Agentic AI

ERGO Technology & Services; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ERGO Technology & Services in Mumbai seeks a professional to design, orchestrate, and operate agentic AI workflows across the SDLC. You will accelerate delivery, improve quality, and reduce manual work by coordinating AI agents, LLM-based tools, and code assistants.

The role emphasizes practical SDLC use, collaboration with BAs, developers, testers, product managers, and DevOps, and scaling AI-driven practices with strong communication and governance.

Qualifications

• Minimum 2–4 years in a software delivery role in IT or CS.
• Hands-on with AI assistants or agent frameworks and prompt design.
• Comfortable with Git-based workflows, CI/CD, and SDLC tooling.

Responsibilities

• Map SDLC stages and identify high-impact AI use cases.
• Design and run agentic workflows for requirements, user stories, and specs.
• Accelerate coding, code review, and refactoring with AI agents.
• Create and maintain test data and documentation artifacts.
• Integrate AI agents with Jira/Azure DevOps/Confluence/CI/CD toolchains.
• Build prompt libraries and context strategies; define guardrails.
• Train teams and develop SOPs for AI-enabled SDLC.
• Track KPIs and continuously improve workflows.

Skills

Agile/Scrum/Kanban

Software delivery

Advanced AI assistants

Prompt engineering

Git/CI_CD

Written communication

Education

Bachelor or Master in IT/CS

Tools

OpenAI tools

LangChain-based agents

Orchestration platforms

Jira

Azure DevOps

GitHub/GitLab/Bitbucket

Job description

Role Description:

This role is responsible for designing, orchestrating, and operating agentic AI workflows throughout the Software Development Life Cycle (SDLC). The focus is on using and coordinating AI agents (LLMbased tools, code assistants, documentation agents, test case generators, log analyzers, etc.) to accelerate delivery, improve quality, and reduce manual work across requirements, design, development, testing, deployment, and operations.

S/He understands SDLC in practice and is highly skilled at leveraging agentic AI to augment teams (BAs, developers, testers, product managers, DevOps), rather than building AI models from scratch.

Key Accountabilities & Responsibilities:

• Map SDLC (requirements design build test deploy operate) and identify highimpact AI use cases.
• Design and run agentic workflows for:
• Generating/refining requirements, user stories, and acceptance criteria.
• Drafting technical specs, diagrams, and interface contracts.
• Accelerating coding, code review, and refactoring.
• Creating and maintaining test cases and test data.
• Summarizing logs, incidents, monitoring data, and producing release notes/runbooks.
• Integrate AI agents with our toolchain (e.g., Jira/Azure DevOps/Linear, GitHub/GitLab/Bitbucket, test management tools, Confluence/Notion, CI/CD and observability tools).
• Build and maintain prompt libraries and context strategies so agents follow our standards and architecture guidelines.
• Define quality criteria, humanintheloop review steps, and guardrails for safe AI use (accuracy, security, privacy).
• Train and support teams on effective use of agentic AI; create playbooks and SOPs for AIenabled SDLC.
• Track KPIs (cycle time, defect leakage, test coverage, documentation quality) and continuously improve workflows.

Key Competencies & Skills required

Technical Skills:

• Strong understanding of SDLC in practice (Agile/Scrum/Kanban) across requirements, design, build, test, deploy, operate.
• 2-4 years in a software delivery role (e.g., Business Analyst, Developer, QA Engineer, Product Owner, Tech Lead, or Process/Automation Lead).
• Handson experience with advanced AI assistants or agent frameworks (e.g., OpenAI tools, LangChainbased agents, orchestration platforms).
• Ability to design and refine prompts and set up AIdriven workflows (singleagent and multiagent).
• Comfortable working with Gitbased workflows, issue trackers, CI/CD, and common SDLC tooling.
• Strong analytical and processdesign skills; excellent written communication.

Nice to have:

• Experience introducing automation or AI tools into development teams.
• Background in process improvement, DevOps, or engineering productivity.
• Exposure to test automation, observability/log analysis, or technical documentation.

Behavioral Skills:

• Strong analytical and problem-solving skills
• Ability to work in evolving environments
• Good communication skills able to explain AI concepts clearly

Previous Experience & Qualifications

Minimum Educational Qualification:

• Bachelor or Master degree in information technology,Computer Science, or a related field.

Certification if any:

Years of Experience & Knowledge:

• 2-4 years of experience in IT/Computer Science
• Experience working in enterprise hybrid IT environments with multiple stakeholders across jurisdictions.
• Exposure to Automation, production ready AI solutions
• Strong collaboration with business and technical teams