Senior Technical Lead – Agentic AI, Generative AI

This is a fully remote position, open to applicants in India.

📋 Description

• Design and develop Agentic AI and Generative AI systems from initial concept to production.

• Create multi-step reasoning agents, tool/function-calling workflows, and multi-agent architectures utilizing LangGraph, AutoGen, CrewAI, or custom orchestration solutions.

• Design and implement scalable RAG pipelines, which encompass chunking, embeddings, vector search, and hybrid retrieval techniques.

• Assess and choose foundation models based on their performance, accuracy, latency, cost, and business needs.

• Formulate strategies for prompt engineering, model routing, fine-tuning, and optimization processes.

• Take ownership of technical architecture decisions for scalable, reliable, and cost-effective LLM applications.

• Set engineering standards for testing, evaluation, observability, guardrails, hallucination mitigation, and production monitoring.

• Develop APIs, microservices, and cloud-native architectures that support AI applications at scale.

• Promote AI/LLMOps practices throughout the model lifecycle, including management, deployment, monitoring, and continuous enhancement.

• Lead, mentor, and train AI/ML and backend engineers.

• Perform technical design reviews, lead architecture discussions, and conduct code reviews.

• Establish engineering best practices and advocate for high standards in AI production development.

• Provide technical guidance while remaining actively engaged in complex engineering challenges.

• Collaborate with Product, Data Science, Platform, Security, and Compliance teams to deliver AI solutions that align with business objectives.

• Ensure that AI systems comply with privacy, security, compliance, and responsible AI guidelines.

• Effectively communicate complex technical ideas to senior leadership and business stakeholders.

• Represent the AI engineering function in strategic discussions regarding GenAI technology and roadmaps.

⛳️ Requirements

• Over 10 years of comprehensive software engineering experience, with a minimum of 4 years focused on AI/ML systems.

• At least 2 years of practical experience in building and deploying LLM-based or agentic AI applications in production settings.

• Profound expertise in LLM application development, RAG, embeddings, vector databases, prompt engineering, and AI agents.

• Practical knowledge of multi-agent systems, tool/function calling, memory management, planning, and reasoning workflows.

• Strong Python skills and solid software engineering fundamentals, with experience in creating scalable, distributed, production-grade systems.

• Familiarity with APIs, microservices, cloud-native architectures, and at least one major cloud platform such as AWS, Azure, or GCP.

• Hands-on experience with MLOps/LLMOps tools like MLflow, LangSmith, Weights & Biases, or similar platforms.

• Working understanding of LLM fine-tuning and evaluation methods, including LoRA/PEFT, RLHF concepts, and both offline and online evaluation frameworks.

• Proven capability to provide technical leadership, mentor engineers, make architectural decisions, and collaborate across teams.

• Excellent communication skills, with the ability to convey complex technical concepts in clear business and executive-level discussions.

• Experience in deploying and fine-tuning open-source models like Llama or Mistral, as well as proprietary models/APIs.

• Contributions to AI/GenAI open-source projects, technical publications, or conference presentations.

• Experience in developing AI solutions within regulated industries such as finance, healthcare, or telecommunications.

• Knowledge of AI guardrails, red-teaming, responsible AI practices, and model safety/evaluation frameworks.

• Previous formal experience in people management.

🏝️ Benefits

• Comprehensive health and wellness programs.

• Opportunities for professional development and career advancement.

• Flexible work arrangements and a supportive work environment.

• Competitive salary and performance-based bonuses.

• Access to cutting-edge technologies and tools.