Software Engineer (AI + Python + RAG)

Job Title - Software Engineer 

Location - Remote India 

About Us

Acquia is seeking a Software Engineer to join our AI Services team focused on building Application and APIs around AI which can be leveraged by other teams and Acquia Product to enhance the value of the overall digital experience platform (DXP). We thrive on innovation, collaboration, and an agile mindset and processes. An ability to quickly prototype, learn, and iterate on concepts is critical for this role.

The AI Services team is part of Foundation Services group and builds product offerings on top of Foundation Infrastructure services.

Key Responsibilities

• Work with the Engineering Team to understand and refine product requirements.
• Participate in RFC reviews - ask questions and provide feedback proactively. 
• Contribute in coding, PR reviews, documentation, and automated tests that deliver on Sprint goals.
• Ensure compliance requirements, CICD, coding, operations, security best practices are followed.
• Participate in experimentation and prototype building in a collaborative environment, iterating on concepts based on feedback
• Contribute as needed to the core architectural platform and libraries used by all teams in the interest of the stability, robustness, cost effectiveness, and performance of consuming applications and services.
• Encourage a culture of observability by ensuring logging and monitoring of applications and services is being configured appropriately to provide visibility into system performance consistent with SLIs/SLOs/SLAs and enable effective troubleshooting
• Address security vulnerabilities as needed
• Work with your team to understand and implement R&D Standards.
• Participate in team meetings, pair programming, lunch 'n learns, etc. as needed.
• Collaborate with the architecture team to ensure the platform we are building is consistent with the overarching architectural goals at Acquia
• Ensure software systems comply with contractual RTO and RPO requirements

Preferred Qualifications

You will be successful if you:

• Are a continuous learner who is able learn through online trainings, books and podcasts as the AI landscape is rapidly evolving
• Are comfortable with ambiguity and working in a fast-paced environment 
• Balance critical thinking with creative problem-solving 
• Make informed decisions, balancing quantitative and qualitative reasoning
• Have the ability to drive desired customer outcomes by learning and understanding the problems being solved.

Requirements

• 3+ years of relevant experience
• Experience working with Python, Java and SQL
• Experience working with artificial intelligence 
• Experience writing and consuming REST APIs
• Experience with Git

Experience working with any cloud platform AWS/ Azure/ GCP

• Experience working with CI/CD tools (i.e. Jenkins)
• Experience writing automated tests
• Ability to learn and adapt to new technologies quickly and become productive in their use
• Working knowledge of software design principles and programming languages and frameworks in use
• Strong knowledge of software development security principles, concepts and best practices

• Strong understanding of software architecture and the tradeoffs between different architectural patterns
  

Nice to have…

• Experience working with Snowflake
• Experience managing applications in a kubernetes environment
• Experience writing SaaS applications in a distributed microservice ecosystem
• Experience working with Elasticsearch or other NoSQL data stores
• Experience with PHP and Drupal
• Experience working with Gradle 
• Nice to have experience in RAG (Retrieval-Augmented Generation)

Personal Attributes

• Excellent communication skills and the ability to work collaboratively in a team environment.
• Strong attention to detail and a commitment to quality.
• Ability to manage multiple tasks efficiently and quickly adapt to new technologies.
• A passion for continuous learning and personal growth, especially through online training, books, and podcasts, to keep pace with the rapidly evolving AI landscape.
• Comfortable with ambiguity and capable of thriving in a fast-paced environment.
• Balance critical thinking with creative problem-solving and make informed decisions using both quantitative and qualitative reasoning.