept through production.
-   Build multi-step reasoning agents, tool/function-calling workflows, and multi-agent architectures using frameworks such as **LangGraph, AutoGen, CrewAI**, or custom orchestration.
-   Design and productionize scalable **RAG pipelines**, including chunking, embeddings, vector search, and hybrid retrieval.
-   Evaluate and select foundation models based on performance, accuracy, latency, cost, and business requirements.
-   Develop strategies for prompt engineering, model routing, fine-tuning, and optimization.

### Production Engineering

-   Own technical architecture decisions for scalable, reliable, and cost-efficient LLM applications.
-   Establish engineering standards covering testing, evaluation, observability, guardrails, hallucination mitigation, and production monitoring.
-   Design APIs, microservices, and cloud-native architectures supporting AI applications at scale.
-   Drive AI/LLMOps practices across model lifecycle management, deployment, monitoring, and continuous improvement.

### Technical Leadership

-   Lead, mentor, and develop AI/ML and backend engineers.
-   Conduct technical design reviews, architecture discussions, and code reviews.
-   Establish engineering best practices and promote high standards for production AI development.
-   Provide technical direction while remaining actively involved in complex engineering problems.

### Cross-Functional Collaboration

-   Partner with Product, Data Science, Platform, Security, and Compliance teams to deliver AI solutions aligned with business objectives.
-   Ensure AI systems meet appropriate **privacy, security, compliance, and responsible-AI requirements**.
-   Communicate complex technical concepts clearly to senior leadership and business stakeholders.
-   Represent the AI engineering function in strategic discussions around GenAI technology and roadmap decisions.

### What's Makes You a Great Fit

-   **10+ years of overall software engineering experience**, including 4+ years working directly with AI/ML systems.
-   At least **2+ years of hands-on experience building and deploying LLM-based or agentic AI applications in production**.
-   Deep expertise in **LLM application development, RAG, embeddings, vector databases, prompt engineering, and AI agents**.
-   Practical experience with multi-agent systems, tool/function calling, memory management, planning, and reasoning workflows.
-   Strong **Python** and software engineering fundamentals with experience building scalable, distributed, production-grade systems.
-   Experience with APIs, microservices, cloud-native architecture, and at least one major cloud platform such as **AWS, Azure, or GCP**.
-   Hands-on experience with MLOps/LLMOps tools such as **MLflow, LangSmith, Weights & Biases**, or equivalent platforms.
-   Working knowledge of LLM fine-tuning and evaluation techniques, including **LoRA/PEFT, RLHF concepts, and offline/online evaluation frameworks**.
-   Proven ability to provide technical leadership, mentor engineers, own architecture decisions, and collaborate across teams.
-   Strong communication skills with the ability to translate complex technical concepts into clear business and executive-level discussions.

### Good to Have

-   Experience deploying and fine-tuning open-source models such as **Llama or Mistral**, alongside proprietary models/APIs.
-   Contributions to AI/GenAI open-source projects, technical publications, or conference presentations.
-   Experience building AI solutions within regulated industries such as finance, healthcare, or telecom.
-   Knowledge of AI guardrails, red-teaming, responsible AI, and model safety/evaluation frameworks.
-   Previous formal people-management experience.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/5F24E656CC/apply)

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