Job DescriptionJob Opportunity: Software Engineer II - Generative AI & LLM PlatformsThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an office.OverviewAre you passionate about cutting-edge technology and eager to contribute to the development of secure and scalable Generative AI products and platforms? We are seeking a Software Engineer II to join our team and help shape the future of AI-driven solutions. In this role, you will collaborate with experienced engineers to design, develop, test, and operate innovative systems leveraging large language models (LLMs), retrieval-augmented generation (RAG), vector databases, cloud technologies, and distributed systems.
If you have a strong foundation in software development, a curious mindset, and a desire to grow your expertise in Generative AI, this is the perfect opportunity for you.
Responsibilities- Design and implement limited enhancements, updates, and programming changes for portions and subsystems of systems software, including operating systems, compilers, networking, utilities, databases, and Internet-related tools.
- Analyze design requirements and determine coding, programming, and integration activities based on specific objectives and established project guidelines.
- Execute and write portions of testing plans, protocols, and documentation for assigned applications; identify and debug issues with code and suggest improvements.
- Collaborate with internal and outsourced development partners to develop reliable, cost-effective, and high-quality solutions for assigned systems or subsystems.
- Participate in project teams, contributing to design discussions, code reviews, and issue resolution.
QualificationsEducation and Experience Required:- Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline.
- Typically 2-4 years of relevant experience.
Knowledge and Skills:- Foundational software development knowledge gained through academic projects, internships, training, open-source contributions, or equivalent hands-on experience.
- Basic proficiency in Python, Golang, or a similar programming language, with an understanding of APIs, testing, debugging, version control, and core software design principles.
- Awareness of Generative AI and large language model concepts such as prompts, tokens, embeddings, context, inference, and common limitations, with an interest in developing deeper expertise.
- Basic understanding of cloud concepts and services, preferably AWS, including compute, storage, identity and access management, monitoring, and deployment fundamentals.
- Foundational networking knowledge, including TCP/IP, routing and switching basics, virtual networks, connectivity, network security, and systematic troubleshooting.
- Understanding of fundamental systems concepts such as scalability, reliability, security, performance, data management, and cost awareness.
- Ability to receive feedback, ask questions, share knowledge, participate constructively in design and code reviews, and collaborate with experienced engineers.
- Curiosity, a learning mindset, and a willingness to experiment with emerging technologies while adhering to established engineering, security, and quality practices.
- Ability to work in an agile team, break work into manageable tasks, build simple prototypes, communicate progress, and incorporate feedback into incremental improvements.
Preferred Qualifications:- Cloud, Platform, and Network Architecture:
- AWS cloud, Kubernetes, infrastructure as code, and CI/CD.
- Amazon Bedrock and AWS AI/ML services.
- Amazon EMR, Apache Spark, and Apache Flink.
- Amazon Aurora PostgreSQL, pgvector, Amazon EKS, and Amazon S3.
- AI/ML Frameworks and Orchestration:
- Hugging Face Transformers and PyTorch.
- LangChain, LangGraph, and LlamaIndex.
- MLOps and LLMOps:
- Experiment tracking, model registries, and version management.
- Security and Compliance:
- Privacy-preserving AI and adversarial testing.
- AI red teaming, content safety, and explainability.
Day-to-Day- Collaborate with team members to design and implement software components for Generative AI platforms.
- Write, test, and debug code to ensure high-quality, scalable, and secure solutions.
- Participate in agile ceremonies, including daily stand-ups, sprint planning, and retrospectives.
- Conduct code reviews and provide constructive feedback to peers.
- Experiment with emerging technologies and contribute to prototypes and proof-of-concept projects.
- Document technical designs, processes, and best practices.
- Support production systems, troubleshoot issues, and implement fixes as needed.
Benefits- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- Professional development opportunities, including training and certifications.
- Access to cutting-edge tools and technologies.
- Collaborative and inclusive work environment.
- Opportunities to work on impactful projects that shape the future of AI.
If you are ready to take the next step in your career and contribute to the development of innovative Generative AI solutions, we encourage you to apply today!
