Backend Engineer
Location: Gurugram
Experience: 3-5 Years
Type: Full Time
About the role:
We’re hiring a Backend Engineer with strong software engineering fundamentals and hands-on experience in data-heavy systems, ML pipeline integration, and streaming data. You’ll focus on backend development- building APIs, services, and infrastructure while also collaborating with data/ML teams to scale intelligent features into production. This role is suitable for you if you have an entrepreneurial mindset, a hunger for learning, and enjoy your work. You will be handling multiple responsibilities simultaneously, where you will be challenged every day. Please do not apply if you are looking for a 9-5 kind of role.
Key responsibilities:
- ML Pipelines: Build and maintain ML pipelines. From data ingestion and feature engineering to model serving and monitoring.
- Backend Development: Design and build scalable RESTful/GraphQL APIs using Node.js, Python, or similar.
- Pipeline Integration: Work with ML engineers to integrate training/inference pipelines into backend systems.
- Streaming & Real-Time Systems: Build and maintain data ingestion and processing systems using Kafka or similar tools.
- DevOps & Infra: Collaborate on containerization, deployment (Docker), and CI/CD pipelines.
- System Design: Contribute to architectural decisions, database modeling, and backend scaling strategies.
Must have skills:
- 3–5 years of backend development experience.
- Proficient in Python with knowledge of JavaScript/Node.js.
- Hands-on experience with ML pipelines.
- Exposure to MLOps tools: Docker, Kubernetes, model registries, deployment frameworks.
- Familiarity with cloud infrastructure (AWS, GCP, or Azure) and serverless deployment practices.
- Familiarity with streaming technologies (e.g., Kafka).
- Solid experience with SQL and NoSQL databases.
- Prior experience integrating machine learning models into backend systems or APIs.
AI Engineer
Location: Gurugram
Experience: 3-5 Years
Type: Full Time
About the role:
We are looking for a hands-on and skilled Senior AI Engineer to join our team. You will work closely with the founding team to build and scale AI-driven solutions, contribute to the design and development of GenAI systems, and help turn ideas into production-ready products. This role is suitable for you if you have an entrepreneurial mindset, a hunger for learning, and enjoy your work. You will be handling multiple responsibilities simultaneously, where you will be challenged every day. Please do not apply if you are looking for a 9-5 kind of role.
Key responsibilities:
- Lead AI Initiatives: Architect, prototype, and deploy GenAI and ML solutions across real-world use cases.
- Hands-On coding: Roll up your sleeves and build- whether it’s a fine-tuned LLM, smart chatbot, or GenAI-enabled applications.
- Work closely with the CEO: Act as a thought partner to the founder and contribute to strategic decisions.
- Build & mentor the team: Lead a growing AI/Tech team.
- Product-First mindset: Collaborate with product and design teams to ship AI-driven features that solve real user problems.
- Stay ahead: Continuously explore and experiment with cutting-edge GenAI tools and APIs.
- Pre-sales: Working with clients, advising on AI strategy, preparing proposals, and solving issues.
Must have skills:
- 3–5 years of experience in AI/ML, data analytics roles.
- Solid knowledge of GenAI and experience building scalable solutions using LLMs, prompt engineering, embedding models, etc.
- Proficient in Python and frameworks like LangChain, Hugging Face Transformers, OpenAI, Pinecone / FAISS, etc.
- Strong understanding of data analytics, data pipelines, and ability to move from prototype to production.
- Ability to independently manage projects, make decisions, and take ownership from Day 1.
- Intuitive understanding of the math behind GenAI systems such as LLMs.
Good to have:
- Experience with MLOps tools (e.g., MLflow, Airflow, Weights & Biases).
- Familiarity with vector databases and cloud deployment (AWS/GCP).
- Open-source contributions or personal GenAI projects.