What We’re Looking For

We’re seeking a Senior Software Engineer (SDE 2) with a strong technical foundation and a builder’s mindset. This role is perfect for someone who thrives in a fast-moving startup environment, enjoys solving complex problems, and takes pride in their work. Whether you’re a fullstack expert or specialize in frontend or backend development, we’d love to hear from you.

Your Role

• Build & Deliver: Design, develop, and deploy robust software solutions with a focus on scalability and performance.
• Problem Solver: Tackle technical challenges with creativity, balancing trade-offs to find the best solutions.
• Collaborate: Work closely with other engineers, product managers, and designers to deliver seamless, impactful features.
• Take Ownership: Lead projects end-to-end, ensuring high-quality results and driving continuous improvement.
• Adapt & Innovate: Thrive in a dynamic environment and contribute to building the foundation of our technical ecosystem.

What You Bring

• 3+ years of professional software development experience.
• Strong expertise in at least one programming language (e.g., Python, JavaScript/TypeScript, Java, Go, etc.).
• Proficiency in frontend (React, Angular, or Vue.js) and/or backend (Node.js, Django, or Spring Boot) technologies.
• Solid understanding of cloud platforms (AWS, GCP, or Azure) and CI/CD workflows.
• Familiarity with scalable system design and performance optimization.

You'd Be a Great Fit If You Are

• Ownership-Oriented: You take responsibility for your work and see it through to completion.
• Problem-Focused: You enjoy solving technical challenges and finding practical solutions.
• Team Player: You work well with others and communicate effectively across teams.
• Entrepreneurial: You’re motivated to build from scratch and adapt to changing priorities.
• Detail-Driven: You aim for quality and have high standards for your work.

Join our innovative team as a Software Engineer specializing in Node.js, where you'll have the opportunity to drive the development of ground-breaking AI-driven products within a remote work setting. Our company is dedicated to leveraging advanced technologies to deliver superior product solutions, and we're seeking a talented individual with a passion for backend development and a strong understanding of Node.js frameworks. In this role, you will be responsible for designing, developing, and maintaining robust backend systems that can scale effectively. Your technical expertise will be utilized to build and manage microservices and RESTful APIs, employing frameworks like Express.js and NestJS, while ensuring the highest levels of system performance and reliability. Collaboration is at the forefront of our culture; you’ll work closely with product, design, and engineering teams to create seamless technical solutions that meet diverse customer needs. As part of your responsibilities, you will deploy and monitor applications using cloud services like AWS or GCP, leveraging tools such as Docker and Kubernetes to manage your deployments and ensure smooth operational workflows. In addition to writing modular, efficient, and reusable code, you will also play a role in system architecture and participate in design reviews to align technical solutions with business goals. We value continuous improvement and will look to you to mentor junior engineers, helping to foster a high-performing, supportive engineering culture. If you are driven to deliver quality and efficiency, and enjoy solving complex challenges while working within an agile framework, this is your chance to make a significant impact in an exciting and rapidly evolving field. Join us in shaping the future of technology and be at the forefront of AI-enhanced product development.

AI Engineer Role

We are looking for an AI Engineer to build, deploy, and optimize AI solutions — especially Large Language Model (LLM) systems — for real-world business applications. You’ll work across the full development lifecycle: from setting up data pipelines to integrating AI into production environments with a strong focus on performance, monitoring, and business value.

You’ll thrive here if you enjoy working independently, navigating ambiguity, and pushing AI systems from experiments into production-grade solutions.

Key Responsibilities

Model Development & Integration

• Fine-tune, deploy, and evaluate LLMs (including RAG and vector database integrations) for client-specific use cases.

Data Pipelines

• Build robust data ingestion, processing, and transformation pipelines to support model training and inference workflows.

AI/ML System Architecture

• Architect end-to-end AI solutions — selecting the right models, frameworks, and MLOps tools to meet performance and scalability goals.

Orchestration & Automation

• Build AI workflows using tools like n8n, relay.app, and integrate multiple AI plugins (e.g., Byword, Exa, Clay) to create cohesive systems.

Monitoring & Observability

• Implement model monitoring, testing frameworks, and evaluation pipelines to ensure reliability, robustness, and compliance in production.

Collaboration & Mentorship

• Collaborate closely with cross-functional teams (design, engineering, product). Mentor junior engineers when required.

Continuous Learning & Sharing

• Stay on top of AI/ML advancements and actively share learnings through case studies, internal workshops, and publications.

What We're Looking For

• 3 to 7 years of hands-on experience in AI/ML engineering, with proven experience working with LLMs and multi-agent systems.
• Strong Python skills with production-grade usage of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, or similar.
• Experience deploying and monitoring AI models in production environments using MLOps platforms (MLflow, Kubeflow, etc.).
• Deep understanding of vector databases, retrieval-augmented generation (RAG), and prompt engineering best practices.
• Practical exposure to multimodal AI systems (combining text, image, audio inputs).
• Comfort with fast-changing environments; ability to move fast, ship often, and iterate based on feedback.
• Strong communication skills — proactive in raising blockers, suggesting improvements, and collaborating across functions.

Nice to Have

• Prior experience working in a consultancy/startup setting.
• Experience with serverless architectures and scalable cloud deployments (AWS, GCP, Azure).
• Familiarity with privacy, ethics, and compliance concerns in AI deployments.

Why Join Us?

• Build real, production-grade AI solutions — not just POCs or prototypes.
• Work closely with senior engineers, designers, and product managers who deeply care about craft.
• Opportunity to drive impact directly with customers in 0-1 and 1-n product journeys.
• Learn fast, ship fast, and see your work in the hands of real users.