Generative AI Engineer at ZENSAR TECHNOLOGIES SINGAPORE PTE LTD

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

0.0

Posted On

07 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, LLMs, Agentic Frameworks, Python, RAG, Prompt Engineering, MLOps, Fine-tuning, Model Orchestration, LangGraph, AutoGen, LlamaIndex, Crew.ai, AWS, Azure, GCP

Industry

IT Services and IT Consulting

Description

Job Title: Generative AI Engineer Experience: 4–9 years About the Role We are seeking a Generative AI Engineer with 6–9 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills. You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not just in Jupyter notebooks, but as real applications ready for production exploration. Key Responsibilities LLM Applications & Agentic Frameworks · Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP. · Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks. · Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports. · Rapidly explore and showcase the art of the possible through functional, demonstrable POCs Advanced AI Experimentation · Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use. · Create and leverage synthetic datasets to simulate edge cases and scale training. · Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability) · Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol) Business Alignment & Cross-Team Collaboration · Translate ambiguous requirements into structured, AI-enabled solutions. · Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders Good-To-Have · Microsoft Copilot Studio · DevRev · Codium · Cursor · Atlassian AI · Databricks Mosaic AI Qualifications · 6–9 years of experience in software development or AI/ML engineering · At least 3 years working with LLMs, GenAI applications, or agentic frameworks. · Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration · Proven track record of developing functional AI prototypes beyond notebooks. · Strong presentation and storytelling skills to clearly convey GenAI concepts and value. · Ability to independently drive AI experiments from ideation to working demo. Advantage Zensar We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity. Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans’ status. Zensar is a place where you are free to express yourself in an environment that values individuality, nurtures development and is mindful of wellbeing. We put our people and customers at the center of everything that we do. Our core values include: * Putting people first * Client-centricity * Collaboration Grow. Own. Achieve. Learn. with Zensar [https://www.youtube.com/watch?v=i2NZsiQqVnU]

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Responsibilities

Design and implement end-to-end LLM applications and autonomous agents using various frameworks and cloud platforms. Rapidly prototype functional POCs and translate ambiguous business requirements into structured AI solutions.