DE&A - AIML - Deep Learning - Generative AI at ZENSAR TECHNOLOGIES SINGAPORE PTE LTD

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Sep, 26

Salary

0.0

Posted On

25 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, .NET, Node.js, Generative AI, LLMs, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, RAG, Prompt Engineering, CI/CD, Microservices, SDLC

Industry

IT Services and IT Consulting

Description

Key Responsibilities 1. AI Agents for Application Development * Design and build AI agents that assist in application development lifecycle (SDLC) * Develop agents for: * Code generation & scaffolding * API development & integration * Code refactoring and optimization * Enable developer copilots for faster feature delivery -------------------------------------------------------------------------------- 2. AI Agents for Application Enhancements * Build agents to: * Analyze existing codebases and suggest enhancements or optimizations * Automate bug detection and resolution * Support impact analysis for changes * Develop agents for legacy modernization and code migration (e.g., Java/.NET upgrades) -------------------------------------------------------------------------------- 3. Testing & QA Automation Agents * Create agents to: * Automatically generate unit, integration, and regression test cases * Perform test execution and defect prediction * Enable self-healing test automation frameworks -------------------------------------------------------------------------------- 4. LLM & Agent Framework Implementation * Build solutions using frameworks such as: * LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI * Implement: * Multi-agent orchestration (planner, executor, reviewer agents) * Tool-using agents (Git, CI/CD, APIs, databases) -------------------------------------------------------------------------------- 5. RAG & Context Engineering * Implement RAG pipelines using application code repositories, documentation, and APIs * Build context-aware agents using: * Codebases (GitHub, Azure DevOps) * Knowledge repositories (Confluence, SharePoint) -------------------------------------------------------------------------------- 6. DevOps & Integration * Integrate agents into: * CI/CD pipelines (Azure DevOps, GitHub Actions) * Developer tools (IDE plugins, Copilot extensions) * Develop APIs/microservices to expose agent capabilities -------------------------------------------------------------------------------- 7. Evaluation & Optimization * Define metrics for: * Developer productivity improvement * Code quality and defect reduction * Optimize for cost, latency, and accuracy of LLM usage -------------------------------------------------------------------------------- 8. Governance & Security * Ensure: * Secure code handling and IP protection * Compliance with enterprise AI governance * Guardrails to prevent insecure or non-compliant code generation -------------------------------------------------------------------------------- Required Skills & Experience Core Skills * Strong programming skills in Python (mandatory) and at least one of Java/.NET/Node.js * Hands-on experience with application development & SDLC processes * Experience with REST APIs, microservices architecture -------------------------------------------------------------------------------- AI / GenAI Skills * Experience building AI-powered developer tools or agents * Strong knowledge of: * LLMs (OpenAI, Azure OpenAI, open-source models) * Prompt engineering & fine-tuning basics * Experience in RAG-based solutions -------------------------------------------------------------------------------- Agent Frameworks * Hands-on with: * LangChain / Semantic Kernel / LlamaIndex * Exposure to AutoGen / CrewAI / multi-agent patterns -------------------------------------------------------------------------------- DevOps & Tools * Familiarity with: * GitHub / Azure DevOps repositories * CI/CD pipelines * Docker / Kubernetes (preferred) -------------------------------------------------------------------------------- Good to Have * Experience with GitHub Copilot or similar developer productivity tools * Exposure to code analysis tools (SonarQube, SAST/DAST) * Experience in legacy modernization projects * BFSI domain experience (for enterprise use cases) -------------------------------------------------------------------------------- Experience * 5–10 years total experience * 2+ years in GenAI / AI-led development (preferred)

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Responsibilities

Design and build AI-powered agents to accelerate the software development lifecycle, including code generation, testing automation, and legacy modernization. Implement multi-agent orchestration and RAG pipelines to enhance developer productivity and application quality.