Senior Technical Lead - Agentic AI / Generative AI
New
W
WeekdaySoftware Development
IndiaFull-TimeSenior
Salary3,000,000 - 5,000,000 INR per year
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Job Details
- Experience
- 10+ yrs
- Required Skills
- AWSPythonGCPAzureLLMMLOpsGenerative 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, 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 evaluation frameworks.
- Proven ability to provide technical leadership, mentor engineers, and own architecture decisions.
- Strong communication skills with the ability to translate complex technical concepts into clear business and executive-level discussions.
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.
- Develop strategies for prompt engineering, model routing, fine-tuning, and optimization.
- Establish engineering standards covering testing, evaluation, observability, guardrails, and hallucination mitigation.
- Design APIs, microservices, and cloud-native architectures supporting AI applications at scale.
- Lead, mentor, and develop AI/ML and backend engineers.
- Partner with Product, Data Science, Platform, Security, and Compliance teams to deliver AI solutions.
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