GenAI-Engineer

Fractal Analytics Ltd.; Bengaluru; Presencial; INR 1.800.000 - 2.400.000; Jornada completa

Descripción de la vacante

Fractal Analytics Ltd. in Bengaluru seeks a Data Scientist with 5-8 years of experience in GenAI, NLP/LLM technologies.

The candidate will have hands-on ML model building and training/fine-tuning of large language models from the ground up, backed by a strong ML/DL background and practical AI framework experience. You will design and deploy end-to-end AI solutions, stay current with GenAI advances, build reusable code, participate in reviews, and collaborate with cross-functional teams to

Formación

• 5-8 years of experience as a Data Scientist with GenAI focus.
• Hands-on ML model building and training/fine-tuning of large language models.
• Strong background in ML, DL and modern AI frameworks.

Responsabilidades

• Design, develop, and implement advanced GenAI solutions using LLMs.
• Own initiatives end-to-end with minimal supervision.
• Stay current with Generative AI advances and RAG systems.
• Build reusable code libraries and contribute to production-grade AI systems.
• Collaborate with cross-functional teams to align AI with business goals.

Conocimientos

GenAI & NLP

SaaS-based LLMs

LangChain

Prompt engineering

Azure OpenAI

RAG pipelines

Retrieval augmented generation

NLP

Deep learning

LLM frameworks

Herramientas

LangChain

LlamaIndex

Databricks Genie

Azure OpenAI

vector databases

GPT-4 / GPT-3.5 Turbo

Descripción del empleo

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 experience 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.

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting‑edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end‑to‑end data‑to‑decision journey.