Python & Java | Generative AI and Agentic AI Initiative
Role Overview
We are seeking an experienced Senior AI Software Engineer to support an enterprise AI initiative from use-case discovery through production implementation. The role combines strong Python and Java engineering with hands-on experience building secure, scalable AI, Generative AI, and agentic solutions. The successful candidate will work onshore with business, product, architecture, data, security, and engineering teams to deliver measurable outcomes in a regulated banking environment.
Key Responsibilities
- Design, build, test, deploy, and support AI-enabled enterprise applications using Python and Java.
- Develop Generative AI solutions, including conversational assistants, retrieval-augmented generation pipelines, enterprise search, summarization, and workflow automation.
- Build agentic capabilities using tool or function calling, orchestration, guardrails, human-in-the-loop controls, and auditable execution flows.
- Integrate large language models, machine learning models, APIs, vector stores, enterprise data sources, and existing applications.
- Develop robust REST APIs and microservices using modern Python and Java frameworks.
- Implement prompt engineering, document chunking, embeddings, retrieval, reranking, grounded response generation, and output validation.
- Create evaluation frameworks for accuracy, groundedness, safety, latency, reliability, and cost; automate regression testing for AI behaviour.
- Implement MLOps and LLMOps practices, including version control, CI/CD, containerization, model and prompt versioning, monitoring, and incident support.
- Apply privacy, security, identity and access management, responsible AI, and model-risk controls appropriate to a regulated environment.
- Partner with stakeholders to clarify use cases, assess feasibility, define acceptance criteria, demonstrate prototypes, and transition solutions into production.
- Perform code reviews, troubleshoot complex issues, document technical decisions, and mentor engineering team members.
Preferred Qualifications
- Experience with Azure AI services, Azure OpenAI, Azure AI Search, or comparable cloud AI platforms.
- Experience with frameworks such as LangChain, Semantic Kernel, LlamaIndex, PyTorch, TensorFlow, or scikit-learn.
- Knowledge of agentic AI patterns, model context protocols, multi-agent orchestration, and enterprise knowledge platforms.
- Experience implementing AI governance, responsible AI controls, privacy safeguards, content safety, and model-risk documentation.
- Financial services or banking domain experience, including familiarity with security, audit, compliance, and data-governance expectations.
- Experience working in Agile delivery environments and using AI-assisted development tools such as GitHub Copilot.
“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”
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