Experience Senior · 6+ yrs (5+ years)
About the role
structured by ORIWe’re seeking a full-stack software engineer with a strong engineering mindset and a builder’s approach to problem-solving. If you love developing AI-powered platforms that run at enterprise scale, this is the kind of work you’ll thrive in.
What you will do
- Build and own end-to-end, full-stack features (UI, APIs, services, data layers) for AI-enabled products used at scale.
- Design and implement knowledge library + retrieval (RAG) capabilities, including embedding generation , indexing strategies, and semantic search pipelines.
- Develop AI content and document-generation solutions , with guardrails and auditability appropriate for regulated workflows.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated tes
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
What they are looking for
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Strong full-stack engineering fundamentals and a “build it right” mindset (clean APIs, robust services, thoughtful UX).
- Experience building production systems : CI/CD, monitoring/alerting, incident hygiene, performance tuning, and scalability.
- Familiarity with search and retrieval systems (semantic search, vector stores, indexing, ranking, query pipelines) and how they integrate into applications.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, perform
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Comfort working with LLM-based systems (prompting patterns, structured outputs, evaluation, and guardrails) in real-world environments.
- A high learning mindset —curious, adaptable, and motivated to apply modern best practices thoughtfully rather than chasing hype.
- Ability to collaborate across engineering, product, and risk/compliance partners to deliver safely and responsibly.
Nice to have
- Knowledge of generative AI concepts., prompt engineering, RAG, embeddings, and vector search, LangChain
- Knowledge of model evaluation, guardrails, hallucination reduction
- Experience with Python, Java(spring boot),Open AI, Database(vector/pinecone), AWS
- Knowledge on open source community contribution/start up experience is plus
- Self motivation and Passion is the key driver
Software EngineeringFull-StackGenerative AIRAGEmbeddingsVector SearchPrompt EngineeringModel EvaluationPythonJavaSpring BootOpenAIPineconeAWSLangChain
Full posting text
We’re seeking a full-stack software engineer with a strong engineering mindset and a builder’s approach to problem-solving. If you love developing AI-powered platforms that run at enterprise scale, this is the kind of work you’ll thrive in.
TechnologySoftware Engineering