Senior Full Stack Engineer / Tech Lead – LLM & AI Products

K&K Talents

Title: Senior Full Stack Engineer / Tech Lead – LLM & AI Products

Location: PAN India - Remote

Employment Type: Contract

Shift Timings: Night Shift

Project Duration: 12 months

Role:

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.js

• Backend:

  Python (Flask)

• Systems & Infra:

  Kubernetes, scalable microservices, distributed systems, architecture/design documentation

• Data & ML:

  PyTorch, LangChain, multi-agent frameworks, Transformers, and modern LLM development experience

• Tooling:

  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 teams
• Previous 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)