FDE intern

The typical interview experience at docs.google.com involves an initial online coding assessment lasting 60‑90 minutes, focusing on algorithmic problems of medium to hard difficulty. Successful candidates move to a technical round with senior engineers where they discuss system design, debugging scenarios, and prompt‑engineering concepts specific to AI products. The final round is with HR, covering cultural fit, communication skills, and internship logistics. Candidates report a rigorous but fair process, with an emphasis on problem‑solving depth and clear articulation of thought process.

Docs.google.com, part of the larger Google ecosystem, is renowned for its innovative, data‑driven culture where engineers are encouraged to experiment and ship at scale. Employees benefit from extensive learning resources, mentorship programs, and a balanced work‑life approach that emphasizes flexibility and well‑being. The environment fosters collaboration across product, research, and engineering teams, offering clear growth pathways for high‑performing interns and fresh graduates.

B.Tech/B.E./M.Tech or equivalent in Computer Science, Electronics, IT or related branches; minimum 60% aggregate (or 6.0 CGPA) throughout the degree; must be a final‑year student or have graduated within the last 2 years; no active backlogs at the time of joining; must be able to work 8 hours daily as per the internship schedule.

Round 1: Online coding test (focus on data structures and algorithms) → Round 2: Technical interview (system design, debugging, prompt engineering) → Round 3: HR interview (culture fit, internship logistics)

Thinkly Labs, operating under the brand Thinkly AI, is a fast‑growing Indian startup focused on building AI‑driven voice agents for the real‑estate sector. The company leverages large language models, vector databases, and cutting‑edge speech synthesis to create conversational agents that can handle inbound and outbound calls, qualify leads, and provide property information in real time. With a client roster that includes some of the biggest names in Indian real‑estate, Thinkly Labs has positioned itself as a niche player that bridges the gap between advanced AI research and tangible business outcomes. The work culture is highly collaborative, experimental, and driven by a "ship‑fast, iterate‑fast" mindset. Engineers get hands‑on exposure to production‑grade AI pipelines from day one, making it an ideal environment for fresh talent eager to see their code impact real customers. The role of a Forward Deployed Engineer (FDE) Intern is uniquely positioned at the intersection of client interaction, product engineering, and AI research. As an FDE intern, you will be embedded with client‑facing teams, debugging live voice agents during real calls, fine‑tuning model prompts, and shipping small yet critical features to the production stack. You will also build demo environments for prospective customers, which involves crafting prompts that are both technically sound and business‑relevant. The internship is full‑time, remote, and requires a commitment of 8 hours daily, Monday to Saturday, with occasional alternate Saturdays. Key responsibilities include: 1. Debugging and optimizing AI voice agents running on live client calls. 2. Implementing bug fixes and minor feature enhancements in the production codebase. 3. Designing and delivering interactive demos for sales prospects. 4. Writing, iterating, and engineering prompts that reliably guide LLM behavior. 5. Collecting field failures, reproducing them, and feeding insights back to the product team. 6. Collaborating with backend engineers to integrate vector‑DB retrieval and speech‑to‑text pipelines. 7. Maintaining documentation of client‑specific customizations. 8. Participating in code reviews and adhering to the team’s CI/CD practices. 9. Monitoring performance metrics of deployed agents and proposing improvements. 10. Assisting the support team with urgent client escalations. The tech stack revolves around Next.js for the frontend, FastAPI for backend services, PostgreSQL for relational data, various vector‑DB solutions for semantic search, and N8N for workflow automation. Familiarity with OpenAI, Anthropic, or Gemini APIs, as well as LangChain/LlamaIndex for prompt orchestration, is highly valued. Strong Python skills and an engineering mindset toward prompting are non‑negotiable. Growth prospects are significant: high‑performing interns can be offered full‑time roles, gain exposure to enterprise clients, and potentially lead product modules. The startup environment also offers rapid learning, mentorship from senior AI engineers, and the chance to influence product direction early in your career. Joining Thinkly AI means working on cutting‑edge conversational AI, solving real business problems, and building a portfolio that stands out in the Indian tech ecosystem.