Lead/Senior AI Software Engineer | Bengaluru, India | Hybrid

Bengaluru, Karnataka, India

Degreed

It's time to rethink learning. Degreed is your upskilling platform partner with end-to-end learning, targeted skill-building, and real-time data.

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At Degreed, we believe that learning is the key to unlocking opportunities. As the premier upskilling platform, we empower individuals to connect their skills and ambitions with meaningful growth opportunities. By integrating everything people use to learn—skill insights, courses, videos, articles, and projects—we create personalized pathways for career advancement. Our mission is to discover, empower, and celebrate the next generation of global expertise. Join us in shaping the future of learning and workforce development.

The Degreed Client Experience (CX) team plays a crucial role in ensuring customer satisfaction and success. The CX teams’ deep knowledge allows them to strategically guide clients, providing tremendous value. The CX team actively participates and assists clients with their learning journeys and transformations. The candidate will be working closely with the CX technical teams to design and maintain client support workflows powered by AI.

This role will be based onsite in Bengaluru, India. After an in-office onboarding period, incumbents are expected to be available in office for a few days per week as part of hybrid work model.  Candidates will also be required to travel internationally 1-2 times annually for full company gatherings.

Day in the Life

  • Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions. 
  • Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs. 
  • Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability. 
  • Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation. 
  • Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies. 
  • Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience. 
  • Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code. 
  • Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform. 
  • Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team. 
  • Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for clients across a variety of sectors. 
  • Influence, educate and directly support the analytics application engineering capabilities of our clients 

Who You Are

We seek outstanding individuals to join our outstanding teams. As a Lead AI Software Engineer you not only want to deliver great products, you also want to collaborate with other great engineers:

  • 3+ years at Senior or Staff level, or equivalent Software Development Experience
  • Experience with Prompt Engineering with Large Language Models (LLMs), indicating the ability to effectively achieve complex use cases
  • Deep knowledge of popular foundational models such as Llama, Mistral, OpenAI GPT, Google Gemini, Anthropic Claude.
  • Experience with LLM frameworks such as Langchain, LlamaIndex, Semantic Kernel
  • Exposure to Agentic framework for LLMs.
  • Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS
  • Experience with server-side technologies such as, Django, Flask, Fast API
  • Experience with Cloud platforms and services (AWS, Azure, GCP) via Terraform Automation (good to have)
  • 1+ years of Python
  • Experience with Git for versioning and collaborating
  • Experience with DevOps, CI/CD, Github Actions 
  • Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes
  • Strong interpersonal and communication skills, including the ability to explain and discuss complex engineering technicalities with colleagues and clients from other disciplines at their level of cognition 
  • Curiosity, proactivity and critical thinking 
  • Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
  • Strong knowledge in designing API interfaces
  • Knowledge of data architecture, database schema design and database scalability
  • Agile development methodologies

 

 

At Degree we value

At Degreed we value
Diversity and Inclusion: We embrace individuals from all backgrounds and aim to build an environment where everyone can thrive.
Growth Mindset: We encourage continuous learning and development for our employees to grow their careers in line with their unique skills and goals.
Collaboration: We believe the best ideas come from teams working together, and we foster open communication and teamwork.

By joining our team, you’ll be part of a community that values continuous learning, collaboration, and making an impact. If you are passionate about driving change through learning and upskilling, we encourage you to apply and become a key contributor to our mission.


Work Environment & Physical Demands

Degreed offers a range of work arrangements depending on the role. Some positions are fully remote, while others are hybrid if you’re near an office. Please check the job details for specifics.

In remote or hybrid roles, you’ll collaborate virtually using tools like Zoom and Slack. You’ll need to operate a laptop and remain stationary for extended periods, with the ability to interpret written and verbal communication.

We are committed to creating an inclusive and flexible work environment that enables you to thrive.


Additional Information 

Degreed provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

We believe in the full inclusion of all qualified individuals. Degreed will provide reasonable accommodations to those with disabilities during the application, interview, and employment process.

In line with the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

Degreed participates in the E-Verify employment verification program.


Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.


Fraudulent Recruitment Warning

Please be aware of fraudulent recruitment activities using the name “Degreed.” Scammers may impersonate Degreed, our website, or our team in recruitment scams. Degreed does not conduct recruitment through WhatsApp, Telegram, or any direct-messaging platforms. Official communication will always come from a Degreed.com email or phone number during the interview process. We do not request sensitive personal or financial information in unsolicited communications, nor do we offer roles requiring upfront payments or promising unrealistic returns. Stay vigilant and report any suspicious recruitment activity.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Angular Anthropic APIs Architecture AWS Azure CI/CD Claude Computer Science Consulting CX Data Analytics DevOps Django Docker Engineering Flask GCP Gemini Git GitHub GPT Kubernetes LangChain LLaMA LLMs Microservices OOP OpenAI Pipelines Privacy Prompt engineering Python React Security Terraform Testing Vue

Perks/benefits: Career development Flex hours Gear Startup environment

Regions: Remote/Anywhere Asia/Pacific
Country: India

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