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Senior Technical Lead - Agentic AI / Generative AI

1 hour, 39 minutes ago
India
Full-time
Lead
AI (Artificial Intelligence)
Software Development
AWS Azure Cybersecurity GCP Generative AI Microservices MLflow MLOps Python
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Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020
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Description

  • Architect and develop agentic AI and generative AI systems from prototype through production.
  • Build multi-step reasoning agents, tool-calling workflows, and multi-agent architectures using frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration.
  • Design and productionize scalable RAG pipelines covering chunking, embeddings, vector search, and hybrid retrieval.
  • Evaluate foundation models and develop strategies for prompt engineering, routing, fine-tuning, and optimization.
  • Own technical architecture for reliable, scalable, and cost-efficient LLM applications.
  • Establish standards for testing, evaluation, observability, guardrails, hallucination mitigation, and monitoring.
  • Design APIs, microservices, cloud-native architectures, and AI/LLMOps processes.
  • Lead, mentor, and develop AI/ML and backend engineers through design and code reviews.
  • Partner with Product, Data, Platform, Security, and Compliance teams to deliver business-aligned, responsible AI solutions.
  • Communicate technical direction and GenAI roadmap decisions to senior leadership and business stakeholders.

Requirements

  • 10+ years of software engineering experience, including 4+ years working directly with AI/ML systems.
  • 2+ years of hands-on experience building and deploying LLM-based or agentic AI applications in production.
  • Deep expertise in LLM applications, RAG, embeddings, vector databases, prompt engineering, and AI agents.
  • Experience with multi-agent systems, tool/function calling, memory management, planning, and reasoning workflows.
  • Strong Python and software engineering fundamentals, including scalable and distributed systems.
  • Experience with APIs, microservices, cloud-native architecture, and AWS, Azure, or GCP.
  • Experience with MLOps/LLMOps tools such as MLflow, LangSmith, Weights & Biases, or equivalent.
  • Knowledge of fine-tuning and evaluation techniques, including LoRA/PEFT, RLHF concepts, and offline/online evaluation.
  • Technical leadership, architecture ownership, mentoring, and strong cross-functional communication skills.
  • Preferred: experience with Llama or Mistral, AI open-source contributions, regulated industries, responsible AI, model safety, or formal people management.

Benefits

  • INR 30–50 LPA salary range.
  • Remote work from India.
  • Full-time employment.

Interested in this position?

Apply directly on the company website

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