Role: Full-Stack AI Engineer

Employment Type: Full Time

Work Experience: 5-7 years of industry experience.

Role Description:
At Pixxel, It’s not enough for us to simply deliver satellite images to users. We believe it’s crucial to provide the end users with the necessary tools to effectively work with this imagery and other data, enabling them to derive insights seamlessly on a single platform without any hassle.To achieve this objective, we are building “Aurora” - an all-inclusive platform catering to a wide range of tasks within the remote sensing and geospatial analytics domain.

The Aurora platform will offer a seamless user experience, empowering individuals and organizations to accomplish various tasks. These tasks include requesting satellite imagery for specific regions, importing and analyzing diverse datasets using advanced analytics and machine learning models, and obtaining valuable insights, alerts, and recommendations. Furthermore, the platform will facilitate tracking actions based on recommendations and monitoring their impact.

This role will be focused on building new features and capabilities for experimentation of new visionary ideas with primary objectives:

1. to deliver any custom features quickly to customers during the initial poc/pilot phase so that the core problem of a customer gets solved quickly without worrying about scalability of a solution; and iterate & refine the solution with customers before this needs to be scaled through Aurora platform.

2. to validate new product ideas quickly with customers to ensure there is a recurring demand, willingness to pay, and sufficient market of customers before it needs to be scaled through Aurora platform.

Responsibilities

As a Full-Stack AI Engineer within the Product Management team, you will:

• Own end to end development of new capabilities from scratch - right from inception of idea to rapid prototyping to a stable solution in the hands of customers to a scalable solution as a platform with a huge focus on speed, experimentation, utmost quality, user experience and solving real customer problems.

• Ship features within days or 1-2 weeks, not quarters or months.

• Implementing what users ask for—and iterating fast.

• Design, fine-tuning, and deployment of geospatial deep learning models.

• Build and deploy GenAI-powered assistants for semantic satellite data querying.

• Own all ML development: preprocessing, embeddings, training, inference, and MLOps pipelines for foundational models, deep learning and machine learning models

• Drive Generative AIOps: using GenAI to manage, test, and orchestrate ML workflows

• Integrate Pixxel’s proprietary foundation models (eg: model based on DINOv3) with downstream use cases like crop stress detection, change monitoring, and spectral search.

• Host and maintain available geospatial open source models and also retrain and tune them according to our customer use cases

• Owning everything end-to-end: frontend, backend, infra, database, and cloud deployment.

• Customer-facing geospatial workflows: satellite imagery pipelines, map-based tools, and search/filter features.

In this role, you will work in a team with Product Managers, 1 Product Designer and 1 Full Stack Developer. This role is ideal for someone who has worked in startups (<20 people in total) or dreams of starting one in the future. We’re hiring a Full Stack Developer who thrives on speed, user impact, and full ownership.

What You’ll Build

• Build capabilities like AI based search, orchestration, AI based workflow creation

• Agent marketplace and agent management platform

• Geospatial vision models: segmentation, classification, anomaly detection.

• RAG pipelines using LangChain, LlamaIndex, Pinecone, Weaviate.

• LLM-based assistants.

• MLOps workflows for model tracking, deployment, A/B testing.

• Model fine-tuning pipelines using customer-provided ground truth.

• Embedding-based semantic tools: similarity search, spectral clustering, and temporal monitoring.

Required Experience & Skills

• 5-7 years of total work experience

• Location: Indiranagar, Bangalore [Work from Office]

• Full ownership experience from model development to hosting to making it available via a user interface.

• 5+ years of full-stack AI development experience with production systems - preferably in B2B SaaS

• Deep expertise in Generative AI, Deep Learning, and Machine Learning.

• Experience building RAG systems and fine-tuning LLMs.

• Understanding of generative AIOps practices: prompt tuning, automated testing, model orchestration.

• Proven track record with MLOps tooling: MLflow, Weights & Biases, SageMaker, Vertex AI.

• Hands-on experience with geospatial foundation models (e.g., DINOv3) and satellite vision tasks.

• Python, PyTorch or TensorFlow, Hugging Face Transformers.

• Familiarity with hyperspectral and multispectral data: Rasterio, Xarray, TorchGeo.

• Prior experience in GIS or earth observation domains is strongly preferred.

• Frontend UIs using React/TypeScript + modern frontend frameworks.

What Makes You a Fit

• You deliver models in days—not months.

• You balance engineering pragmatism with state-of-the-art research knowledge.

• You see ML not as experimentation, but as a means to create real-world impact.

• You’re collaborative, and comfortable working across the full ML stack

Nice-to-Have

• Prior contributions to foundation models (Prithvi, DINOv2/v3, SatMAE, etc).

• Experience integrating GenAI tools into analytical workflows.

• Familiar with hyperspectral fusion (HSI + SAR + weather + soil).

• Familiarity with on-prem or edge model deployment.

• Domain familiarity in agriculture, forestry, or climate science.

Candidate Acumen:
A strong desire to work in an unstructured, high-growth, fast-paced start-up environment

Benefits:
Health insurance coverage
Unlimited leaves & flexible working hours
Role-based remote work and work-from-home benefit
Relocation assistance
Professional Mental Wellness services
Creche facility for primary caregivers (limited to India)
Employee Stock Options for all hires

About Pixxel

Pixxel is a space data company and spacecraft manufacturer redefining Earth observation with hyperspectral imaging. The company’s first three commercial hyperspectral satellites—Fireflies—deliver imagery at 5-meter resolution and 135+ spectral bands, providing 50x richer detail than traditional Earth observation systems and unlocking insights across agriculture, climate, energy, environment, and more.

Once fully deployed, Pixxel’s constellation of 18-24 satellites will capture imagery across up to 250 bands in VNIR and SWIR ranges, with a 40 km swath and daily global revisit capability. Pixxel’s most unique strength is its full-stack approach, integrating every layer of the value chain from satellite hardware and manufacturing to AI-powered analytics.

Pixxel’s satellite constellation is complemented by Aurora, its in-house Earth Observation Studio that simplifies satellite imagery analysis and democratises remote sensing for all. Designed to make hyperspectral data more accessible, Aurora by Pixxel combines high-frequency imagery with AI-powered tools to generate actionable insights, even for users without technical backgrounds. The third pillar of Pixxel’s ecosystem is its in-house satellite manufacturing capability. Beyond building its own spacecraft, Pixxel also provides satellite systems and subsystems to other organisations. This dual capacity sets it apart in a sector where most companies focus on either payload design or data operations, but not both.

Pixxel’s team is young but deeply mission-aligned, with a culture rooted in curiosity, speed, and long-term thinking. As the company grows its constellation and expands Aurora, the focus remains on making space-based insights practical, scalable, and genuinely helpful so that the health of the planet becomes measurable and action becomes possible.

Pixxel was the only Indian startup selected for the Techstars Starburst Space Accelerator in Los Angeles and has been recognised in TIME’s Best Inventions of 2023, Fast Company’s Most Innovative Companies, and Via Satellite’s Top Innovators list.

For more information, see ourCareers page or follow Pixxel onLinkedIn andX/Twitter.

Culture

Pixxel is an organisation where we enable our employees to work on world-changing problems that they are passionate about, and a place where they can be their best selves day in and day out while ensuring they have fun every day.

Central to our employee-first ethos is a commitment to ensuring that every team member feels valued and heard. We nurture a healthy and supportive work environment where we prioritise well-being and growth in all aspects of life

Link to Pixxel in Media