Job Title : Gen AI Engineer
Location : Gurugram (Hybrid)
Experience : 4+ Years (STRICTLY)
Employment Type : Permanent
Notice Period : Immediate Joiners Only
About the Company
Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.
Job Description
Responsibilities :
- Solution Design & Build : Use no-code builder to create AI agents and GenAI apps using Application, Automation, Data, and AI Agent modules
- Prompting & RAG : Engineer prompts, tool / function calling, chunking / embedding, vectorization, reranking, grounding, and guardrails for high-quality Arabic / English outputs
- Agent Evaluation : Create golden test sets; use agent-eval frameworks to track accuracy
- LLM Model training & fine-tuning (via prompt engineering & other methods) in Arabic and English
- Customer Delivery : Run discovery, define user stories & acceptance criteria, build PoCs / MVPs, iterate rapidly with stakeholders
- Platform Expertise : Become an SME on the UnifyApps platform; provide structured product feedback to influence roadmap
Requirements :
Experience : 2–4 years in AI / LLMs building real applications or agentsIn-depth knowledge on Gen AI : LLMs, team of agents, MCP / A2A, RAG (chunking, embeddings, reranking, vector DBs), grounding / hallucination, AI governance, auditability, evaluation, HITL etcModel Ops : Prompt engineering, golden test set creation, agent-eval frameworks, A / B testing, regression analysis, basic fine-tuning (PEFT / LoRA)Integrations : REST / GraphQL APIs, OAuth, webhooks; stitching systems into end-to-end flowsProduct Thinking : Ability to unpack complex problems, map user journeys, and draft user stories & acceptance criteriaBasic Design Aptitude : Comfort with quick wireframes and basic visual flowsBasic coding knowledge : Python, Java, C++, GroovyWays of Working : Bias for action, strong communication / storytelling, stakeholder management, cross-functional collaboration, and comfort in a fast, high-ownership startup