AI/ML Engineer
Bengaluru, Karnataka, India
- Remote-first
- Website
- @weekdayworks 𝕏
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Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing APIs Architecture AWS Azure CI/CD Deep Learning Diffusion models Docker Engineering FAISS Feature engineering GCP Generative AI Git GPT JAX LangChain LLMs Machine Learning ML models Model training NLP OpenAI Open Source Pinecone Pipelines Prompt engineering Python PyTorch RAG Reinforcement Learning Research Scikit-learn TensorFlow Testing Transformers Weaviate
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