🧠 Job Title: Engineering Manager

Company: Darwix AI

Location: Gurgaon (On-site)

Type: Full-Time

Experience Required: 7–12 Years

Compensation: Competitive salary + ESOPs + Performance-based bonuses

🌐 About Darwix AI

Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one.

Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms.

Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot.

🎯 Role Overview

As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite.

This is a hands-on technical leadership role, requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision.

You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity.

🔧 Key Responsibilities1. Team Leadership & Delivery

Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps).
Own sprint planning, execution, review, and release cycles.
Ensure timely and high-quality delivery of key product features and platform improvements.
Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews.

2. Architecture & Technical Oversight

Review and refine high-level and low-level designs proposed by the team.
Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization.
Drive migration of legacy PHP code into scalable Python-based microservices.
Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality.

3. Hiring, Coaching & Career Development

Own the hiring and onboarding process for engineers in your pod.
Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback.
Foster a culture of ownership, transparency, and high-velocity delivery.

4. Process Design & Automation

Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation.
Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies.
Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc.

5. Cross-functional Collaboration

Work closely with the product team to translate high-level product requirements into granular engineering plans.
Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board.
Collaborate with customer success and client engineering for debugging and field escalations.

🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks:

Python (FastAPI, Flask, Django)
PHP (legacy services; transitioning to Python)
TypeScript, JavaScript, HTML5, CSS3
Mustache templates (preferred), React/Next.js (optional)

🔹 Databases & Storage:

MySQL (primary), PostgreSQL
MongoDB, Redis
Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines)

🔹 AI/ML Integration:

OpenAI APIs, Whisper, Wav2Vec, Deepgram
Langchain, HuggingFace, LlamaIndex, LangGraph

🔹 DevOps & Infra:

AWS EC2, S3, Lambda, CloudWatch
Docker, GitHub Actions, Nginx
Git (GitHub/GitLab), Jenkins (optional)

🔹 Monitoring & Testing:

Prometheus, Grafana, Sentry
PyTest, Selenium, Postman

✅ Candidate Profile👨💻 Experience:

7–12 years of total engineering experience in high-growth product companies or startups.
At least 2 years of experience managing teams as a tech lead or engineering manager.
Experience working on real-time data systems, microservices architecture, and SaaS platforms.

🎓 Education:

Bachelor’s or Master’s degree in Computer Science or related field.
Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs).

💼 Traits We Love:

You lead with clarity, ownership, and high attention to detail.
You believe in building systems—not just shipping features.
You are pragmatic and prioritize team delivery velocity over theoretical perfection.
You obsess over latency, clean interfaces, and secure deployments.
You want to build a high-performing tech org that scales globally.

🌟 What You’ll Get

Leadership role in one of India’s top GenAI startups
Competitive fixed compensation with performance bonuses
Significant ESOPs tied to company milestones
Transparent performance evaluation and promotion framework
A high-speed environment where builders thrive
Access to investor and client demos, roadshows, GTM huddles, and more
Annual learning allowance and access to internal AI/ML bootcamps
Founding-team-level visibility in engineering decisions and product innovation

🛠️ Projects You’ll Work On

Real-time speech-to-text engine in 11 Indian languages
AI-powered live nudges and agent assistance in B2B sales
Conversation summarization and analytics for 100,000+ minutes/month
Automated call scoring and custom AI model integration
Multimodal input processing: audio, text, CRM, chat
Custom knowledge graph integrations across BFSI, real estate, retail

📢 Why This Role Matters

This is not just an Engineering Manager role.

At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue.

You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales.

📩 How to Apply

Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to:

📧 people@darwix.ai

Subject: Application – Engineering Manager – [Your Name]

If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage.

Join Darwix AI. Let’s build something that lasts.

Darwix AI

New Jobs

Engineering Manager