Agentic AI

As an agentic AI-ML Engineer, you will design, develop, and deploy machine learning models and AI agents that solve real-world business problems. You will work with structured and unstructured data, build predictive models, and create autonomous AI systems using state-of-the-art frameworks. This is a hands-on role where you'll contribute to the full lifecycle of AI/ML projects from conception to production.

Required Skills
Technical Skills :

• Strong foundation in Data Science and Machine Learning concepts (supervised/unsupervised learning, feature engineering, model evaluation)
• Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
• Proficiency in Python and data manipulation libraries (Pandas, NumPy, Matplotlib/Seaborn)
• Solid understanding of LLM fundamentals including prompt engineering, embeddings, vector databases, and retrieval techniques
• Practical experience with Agentic AI frameworks such as LangChain and LangGraph
• Knowledge of building AI agents with reasoning, planning, and tool-use capabilities
• Familiarity with RAG (Retrieval-Augmented Generation) architectures
• Understanding of APIs and integration patterns for AI systems
• Experience with SQL and working with databases

Preferred Skills

• Exposure to cloud platforms (AWS, Azure, or GCP) for ML deployment
• Knowledge of MLOps practices and tools (MLflow, Docker, CI/CD)
• Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
• Familiarity with OpenAI API, Anthropic Claude, or other LLM providers
• Understanding of fine-tuning techniques for LLMs
• Experience with version control systems (Like Git and Bitbucket)

Soft Skills

• Strong problem-solving and analytical thinking
• Excellent communication skills to explain technical concepts to non-technical stakeholders
• Ability to work collaboratively in cross-functional teams
• Self-motivated with a passion for staying updated on AI/ML advancements
• Attention to detail and commitment to delivering quality work

Roles And Responsibilities
Machine Learning & Data Science :

• Develop, train, and evaluate machine learning models for predictive analytics, classification, regression, and clustering tasks
• Perform exploratory data analysis (EDA) to extract insights and identify patterns in complex datasets
• Design and implement feature engineering pipelines to optimize model performance
• Conduct model validation, hyperparameter tuning, and performance monitoring
• Work with structured and unstructured data from various sources

Agentic AI & LLM Development

• Build intelligent AI agents using LangChain and LangGraph frameworks that can reason, plan, and execute tasks autonomously
• Design and implement multi-step workflows with tool-calling capabilities and decision-making logic
• Develop RAG systems that combine LLMs with proprietary knowledge bases
• Create prompt templates and chains for optimal LLM performance
• Integrate LLMs with external APIs, databases, and third-party services
• Implement memory management and state handling for conversational AI systems

Deployment & Optimization

• Deploy ML models and AI agents into production environments
• Optimize model inference for performance and cost-efficiency
• Monitor model performance and implement retraining pipelines as needed
• Document technical implementations, architectures, and best practices

Collaboration & Innovation

• Collaborate with product managers, engineers, and business stakeholders to understand requirements and deliver AI solutions
• Stay current with the latest developments in AI/ML, especially in the LLM and agentic AI space
• Participate in code reviews and contribute to team knowledge sharing
• Propose innovative solutions to leverage AI for business value

Qualifications

• Education : Bachelor's or Master's degree in CS, IT, Data Science or AI
• Experience : 1-3 years of hands-on experience in data science, machine learning, or AI development (We would like to only consider candidates with max 3 years exp)
• Freshers can also be considered provided you are possessing above mentioned skills and passionate to build your career as an AI ML Engineer

What Is In It For You

• Live Use-Cases from Day 1 : Drive production AI and automation projects across Banking, NBFC, Manufacturing and Insurance.
• High-Performing Culture : Work alongside passionate, subject-matter experts who thrive on innovation and excellence.
• Attractive Rewards : Competitive salary, performance-linked bonuses, and equity grants to recognize your impact.
• Modern, Central Office : AWFIS workspace in Thane Wagle Estate, with all amenities so you can focus on building solutions.

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