23 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and implement GenAI architecture, including LLM agent orchestration, RAG pipelines, prompt-engineering frameworks, and model fine-tuning workflows.
- Lead hands-on development of GenAI solutions from concept through production using Python, LangChain, embeddings, vector stores, and LLMs.
- Drive cross-team architectural alignment and adoption of AI for high-value enterprise use cases.
- Mentor engineers, conduct code reviews, support pair programming, and lead micro-teams or pods.
- Establish coding, testing, documentation, security, reliability, monitoring, observability, and error-handling practices.
- Lead Agile/Scrum ceremonies, manage work through Jira, optimize deployments through CI/CD, and remove execution blockers.
- Identify, prototype, and deliver AI-driven product features and internal workflow improvements.
- Partner with governance, legal, and security teams to apply privacy, fairness, safety, security, and responsible AI standards.
- Evaluate emerging LLMs, vector database technologies, open-source frameworks, and cloud AI capabilities and communicate innovations to engineering and leadership.
Requirements
- At least 5 years of relevant experience with a Bachelor’s degree, at least 2 years with an advanced degree, 0 years with a PhD, or at least 8 years of relevant experience.
- At least 7 years of software development experience, including substantial hands-on AI/ML or GenAI work and preferably 2–3 years building LLM applications.
- Prior experience as a technical lead or senior engineer, with demonstrated ability to guide teams through complex and ambiguous projects.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience; a Master’s or PhD in AI/ML is a plus.
- Deep knowledge of LLMs, generative AI, prompt engineering, fine-tuning, embeddings, RAG, LLM agents, agent workflows, and NLP services.
- Advanced Python proficiency and familiarity with Java or other object-oriented languages.
- Experience with LangChain, CrewAI, or OpenAI-compatible APIs and production-quality data structures and algorithms.
- Hands-on experience with Azure, AWS, or GCP and deploying AI solutions at scale.
- Required experience with vector databases or similar technologies for embedding storage and semantic search.
- Knowledge of containerization and microservices architectures.
- Experience with Scrum teams, Jira, Jenkins or comparable CI/CD pipelines, Git-based workflows, test-driven development, continuous integration, and continuous delivery.
- Strong leadership, communication, mentoring, stakeholder-influence, problem-solving, and strategic planning skills.
Benefits
- Hybrid work arrangement requiring at least three days in the office, with specific in-office expectations confirmed by the Hiring Manager.
Categories
About Visa
Visa builds and operates a global digital payments network that connects consumers, merchants, financial institutions, and governments. It earns fees for processing card transactions and offering risk, data, and value‑added services through VisaNet and products like tokenization and tap‑to‑pay. Founded in 1958 and headquartered in Foster City, California, Visa is a public company (NYSE: V) serving clients in more than 200 countries and territories.