GenAI-Engineer

Fractal; Gurugram District; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Fractal is seeking an experienced Data Scientist with 5-8 years in GenAI and NLP/LLM technologies. You will own end-to-end AI initiatives, build scalable LLM-driven solutions, and collaborate with cross-functional teams to align AI with business goals.

Strong ML/DL background and hands-on experience with modern AI frameworks are essential. Responsibilities include designing and deploying LLM-based systems, staying ahead of GenAI advancements, and delivering measurable outcomes in productivity,

Qualifications

• Experience building and fine-tuning LLMs with hands-on ML/DL background.
• Proficiency in GenAI, NLP, and modern AI frameworks.
• Ability to design end-to-end AI solutions with minimal supervision.

Responsibilities

• Design, develop, and implement advanced LLM-based solutions.
• Own initiatives end-to-end with minimal supervision.
• Stay current with Generative AI and RAG systems.
• Build reusable code libraries and frameworks for AI development.
• Collaborate with cross-functional teams to align AI with business goals.
• Translate business problems into structured AI solutions and measurable outcomes.
• Drive solution success metrics and communicate architecture decisions clearly.

Skills

GenAI expertise

NLP/LLM architectures

ML model building

Training & fine-tuning LLMs

Strong ML/DL background

Cross-team communication

Education

MS/PhD in Computer Science or AI

Tools

Azure OpenAI

LangChain

LlamaIndex

Vector databases

Prompt engineering (CoT, ReAct, agents)

Multimodal models

Agentic frameworks (CrewAI, AutoGen, LangGraph, n8n)

RAG pipelines

Databricks ecosystem

LLM deployment tooling

Job description

Job Description:

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

5-8 years of as a Data Scientist with deep expertise in GenAI, NLP/LLM technologies. The candidate should have hands‑on experience ML model building as well as training and fine‑tuning large language models from the ground up. This role requires a strong technical background in machine learning, deep learning, and practical experience with modern AI frameworks.

Responsibilities:

• Design, develop, and implement advanced solutions leveraging Large Language Models (LLMs).
• Take full ownership of initiatives, delivering end-to-end solutions with minimal supervision.
• Stay current with the latest advancements in Generative AI, LLMs, RAG systems, and applied research.
• Build and maintain reusable code libraries, tools, and frameworks to accelerate AI development.
• Participate in code reviews to ensure high-quality, maintainable, and scalable solutions.
• Contribute across the entire software development lifecycle—design, implementation, testing, deployment, and maintenance.
• Collaborate with cross-functional teams to align AI solutions with business goals, integrate contributions into core systems, and influence roadmaps.
• Apply strong analytical and problem‑solving skills to design efficient solutions for complex business challenges.
• Communicate effectively across technical and non-technical teams, ensuring transparency and alignment.
• Own business impact of AI solutions, including adoption, accuracy, latency, and cost efficiency.
• Translate ambiguous business problems into structured AI solution approaches and measurable outcomes.
• Drive solution success metrics (e.g., productivity gains, automation %, decision accuracy).
• Engage directly with business and technical stakeholders to understand requirements, present solutions, and influence decision‑making.
• Communicate solution architecture and trade‑offs clearly to both technical and non-technical audiences.
• Contribute to client discussions, PoCs, and proposal development.
• Design scalable, modular, and production‑grade AI systems (APIs, pipelines, orchestration layers).
• Define architecture patterns for LLM applications (RAG pipelines, agentic workflows, hybrid systems).
• Make trade‑offs across latency, cost, accuracy, and maintainability.
• Build reusable accelerators, frameworks, and components that can be leveraged across multiple use cases and clients.
• Contribute to internal IP creation (assets, templates, reference architectures).
• Ensure reliability and robustness of LLM systems through evaluation frameworks, guardrails, and fallback strategies.
• Design safe and responsible AI systems (hallucination mitigation, bias handling, governance).
• Optimize cost‑performance trade‑offs in large-scale deployments.
• Identify when NOT to use LLMs and propose alternative approaches.
• Contribute to code reviews, design reviews, and mentorship of junior team members.
• Drive quality standards and best practices across projects.
• Stay ahead of advancements in GenAI and proactively evaluate their applicability to business problems.
• Contribute to internal knowledge sharing, training, and capability building.

Must-Have Skills:

Generative AI & NLP:

• SaaS-based LLMs: LangChain, LlamaIndex, vector databases, prompt engineering (CoT, ReAct, agents), Azure OpenAI function calling, multimodal models.
• Open‑Source and SaaS LLMs: Azure OpenAI, Claude Opus 4.6, GPT-3.5 Turbo, GPT-4, etc.
• At least one agentic Generative AI framework: CrewAI, AutoGen, LangGraph, n8n, LangFlow, SmolAgents, Semantic Kernel.
• Advanced Retrieval‑Augmented Generation (RAG) systems: hybrid retrieval, knowledge graph–based retrieval, multi‑hop RAG, hierarchical/contextual retrieval strategies, evaluation/monitoring of RAG pipelines.
• Classical NLP: text classification, topic modeling, Q&A systems, conversational AI/chatbots, search, Document AI, summarization, content generation, and Named Entity Recognition (NER).
• Databricks ecosystem: Databricks Genie, Databricks AI/BI, AgentBricks.
• MS Copilot Studio and knowledge on no‑code/low‑code app development.
• MCP server, tools, skills and creation and maintenance of reusable componets.

If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us!

Requirements: