Generative AI & LLM Specialist

Experience: 3-6 Years

Location: Bangalore

Type: Full-time - Hybrid

The Opportunity

We’re seeking a Generative AI & LLM Specialist with deep expertise in building with LLMs, Retrieval-Augmented Generation (RAG), Text-Augmented Generation (TAG), and agentic AI workflows. This person will play a key role in shaping and developing a platform to orchestrate and synchronize AI agents capable of performing complex, multi-step reasoning tasks and collaborating to deliver enterprise-grade services.

You’ll bring a rare blend of skills across Python, data science, and generative modeling, while also understanding how to structure systems that make intelligent agents work together reliably and safely.

Responsibilities

●Design, develop, and deploy core components of a platform to support agentic AI architectures, including agent orchestration, memory, and tool use.

●Implement synchronized multi-agent workflows that can reason, plan, and act toward shared goals.

●Work with and fine-tune foundation models, build advanced pipelines with RAG/TAG, and embed them into real-world applications.

●Build reusable primitives for application developers to easily extend and customize agent capabilities.

●Integrate LLM-based agents with tools, APIs, knowledge bases, and vector databases to expand reasoning and execution capabilities.

●Contribute to system design for scalability, performance, and security in a production-grade AI service platform.

●Collaborate across engineering, product, and design to rapidly prototype and launch intelligent features.

●Monitor emerging research in agent-based AI, model alignment, and cognitive architectures—and translate insights into product capabilities.

Qualifications

●Education: Bachelors or Masters in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.

●Experience: 3–6 years of experience with Generative AI, LLMs, and advanced NLP.

Technical Skills:

• Deep understanding of agentic AI concepts, such as autonomous agents, tool use, memory/reasoning modules, and planning.
• Proficient in Python and GenAI frameworks: HuggingFace, LangChain, LlamaIndex, OpenAI/Anthropic APIs, etc.
• Strong grasp of Data Science, particularly NLP, ML model evaluation, and experimental design.
• Experience with multi-agent coordination, decision-making systems, or distributed AI architectures is highly desirable.
• Exposure to enterprise software development—REST APIs, distributed systems, backend services, and cloud platforms.
• Familiarity with orchestration tools like Celery, Airflow, or agent frameworks like CrewAI, Autogen, or custom setups.
• Passion for working in an early-stage, high-impact environment where speed, creativity, and collaboration matter

Soft Skills:

• Excellent communication and problem-solving abilities.
• Ability to work independently and as part of a team.

Nice-to-Haves

● Background in cognitive architectures, reinforcement learning, or multi-modal systems.

● Contributions to open-source projects in GenAI or agentic AI.

● Experience with vector stores (e.g., FAISS, Weaviate, Pinecone) and graph-based reasoning.

● Previous startup and 0-to-1 product experience.