Decision Intelligence company providing Aera Decision Cloud™ platform that integrates with existing systems to digitize, augment, and automate decisions in real time.

Aera Technology, a Decision Intelligence company headquartered in Mountain View, California, is seeking a Machine Learning Engineer with expertise in Large Language Models (LLMs) and Agentic AI to join their Pune team. This role is crucial in designing and implementing cutting-edge ML features that power data science at scale and enable autonomous, intelligent decision-making for enterprise clients.

The position requires a blend of technical expertise in machine learning, software engineering, and distributed systems. The ideal candidate will have 3-5 years of experience in software engineering and at least 2 years of experience with ML/LLM systems. They should be proficient in Python and familiar with modern ML frameworks and tools like FastAPI, LangChain, PyTorch, and Hugging Face.

As part of a growing series D startup with offices worldwide, including Mountain View, San Francisco, Bucharest, Paris, Munich, London, Pune, and Sydney, you'll have the opportunity to work on transformative technology. The company's Aera Decision Cloud™ platform has delivered millions of recommendations resulting in significant revenue gains for world-renowned brands.

The role offers comprehensive benefits including medical insurance, stock options, professional development opportunities, and a flexible work environment. You'll be part of a team pushing the boundaries of AI technology, working on autonomous agents, retrieval-augmented generation, and LLM-based reasoning systems. This is an excellent opportunity for someone passionate about building intelligent, efficient systems that drive enterprise decision-making into the future.

Machine Learning Engineer position specializing in Agentic AI and LLM at Aera Technology, focusing on implementing cutting-edge ML features and autonomous decision-making systems.

Machine Learning Engineer – Agentic AI & LLM Specialization

Decision Intelligence company delivering the Aera Decision Cloud™ platform that integrates with existing systems to digitize, augment, and automate decisions in real time.

Aera Technology, a Decision Intelligence company headquartered in Mountain View, California, is seeking a Lead Application Security Engineer to join their team. This role combines software development expertise with security specialization, focusing on building and maintaining robust application security programs.

The position requires leading the implementation of security measures to prevent OWASP Top 10 attacks, developing secure development practices, and managing penetration testing initiatives. You'll be responsible for integrating security tools into CI/CD pipelines, conducting threat modeling, and working closely with development and infrastructure teams to ensure security best practices are followed.

As an ideal candidate, you'll bring 5+ years of software development experience, combined with specialized security expertise including 3+ years in penetration testing and 4+ years working with security tools like SCA, SAST, and DAST. Your technical knowledge should span cloud environments, containerization, and infrastructure as code, while maintaining strong communication skills to effectively collaborate with development teams.

The role offers an opportunity to work with a growing company that's making significant impacts in decision intelligence, serving some of the world's best-known brands. You'll be part of a global team with offices across multiple countries, enjoying competitive benefits including medical insurance, equity options, and professional development opportunities. The hybrid work environment allows for flexibility while maintaining collaborative opportunities with the team.

Lead Application Security Engineer position at Aera Technology, requiring 5+ years of development experience and security expertise, offering competitive benefits and hybrid work arrangement.

Lead Application Security Engineer

Aera Technology, a Decision Intelligence company founded in 2017, is seeking a Senior Software Engineer I specializing in Python to join their R&D Engineering team. The role focuses on developing key components within the Aera Platform, specifically building and maintaining functionality for smooth, secure, and automated deployments between environments.

The position offers an exciting opportunity to work with Aera's Decision Cloud™ platform, which helps enterprises transform their decision-making processes through digitization, augmentation, and automation. As a Series D startup headquartered in Mountain View, California, with offices across multiple global locations, Aera has demonstrated significant impact by delivering millions of recommendations resulting in substantial revenue gains for renowned brands.

The ideal candidate should bring 5-7 years of backend Python development experience, with strong expertise in Python frameworks, data structures, algorithms, and modern development practices. You'll be working on building scalable APIs, maintaining CI/CD pipelines, and contributing to the overall development lifecycle. The role requires proficiency in cloud platforms (AWS/Azure/GCP), containerization technologies, and database systems.

What makes this role particularly attractive is Aera's commitment to building a sustainable, intelligent, and efficient world, combined with their comprehensive benefits package. The company offers a flexible work environment, competitive compensation including equity, extensive healthcare coverage, and strong emphasis on professional development. Working at Aera means joining a diverse, global team that's pushing the boundaries of decision intelligence technology.

Senior Python Software Engineer role at Aera Technology, focusing on backend development and deployment automation for the Decision Intelligence platform.

Senior Software Engineer I (Python)

Pioneer in Decision Intelligence, providing AI decision automation platform Aera Decision Cloud™ to help brands make smarter decisions.

Aera Technology, a pioneering Decision Intelligence company, is seeking a Lead Security Operations Engineer to join their growing team of over 400 Aeranauts. This role combines technical expertise with team leadership in protecting Aera's assets and customer data through advanced security operations.

The position requires deep expertise in cloud security, particularly in AWS and Azure environments, with a focus on identity management, access management, and network security. The ideal candidate will have extensive experience in security operations, including 24/7 monitoring and incident response, along with a proven track record of building and automating enterprise-scale infrastructure.

As a Lead Security Operations Engineer, you'll be responsible for designing and implementing critical security tools, leading incident response teams, and developing security training programs across global offices. The role involves working with cross-functional teams and requires both technical proficiency and leadership skills.

The company offers an attractive benefits package including stock options, medical coverage, and a flexible hybrid work environment. With offices across multiple continents and a series D funding status, Aera Technology provides an opportunity to work on cutting-edge Decision Intelligence technology that helps major brands make smarter, faster decisions.

This role is perfect for security professionals who want to make a significant impact in a growing company while working with advanced AI and machine learning technologies. The position offers the chance to shape security practices and lead initiatives that protect both company and customer assets in a dynamic, global environment.

Lead Security Operations Engineer position at Aera Technology, focusing on cloud security, incident response, and security operations leadership in a global AI-driven company.

Aera Technology Engineering Jobs

Decision Intelligence company providing Aera Decision Cloud™ platform that integrates with existing systems to digitize, augment, and automate decisions in real time.