senior Python developer -Gen AI

What you'll do in the role:
Below is a sample of potential responsibilities depending on product / focus area

• Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes, Python, authentication solutions, APIs, REST framework, etc
• Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
• Leverage Kubernetes to develop modern containerized workloads
• Integrate with capabilities such as large-scale vector stores for embeddings.
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.
• Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
• Participate in all team's Agile/ Scrum ceremonies.

What you'll bring to the role:

• Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
• 10+ years of overall experience in software engineering, design and development

• 5+ years of hands-on experience building and maintaining production Python applications or libraries, using idiomatic Python, type annotations, automated testing, and static analysis
• Prior production development experience in a statically typed language, such as Java or C#, with an understanding of explicit contracts, type safety, and maintainable software design.
• Experience designing and maintaining modular, readable, well-tested production code, with clear interfaces, appropriate abstractions, consistent coding standards, and effective dependency management.
• Understanding of dependency injection and inversion of control, with experience using DI containers or equivalent dependency-management approaches.
• Strong understanding of data structures and software design principles, with the ability to apply appropriate patterns without unnecessary complexity.
• Experience with test-driven development (TDD), automated unit and integration testing, and designing code that can be tested independently of external services.
• Experience participating in design reviews and code reviews, with a focus on maintainability, testability, and long-term ownership.
• Experience with designing APIs and SDKs

• Experience in development, management, and deployment of Kubernetes workloads.
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language
• Ability to articulate technical concepts effectively to diverse audiences.
• Excellent communication skills.
• Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
• Knowledge of DevOps and Agile practices.

Nice to have

• Experience deploying applications on Azure, AWS, and/or Google Cloud Platform using IaC (Terraform)
• Understanding of OAuth 2.0 protocol for secure authorization.
• Experience with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
• Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
• Good understanding of modern Application configuration techniques.
• Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
• Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain, Lang Graph, Microsoft Agent Framework.
• Experience working with Generative AI development, embeddings.
• Understanding of SRE techniques.