Engineering Manager (Bengaluru)

Engineering Manager (Bengaluru)

05 Sep
|
HuntingCube
|
Bengaluru

05 Sep

HuntingCube

Bengaluru

Job Description

Role Overview Engineering Manager / Technical Lead - Software Engineering Location: HSR Layout, Bengaluru (In office) The Role We are looking for a Technical Engineering Manager / Team Lead to drive our ground-level execution. You don;t need decades of management experience; instead, you need profound technical depth, the ability to make rapid day-to-day architectural decisions, and the drive to lead from the front. You will act as the crucial liaison between our hands-on engineering/architecture teams and senior leadership, ensuring alignment, speed, and engineering excellence. Key Responsibilities

- Drive Execution: Take ownership of sprint deliverables and day-to-day engineering operations, ensuring the team moves fast without compromising on quality.
- Technical Decision Making: Partner with our Architects and Engineers to unblock them, resolve technical debates, and make pragmatic on-the-ground architectural decisions.
- Bridge the Gap: Act as the primary liaison between the core engineering team and senior leadership, translating high-level product vision into actionable technical roadmaps.
- Foster Agentic Engineering: Champion our culture of high autonomy and AI-augmented development, helping the team leverage the right tools to multiply their output.
- Mentorship & Culture: Cultivate a high-performance, low-ego workplace. Be there for the team, offering technical mentorship and operational support. The Tech Stack You'll Lead With
- Core Languages: Python and TypeScript.
- Agentic Frameworks & Orchestration: Hands-on experience with multi-agent orchestration tools (e.g., LangGraph, CrewAI, AutoGen, or Pydantic AI).




- AI/LLM Integration: Deep familiarity with building on top of major foundation models (OpenAI, Anthropic, Google Gemini), prompt engineering, and context management.
- Memory & Data: Experience with Vector Databases (e.g., Pinecone, Weaviate, Qdrant) for agent memory and RAG pipelines.
- Observability & Evals: Familiarity with tracing and evaluating AI outputs (e.g., LangSmith, Logfire).
- Infrastructure: Solid grasp of Docker, Kubernetes, and cloud services (AWS/GCP) to deploy scalable agent environments. (Note: Feel free to adjust these specific tools to match your exact internal stack). What We're Looking For
- Extreme Technical Depth: You have a strong background as a Senior Software Engineer, Tech Lead, or Staff Engineer. You can easily dive into the codebase, review PRs, and hold your own in deep technical architectural discussions.
- Startup DNA: You thrive in ambiguity and fast-paced environments. You prefer moving the needle over bureaucratic processes.
- Pragmatic Leadership: You don't need to be a veteran executive. You just need to be highly capable of organizing a team, managing stakeholders, and making decisive technical calls. Key Skills - Python - TypeScript - LangGraph - CrewAI - AutoGen - Pydantic AI - OpenAI - Anthropic - Google Gemini - Pinecone - Weaviate - Qdrant - LangSmith - Logfire - Docker - Kubernetes - AWS - GCP

Required Skills

[Python, TypeScript, LangGraph, CrewAI, AutoGen, Pydantic AI, OpenAI, Anthropic, Google Gemini, Pinecone, Weaviate, Qdrant, LangSmith, Logfire, Docker, Kubernetes, AWS, GCP]

Additional Information

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📌 Engineering Manager (Bengaluru)
🏢 HuntingCube
📍 Bengaluru

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