Senior Technical Lead - Agentic AI / Generative AI
New
W
Weekday AIAI / Generative AI
Remote (India)Full-TimeSenior
Salary3,000,000 - 5,000,000 INR per year
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Job Details
- Experience
- 10+ years of overall 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.
- Required Skills
- PythonCloud ComputingLLMMLOpsGenerative AI
Requirements
- 10+ years of overall 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 application development, RAG, embeddings, vector databases, prompt engineering, and AI agents.
- Practical experience with multi-agent systems, tool/function calling, memory management, and reasoning workflows.
- Strong Python and software engineering fundamentals.
- Experience with APIs, microservices, and cloud-native architecture on AWS, Azure, or GCP.
- Hands-on experience with MLOps/LLMOps tools like MLflow, LangSmith, or Weights & Biases.
- Working knowledge of LLM fine-tuning and evaluation techniques including LoRA/PEFT and RLHF.
- Proven technical leadership and mentoring capability.
- Strong communication skills for cross-functional collaboration and stakeholder management.
Responsibilities
- 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.
- Design and productionize scalable RAG pipelines, including chunking, embeddings, vector search, and hybrid retrieval.
- Own technical architecture decisions for scalable, reliable, and cost-efficient LLM applications.
- Establish engineering standards covering testing, evaluation, observability, guardrails, and production monitoring.
- Drive AI/LLMOps practices across model lifecycle management, deployment, and continuous improvement.
- Lead, mentor, and develop AI/ML and backend engineers.
- Partner with Product, Data Science, Platform, Security, and Compliance teams to deliver business-aligned AI solutions.
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