Job Description:
Objectives and Responsibilities:
The AI assisted software engineer serves as developer for various business requirements and the primary operator of AI coding agents, turning business requirements and technical guidance into high-quality, production-ready code outputs through design documents and source code review as well as involvement in overall solution development process.
1.The AI Assisted Software Engineer plays a core execution and development role where he drives AI-assisted coding tasks, ensuring proper implementation of features, refactoring, and testing aligned with business objectives.
2.The role ensures that the team adopts best-in-class AI assisted coding techniques and coding workflows as well as leading the rollout of code base management, code review and test automation practices.
3.The role ensures that the team is constantly building effective working relationships and delivering AI-generated solutions that drive the business objectives.
4.The role also provides technical support and knowledge transfer to other team members while simultaneously guaranteeing code quality, testing coverage, and compliance.
5.The role will also play a hands-on engineering role researching, designing, implementing, and deploying AI-augmented code solutions to address various business requirements.
6.The AI assisted software engineer is also tasked with modeling complex code transformations, discovering optimization opportunities, and identifying improvements through the use of algorithmic, AI agent, and debugging techniques.
7.The role also plays a strategic role where he is tasked with formulating new and creative ideas for leveraging AI tools to accelerate legacy code refactoring and establish accurate and scalable development systems across varied applications.
Required Qualifications:
1.The AI Assisted Software Engineer must have a bachelor’s degree or above in Computer Science, Software Engineering, or any other related technical field. An equivalent of the same in working experience is also acceptable for the position.
2.A candidate for this position must have had at least 3 years of working experience in a software engineering (experience in Java, Node.js/TypeScript, Python and mainstream development framework, as well as database systems – MySQL, HBase and MongoDB etc.) or coding capacity within a fast-paced and complex business setting.
3.The candidate will also have hands-on experience working with AI coding agents and tools such as Cursor, Claude Code, or similar generative AI development platforms.
4.The candidate must also have had substantial experience in full-life cycle software development as well as experience working with modern programming languages and frameworks.
5.A suitable candidate for this position will also have had experience in code refactoring, multi-file changes, and automated testing inclusive of legacy system migration projects.
6.The candidate will also have had experience working with large codebases as well as experience cleaning, organizing, and documenting technical code environments.
7.Experience working with GPT, RAG, and other Gen AI tech related to software engineering would be much preferred.
8.Communication skills are an absolute necessity both in written and verbal form, especially when collaborating on AI assisted engineering and code review.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
- At least 3 years software engineering experience with Java, Node.js/TypeScript, Python and mainstream frameworks
- Experience with database systems such as MySQL, HBase, and MongoDB
- Hands-on experience with AI coding agents/tools (e.g., Cursor, Claude Code) or similar generative AI development platforms
- Substantial full life-cycle software development experience and working with modern programming languages and frameworks
- Experience in code refactoring, multi-file changes, automated testing, and legacy system migration
- Experience working with large codebases, cleaning, organizing, and documenting code environments
- Experience with GPT, RAG, or other generative AI technologies applied to software engineering
- Strong written and verbal communication skills for collaboration and code review
Mars Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mars and has not been reviewed or approved by Mars.
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Healthcare Strength — The benefits package is positioned as comprehensive, with broad medical coverage and additional protections like life insurance and short- and long-term disability. Mental health support is emphasized, including free mental health services and wellbeing programming under initiatives such as Mars Be Well.
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Parental & Family Support — Paid parental leave is highlighted as market-leading in the U.S., with an example of 18 weeks fully paid for both parents. Additional family-related leave types such as sick time for caregiving and bereavement leave are also described as part of the overall package.
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Retirement Support — Retirement offerings are described as strong, including 401(k) matching (with a 6% match cited) and pension plans in some cases. The broader package also references retirement savings options and contributions aligned to local market practice, supporting long-term financial security.
Mars Insights
What We Do
For more than a century, Mars, Incorporated has been driven by the belief that the world we want tomorrow starts with how we do business today. This idea is at the center of who we have always been as a global, family-owned business. Today, Mars is transforming, innovating and evolving in ways that affirm our commitment to making a positive impact on the world around us. Across our diverse and expanding portfolio of confectionery, food, and petcare products and services, we employ 133,000 dedicated Associates who are all moving in the same direction: forward. With $40 billion in annual sales, we produce some of the world’s best-loved brands including DOVE®, EXTRA®, M&M’s®, MILKY WAY®, SNICKERS®, TWIX®, ORBIT®, PEDIGREE®, ROYAL CANIN®, SKITTLES®, WHISKAS®, COCOAVIA®, and 5™; and take care of half of the world’s pets through our pet health services AniCura, Banfield Pet Hospitals™, BluePearl®, Linnaeus, Pet Partners™, and VCA™. We know we can only be truly successful if our partners and the communities in which we operate prosper as well. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our Associates to take action every day to help create a world tomorrow in which the planet, its people and pets can thrive.
