About the Role

We are looking for Agentic AI +Java Fullstack Developer.

Location- Pune

Experience- 8Yrs to 20Yrs

Work Mode- 5 Days office

Mandatory Skills

- Java Fullstack + AI/ML Algorithms + AI Agentic Solutions + Building Agentic + Deployment / Implementation + Banking and Financial Experience

Key Responsibilities

- Work closely with customers and stakeholders to understand business goals, strategy, pain points, opportunities
- Map processes and workflow, define success metrics and KPIs
- Assess current state & technology landscape, priorities use cases, estimate ROI,
- Design technology solutions, AI/Agent workflows, integrations, data requirements, security and risk requirements
- Build AI agents, copilots, applications, APIs, services, integration with enterprise systems, RAG, orchestration
- Design, generate and validate AI-generated code and engineering artifacts, and drive deployment of enterprise-grade applications, integrations, and AI-powered solutions
- Review and validate AI-generated artifacts including requirements, design documents, code, and technical specifications.
- Apply prompt engineering, context engineering, and AI enablement techniques to improve solution outcomes.
- Customize SDD framework (GitHub SpecKit) to implement or enhance the application functionalities.
- Build the code analysis capability that scans the application code base (UI components, routes, controllers/services, API definitions, data models, validation and business-rule logic) using SDD Framework.
- Extract user flows, functional rules, boundary conditions, error paths,



and integration points from the code using SDD framework
- Convert the extracted understanding into structured, reviewable specs using the Spec Kit workflow (constitution, specify, plan, tasks, implement).
- Handle large or legacy code bases through chunking, indexing, dependency mapping, and context management so results stay accurate.
- Review and validate AI-generated test designs, test cases, Playwright automation scripts, and quality engineering assets to ensure functional accuracy, adequate coverage, maintainability, and production readiness.
- Deploy and productionize CI/CD, automation, security, access, compliance, monitoring, logging, observability, performance tuning, scalability
- Review and ensure compliance with enterprise security, governance, DevSecOps, and quality standards.
- Develop user onboarding, training, go-live support
- Drive user adoption, measure business impact, optimize user experience, communicate outcomes
- Identify new user cases, expansion opportunities, refine model, prompts, agents
- Improve and refine processes, automation

Required Technical Skills

- Strong proficiency in Python, with the ability to review, validate, debug, and optimize AI-generated code for enterprise use.




- Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or equivalent platforms.
- Expert AI/LLM framework LangChain/LangGraph, GCP/Azure, GraphDB/Vector Database
- Experience working with Spec-Driven Development methodologies (GitHub Spec Kit or comparable approaches).
- Hands-on experience with APIs, microservices, and modern application architectures.
- Ability to read and reason about code in the client’s stack (for example Java/Spring, .NET, Node.js, C++ or Python), including REST APIs and data models.
- Experience with static analysis or code parsing techniques (AST parsing, call graphs, dependency analysis, or tools such as Tree-sitter, CodeQL, or Sourcegraph)
- Familiarity with CI/CD, DevSecOps, automated testing, and deployment pipelines.
- Experience with test automation frameworks such as Playwright, Selenium, or equivalent.

Professional Skills

- Strong problem-solving and analytical capabilities.
- Customer-facing communication and consulting skills.
- Ability to work independently in fast-paced environments.
- Experience collaborating with cross-functional and distributed teams.
- Solid ownership mindset with a focus on measurable business outcomes.

Preferred Qualifications

• Experience in Banking & Financial Services (BFS) domain.

- Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models.
- Understanding of cloud-native architectures and platform engineering.

Interested candidates can share resume at [email protected]

📌 Agentic AI+Java Fullstack (Pune)
🏢 Mphasis
📍 Pune