Machine Learning Engineer

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

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