Tech Lead

6 days ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 20,00,000 - ₹ 25,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 20-25 LPA)

Min Experience: 6 years

Location: Bengaluru

JobType: full-time

We are seeking a highly skilled Tech Lead to define and drive the architecture of multi-agent AI workflows. This role will lead the development of Agent-to-Agent handoff systems, ensuring seamless context and content transfer across AI agents (e.g., Content → Design → Video). The ideal candidate will have hands-on expertise in LLM hosting, orchestration, and optimization, along with strong infrastructure knowledge to deliver secure, scalable, and cost-effective AI solutions.

Requirements

Key Responsibilities

  • Architect and own the full AI stack, including LLM hosting, backend services, orchestration, and infrastructure.
  • Design and optimize multi-agent orchestration pipelines with contextual memory and intelligent handoff mechanisms.
  • Deploy, fine-tune, and optimize LLMs using self-hosted and open-source frameworks (e.g., Ollama, HuggingFace, LangChain).
  • Implement secure, private AI pipelines with role-based access, encryption, and monitoring — ensuring sensitive data never leaves the environment.
  • Make strategic infrastructure choices (GPU clusters, vector databases, orchestration tools) to balance performance, cost, and security.
  • Lead DevOps practices such as CI/CD, observability, monitoring, and auto-scaling for AI workloads.
  • Mentor and guide engineering teams on best practices for model deployment, scaling, and optimization.
  • Collaborate with Product and Design teams to accelerate feature delivery and improve cross-functional outcomes.
  • Ensure compliance with data protection regulations (GDPR, privacy-first AI design).
  • Continuously evaluate emerging OSS models and frameworks to improve cost-efficiency and system performance.

Qualifications

  • 7+ years of experience in software engineering/AI systems, with at least 3+ years in ML/LLM deployment.
  • Strong background in LLM hosting and fine-tuning (Ollama, HuggingFace, LangChain, vLLM, LoRA).
  • Proven experience deploying generative AI across multiple modalities (text, image, video).
  • Expertise in GPU infrastructure across cloud (AWS/GCP/Azure) and hybrid/on-prem setups, with Kubernetes/Docker.
  • Solid backend engineering skills (Python, , microservices, event-driven systems).
  • Track record of leading engineering teams and delivering production-grade AI products.
  • Strong knowledge of vector databases (Pinecone, Weaviate, Milvus) and retrieval pipelines (RAG).
  • Excellent communication skills to align product, design, and technical teams.

Nice to Have

  • Experience with multi-agent or Agentic AI systems.
  • Background in marketing-tech or SaaS product platforms.
  • Knowledge of GPU optimization techniques (quantization, batching, caching).
  • Hands-on experience with privacy-first AI architectures.

Core Skills

  • LLM Deployment
  • AI Systems Architecture
  • Multi-Agent Orchestration
  • Secure AI Infrastructure

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