Relyance AI's Posts (95)

2025-06-17

Senior Software Engineer, Static Code Analysis

As Relyance AI’s Senior Software Engineer, Static Code Analysis, you will architect and implement the services and platform that powers the program analysis component of our product. This role requires you to think critically and design from first principles. You should be comfortable with multiple moving parts, micro-services architecture, de-coupled services, and multi-threaded programming. Given you are constructing the foundation on which our program analysis system will be built, and maintain a forward-thinking outlook as well as scrappiness for the present needs. You are very comfortable learning new technologies and systems. You thrive in an iterative but heavily test-driven development environment. Bonus points for: Working at Relyance AI: At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $155,000 to $175,000. - Designing and implementing a high-performance static code analysis service. - Working with Data Scientists/ML engineers to improve precision, robustness, and scalability of traditional static analysis algorithms using ML techniques. - Experimenting, prototyping, measuring, and making data-driven technology stack decisions. - Architecting and implementing microservices-based systems for distributed computing environments. - Leveraging strong CS fundamentals, data structures, and algorithms to solve complex engineering challenges. - Experience building compilers or static code analysis tooling. - Strong software engineering experience and a firm grasp of CS fundamentals, data structures, and algorithms. - Experience building distributed/scalable backend infrastructure with a micro-services first design. - A high standard for production system quality. - Ability to demonstrate and incrementally build 100% confidence in all the layers/components you develop. - A deep sense of appreciation for the test-driven development methodology. - A self-directed environment with full ownership to design features end-to-end from scratch and the accountability that comes along. - Experience working on security vulnerability detection - Startup Experience - An advanced technical degree

Location: San Francisco (hybrid/remote)

Salary range: None - None

2025-06-17

Senior Software Engineer- ML/NLP

As Relyance AI’s ML/NLP Engineer, you will strategize, drive, and execute on the initiatives in NLP for information extraction from legal documents, ML/NLP for information extraction from code and general ML in code analysis, as well as overall AI backend initiatives. You will partner with cross-functional stakeholders to design and build flexible, powerful, and robust features that scale the impact of AI for our customers. You will work with Large Language Models like GPT-4 and LLaMA 2, as well as models of the scale of T5 or BERT. You will create novel model architectures and ML/NLP techniques, build data curation and model training workflows, and perform error analysis to drive feature development. As a senior engineer, you will be a core member of the team building a system with complex data and nature of predictions that rapidly evolve over time. You will need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy to address present needs. As a Senior ML/NLP Software Engineer, your role will include: This role could be a fit for you if you bring: Bonus points for: Working at Relyance AI At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. - Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, you will generate data-driven insights on how to evolve capabilities of Relyance AI - Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.; or the Relyance backend - Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to incorporate state of the art NLP and ML techniques; continuously look for opportunities to automate and build tools to lower operational barriers - Being a key member of the team solving its most complex problems with the simple, pragmatic solutions - 7+ years of experience with a track record of being a key member of teams building ML and NLP solutions; or a PhD in relevant field preferably with industry experience - Expert level proficiency in languages like Python, Java, C#, C++, Scala, etc. - Strong data structures, algorithms, and OO software design and implementation skills - Ability to learn and operate across full stack, from ML and NLP systems, to cloud infrastructure, to AI backend - Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible solutions - A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment - A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems - Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers - Experience with Information Extraction, Semantic Parsing, practical application of LLMs - Experience with a privacy technology - Startup experience - An advanced technical degree

Location: India, Karnataka-Bengaluru(Remote)

Salary range: None - None

2025-06-17

Senior Software Engineer - AI Backend

As Relyance AI’sSenior Software Engineer, AI Backend, you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: This role could be a fit for you if you bring: Bonus points for: - Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side - Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams - Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers - Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions - Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. - 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data - Expert level proficiency in Python - Strong data structures, algorithms, and OO software design and implementation skills - Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend - Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems - A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment - A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems - Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers - Experience with ML and NLP in particular - Experience with a privacy technology - Startup Experience - An advanced technical degree

Location: India, Karnataka-Bengaluru(Remote)

Salary range: None - None

2025-06-17

Senior Software Engineer - AI Backend

As Relyance AI’sSenior Software Engineer, AI Backend, you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: This role could be a fit for you if you bring: Bonus points for: - Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side - Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams - Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers - Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions - Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. - 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data - Expert level proficiency in Python - Strong data structures, algorithms, and OO software design and implementation skills - Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend - Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems - A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment - A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems - Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers - Experience with ML and NLP in particular - Experience with a privacy technology - Startup Experience - An advanced technical degree

Location: India, Karnataka-Bengaluru(Remote)

Salary range: None - None

2025-06-17

Senior Software Engineer - AI Backend

As Relyance AI’sSenior Software Engineer, AI Backend, you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: This role could be a fit for you if you bring: Bonus points for: - Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side - Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams - Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers - Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions - Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. - 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data - Expert level proficiency in Python - Strong data structures, algorithms, and OO software design and implementation skills - Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend - Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems - A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment - A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems - Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers - Experience with ML and NLP in particular - Experience with a privacy technology - Startup Experience - An advanced technical degree

Location: India, Karnataka-Bengaluru(Remote)

Salary range: None - None

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