Description

Role Overview

As an AI Engineer, you will work at the intersection of business consulting and AI engineering, helping clients translate business requirements into scalable agentic and GenAI solutions. You will collaborate with client stakeholders, AI Leads, Senior AI Engineers and cross-functional teams to understand market-specific needs, shape solution approaches and implement AI capabilities across markets.

This role requires strong hands-on engineering skills combined with a consulting mindset, including problem solving, stakeholder collaboration, structured communication and the ability to connect technical decisions with business outcomes.

Core Responsibilities

- Engage with business and client stakeholders to understand requirements, user journeys, pain points and expected business outcomes.
- Translate business requirements into AI/agentic solution components, working with Senior AI Engineers and AI Leads on solution design.
- Implement agents and sub-agents within the Google ADK framework, including intent routing, FAQ, transactional and escalation agents.
- Design, test and continuously improve prompts based on business context, market requirements and user experience.
- Build integrations between AI agents and enterprise systems, including APIs, knowledge bases, MCP services, booking platforms and notification services.
- Work closely with business and market teams to localize AI solutions across markets, considering language, process and regulatory nuances.
- Perform evaluation experiments covering intent accuracy, task completion, CSAT and other relevant metrics, and translate findings into actionable recommendations.
- Maintain and optimize RAG and vector database components, including chunking, embeddings, indexing and retrieval evaluation.
- Participate in client workshops, sprint ceremonies, solution walkthroughs and demonstrations, clearly communicating technical concepts to both technical and non-technical audiences.




- Identify implementation risks, dependencies and production issues, and work collaboratively with senior engineers and stakeholders toward resolution.
- Develop transparent implementation documentation, including solution flows, agent journeys, prompt registries, test findings and technical recommendations.

Consulting & Client-Facing Skills

- Strong problem-solving and structured thinking, with the ability to break business problems into implementable AI use cases.
- Ability to engage with client stakeholders and translate business needs into technical requirements.
- Strong verbal and written communication skills, including the ability to explain AI concepts to non-technical stakeholders.
- Comfortable participating in client workshops, requirement discussions, solution walkthroughs and demos.
- Ability to work in cross-functional teams spanning business, product, engineering and market stakeholders.
- Outcome-oriented mindset, with an understanding of how AI solutions contribute to business value, customer experience and operational efficiency.
- Ability to identify risks, assumptions, dependencies and trade-offs and communicate them proactively.

Key Qualifications

- 5+ years of technology/AI engineering experience, including at least 2 years working on conversational AI, GenAI or LLM-based solutions.
- Demonstrable hands-on experience with the Google Cloud AI stack.
- Experience working in client-facing, consulting, product or business-facing technology environments preferred.
- Strong understanding of transformers, tokenization, context windows,



prompt behavior and LLM limitations.
- Familiarity with agentic patterns such as ReAct, plan-and-execute, reflection loops and multi-agent handoffs.
- Experience working in Agile delivery environments and collaborating across business and engineering teams.
- Working knowledge of Responsible AI, data privacy and AI governance principles, with the ability to recognize and escalate potential concerns.

Enable Skills-Based Hiring No ECMS REQ IDAdditional Details

- ECMS REQ ID : 584115-584119
- Project Location 1 : KRNK | BANGALORE
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC : Mohit Agrawal
- Relevant Experience : 6+ and 10+ Yrs
- Mandatory skills : Must-Have Technical SkillsArea SkillsAI Engineering Python, LLM APIs such as Gemini/OpenAI, Prompt EngineeringAgentic AI Google ADK, agent orchestration, tool use, multi-agent patternsGenAI / RAG RAG pipelines, embeddings, Vector DBs, retrieval evaluationIntegration REST APIs, MCP, JSON/YAMLCloud & Engineering GCP, Git, PytestAnalysis Data analysis, AI evaluation and experimentation
- Desired skills : Must-Have Technical SkillsArea SkillsAI Engineering Python, LLM APIs such as Gemini/OpenAI, Prompt EngineeringAgentic AI Google ADK, agent orchestration, tool use, multi-agent patternsGenAI / RAG RAG pipelines, embeddings, Vector DBs, retrieval evaluationIntegration REST APIs, MCP, JSON/YAMLCloud & Engineering GCP, Git, PytestAnalysis Data analysis, AI evaluation and experimentation
- Domain (Industry) : Insurance
- BGC (Before onboarding / After onboarding) : PreOB
- Total Experience (Ex. 5-7 Years) : 10 Yrs
- BGC Details : Standard Infosys Checklist
- BGC Vendor : Any Nasscon vendor
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : 8:30 am to 6:00 PM
- Shift Timings : General

📌 584115-584119 | IC | AI Engineer | INDIA
🏢 Trigent Software
📍 India