Job Title

K&K Talents is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in India, who is actively hiring candidates to expand their teams.Title: Senior Full Stack Engineer / Tech Lead – LLM & AI ProductsLocation: PAN India - RemoteEmployment Type: ContractShift Timings: Night ShiftProject Duration: 12 monthsRole:We are seeking a hands-on Staff Engineer / Tech Lead to join us at a very pivotal early-growth phase. The ideal candidate combines deep executional ability (80% ICwork) with light leadership, owning both architecture decisions and high-velocity feature delivery.Responsibilties:Hands-On Feature Delivery: Drive development of core product features through end-to-end ownership — coding, reviews, testing, and documentation.Refactor & Optimize: Reduce technical debt by modernizing legacy code, stabilizing the system, and enhancing performance.CI/CD Implementation: Build and manage fully automated deployment pipelinesto support fast, reliable delivery.Technical Strategy: Work closely with the technical founder to shape and execute Adsgency's engineering roadmap.Team Mentorship: Guide and mentor engineers, manage resources, and enforce scalable dev processes.Cross-Functional Execution: Collaborate with product, design, and investor stakeholders to ensure end-to-end execution readiness.Required Skills:Experience: 8–10 years in software engineering, ideally in IC or Staff roles (no pure people managers).Execution Mindset: Startup-level hustle with a bias toward shipping code and solving real problems.Frontend: React, TypeScript, Next.jsBackend: Python (Flask)Systems & Infra: Kubernetes, scalable microservices, distributed systems, architecture/design documentationData & ML: PyTorch, LangChain, multi-agent frameworks, Transformers, and modern LLM development experienceTooling: Cursor, AI dev tools (nice-to-have)Nice to Have:AdTech / MediaTech background (e.g. LinkedIn Ads, Meta Ads)Competitive coding pedigree (e.g. ICPC, Kaggle, hackathons)Experience with early-stage startups (pre-Series A) or founding teamsPrevious stints at high-growth product companies (Meta, Google, AWS, OpenAI, Perplexity, Pinecone, Scale AI, etc.)Top-tier academic background (GPA 3.8+/4.0 preferred)