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)

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

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