About DotKonnekt

DotKonnekt is a new-age Gen AI company helping enterprises leapfrog into production-grade AI. We build AI systems that operate at real enterprise scale — deeply integrated into the workflows, operations, and decisions that actually run businesses.

While most organisations stay stuck in endless experimentation, we combine domain expertise, a future-ready agentic platform, and embedded engineering teams to turn AI ambition into durable production advantage — in weeks, not quarters.

The principles that shape our squad:

- We hire curious builders, relentless problem-solvers, and people who get uncomfortable standing still. - We're not looking for people who simply keep pace — we want people who raise it. - If ambiguous problems excite you, craft matters deeply to you, and you want your work to have visible impact, you'll feel at home here. - We're distributed-first, async-native, and high ownership by default. We hold each other to a high standard because that's how outstanding teams build meaningful things together.

What You'll Do

- Architect multi-agent systems capable of handling complex, multi-step enterprise tasks with reliability and observability baked in. - Automate previously manual processes by identifying automation opportunities and engineering end-to-end agent pipelines. - Build and maintain FastAPI services that expose AI capabilities to the broader platform and client applications. - Evaluate, benchmark, and integrate new Gen AI tools and models into the DotKonnekt stack — you are expected to have a strong, evidence-based point of view. - Leverage Claude Code, Cursor,



and other AI-native development tools in your daily workflow — we treat these as force multipliers, not novelties. - Contribute to open-source projects relevant to our stack and bring that community knowledge in-house. - Collaborate with team to integrate agentic capabilities into client-facing systems. - Document agentic designs, prompt engineering decisions, and architectural trade-offs so the team can build on your work.

What We're Looking For

Must-Have

- 2–5 years of software engineering experience, with at least 1–2 years working hands-on with Gen AI and LLMs in a production context. - Deep Python expertise — async programming, package management, and writing production-quality code. - Hands-on experience with LangChain, LangGraph, or equivalent agentic orchestration frameworks. - Proven experience building with LLM APIs (Anthropic Claude, OpenAI, or similar) — including prompt engineering, function calling, and retrieval-augmented generation (RAG). - Active GitHub presence: open-source contributions, personal projects, or tools you've published that others use. - Experience automating real-world tasks with AI agents — not just prototypes.



- Familiarity with FastAPI for building AI-serving microservices. - Robust debugging instincts for non-deterministic systems — you know how to evaluate agent output quality, not just function correctness.

Strong Advantage

- Daily use of AI-native dev tools: Claude Code, Cursor, Copilot, or equivalents. - Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding pipelines. - Contributions to open-source LLM tooling or agentic frameworks. - Experience deploying AI systems on AWS or GCP — containerised, scalable, observable. - Familiarity with evaluation frameworks for LLM outputs (RAGAS, LangSmith, etc.).

You Are

- Insatiably curious — you have a tab open to the latest model card right now. - A builder first — your ideas live on GitHub, not just in Notion. - Able to move fast without accumulating debt you can't pay back. - Someone who pushes peers to think bigger and ships faster.

Why DotKonnekt is a Leapfrog Opportunity

- Ground-floor equity in a company where the trajectory is up and to the right — we're early enough that your work shapes the product, the culture, and the org design. - You'll work across real enterprise deployments — not sandboxes — where the stakes are high and the wins are visible. - Our platform is agentic-first. You'll be building and shipping with the tools that are defining the next decade of software. - Speed is a feature. Your decisions matter and they ship. - Direct access to leadership, collaborative design reviews, and a culture where curiosity and candour are the norm.

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 dotkonnekt
📍 Bengaluru