Careers at AQPL
Build India's next generation of energy intelligence.
Deep scientific problems. Serious engineering. Global ambition. Join an India-based team creating energy software built to scale worldwide.
Why join AQPL
Own meaningful problems. Build technology that matters.
01 / SCIENCE
Purposeful complexity
Work where physics, geoscience, engineering and intelligent computing meet.
02 / OWNERSHIP
Real responsibility
High-impact work, direct collaboration and a culture of execution.
03 / SCALE
Built in India, for the world
Help create exportable deep-tech capability for the global energy industry.
Open positions
Explore current opportunities.
All three opportunities are full-time and remote-first within India, with occasional travel as appropriate. Applications are reviewed directly by the AQPL team.
Brand & Operations Coordinator
India remote-first | Full-time | 2–5 years | Occasional travel as relevant
Make the everyday work of a deep-tech company exceptional.
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Bring brand execution, digital communications and business operations together in one high-ownership role.
What you will do
- Design posts, presentations, one-pagers and website graphics within the AQPL identity.
- Plan and publish B2B social content, monitor engagement and maintain website content and job listings.
- Coordinate shared email, vendor communication, invoices, payment follow-ups and basic bookkeeping support.
- Build simple AI-assisted automations for scheduling, reporting and inbox triage.
- Arrange meetings, international travel and documents with care and discretion.
What we look for
- 2–5 years in startup operations, executive coordination, digital marketing or a similar role.
- Strong English writing and confidence with Canva or Figma and LinkedIn.
- Working familiarity with office productivity software and AI/automation tools.
- Strong organisation, confidentiality and independence in remote work.
Helpful experience
- Basic HTML or website CMS editing, Zoho Books or Tally.
- B2B energy or technology exposure; Hindi communication skills.
Application: send your CV, plus two design or digital work examples to business@aqpl.tech.
Apply by email ↗Senior Geoscientist: AI & Reservoir Characterisation
India remote-first | Full-time | 10+ years | Occasional travel as relevant
Lead integrated subsurface studies for complex field development.
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Combine geological interpretation, quantitative geophysics, geocellular modelling and AI/ML to turn uncertain subsurface evidence into development-ready decisions.
What you will do
- Lead complex structural and stratigraphic interpretation, rock physics, seismic inversion, petrophysical integration and facies/property prediction.
- Build, QC and integrate 3D geocellular models, including structural frameworks, layering, facies, petrophysical properties and uncertainty ensembles.
- Integrate well logs, core, geostatistics, reservoir architecture, fluid contacts and seismic constraints with dynamic field-development needs.
- Apply and critically evaluate AI/ML methods for seismic interpretation, reservoir characterisation and uncertainty-aware modelling.
- Present and defend technical findings to customers, support studies, product validation, demonstrations and technical publications.
What we look for
- 10+ years in reservoir characterisation, quantitative interpretation or integrated field development.
- Strong hands-on geology, geophysics, petrophysics, rock physics and geocellular earth-modelling knowledge.
- Experience with Petrel, RokDoc, HampsonRussell, Jason, Techlog or similar platforms.
- Python or equivalent analytical skills and genuine experience evaluating AI/ML output.
- Clear technical writing and authority-facing communication.
Helpful experience
- Complex clastic or carbonate reservoirs, structural uncertainty and deepwater field development.
- CCUS or geothermal; geostatistics; MSc/PhD and conference publications.
Application: send your CV, plus one non-confidential technical writing sample to business@aqpl.tech.
Apply by email ↗Reservoir Engineer: AI & Field Development
India remote-first | Full-time | 7+ years | Occasional travel as relevant
Connect reservoir physics, dynamic simulation and data-driven decisions.
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Help shape integrated field development, reservoir management and production intelligence with physics-based engineering and carefully validated AI workflows.
What you will do
- Deliver material-balance, pressure transient, decline, dynamic simulation and reservoir performance studies as applicable.
- Support numerical reservoir simulation, history matching, uncertainty ensembles, forecast scenarios and reserves-related technical inputs.
- Integrate static earth models with production history, PVT, well tests, pressure and injection data for development decisions.
- Evaluate drainage, recovery mechanisms, infill opportunities, injection support and production-enhancement options.
- Develop and test AI/ML-assisted forecasts, anomaly detection and surrogate-model approaches with physical and engineering validation.
- Support technical client engagement, software requirements and workflows for CCUS or geothermal when relevant.
What we look for
- 7+ years of reservoir engineering, integrated field development or reservoir management experience.
- Familiarity with ECLIPSE, INTERSECT, CMG, tNavigator, MBAL, PROSPER or comparable tools.
- Strong reservoir simulation, fluid-flow physics and uncertainty analysis skills.
- Ability to work with geoscientists, production engineers and AI/software teams.
- Programming or data analytics literacy, ideally Python.
Helpful experience
- Full-field development studies, advanced EOR, reservoir surveillance or optimization.
- CO₂ storage simulation or geothermal reservoir modelling.
Application: send your CV to business@aqpl.tech.
Apply by email ↗AQPL is an equal-opportunity employer. Please do not include confidential client data or proprietary technical materials in application samples.