AI/ML Engineer

This role is for one of the Weekday's clients

Min Experience: 4 years

Location: Bengaluru

JobType: full-time

We are seeking a passionate and highly skilled AI/ML Engineer to join our growing AI team. In this role, you will work at the intersection of cutting-edge artificial intelligence and real-world product development, driving innovations in Agentic AI systems and Generative AI models. The ideal candidate has a strong foundation in ML algorithms, hands-on experience building end-to-end AI applications, and a deep understanding of developing intelligent agents that can reason, plan, and act autonomously.

Requirements

Key Responsibilities

• Design, develop, and deploy AI-driven solutions leveraging Agentic AI frameworks and architectures.
• Build and fine-tune Generative AI models (e.g., LLMs, diffusion models, transformers) for tasks such as content generation, summarization, personalization, and automation.
• Engineer intelligent multi-agent systems capable of performing autonomous reasoning, decision-making, and tool use.
• Collaborate cross-functionally with product, engineering, and data teams to integrate ML models into scalable production systems.
• Own the end-to-end ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Continuously improve model performance using experimentation, A/B testing, and feedback loops.
• Stay abreast of the latest research in AI agents, prompt engineering, LLM orchestration, RAG pipelines, and multi-modal AI applications.
• Contribute to architectural decisions and mentor junior developers or researchers where needed.

Required Skills and Qualifications

• 4–12 years of industry experience as an AI/ML Engineer, AI Developer, or related role.
• Proven expertise in Machine Learning, Deep Learning, and NLP, with a track record of shipping ML models to production.
• Hands-on experience with Generative AI tools and frameworks (e.g., Hugging Face Transformers, OpenAI APIs, LangChain, LlamaIndex, or similar).
• Proficiency in Python and ML libraries such as PyTorch, TensorFlow, scikit-learn, and JAX.
• Experience with Agentic AI concepts, tools, and frameworks (e.g., Auto-GPT, BabyAGI, CrewAI, LangGraph).
• Deep understanding of prompt engineering, fine-tuning, and aligning large models to task-specific goals.
• Solid understanding of software engineering best practices, version control (Git), CI/CD, containerization (Docker), and cloud platforms (AWS, GCP, Azure).
• Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment.

Preferred Qualifications

• Experience building AI applications involving retrieval-augmented generation (RAG) or tool-using agents.
• Familiarity with knowledge graphs, semantic search, and vector databases (e.g., FAISS, Pinecone, Weaviate).
• Background in reinforcement learning or planning algorithms is a strong plus.
• Publications or contributions to open-source AI/ML projects.