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Experience: 3+ yrs

Location: Pune

Job Type: Full-time

We are looking for an experienced AI/ML Engineer with strong expertise in Machine Learning, Large Language Models (LLMs), Small Language Models (SLMs), LangChain, and LangGraph . The role focuses on designing, developing, training, evaluating, and deploying intelligent AI solutions using up-to-date machine learning and generative AI technologies.

The ideal candidate will have strong Python programming skills, hands-on experience with supervised and unsupervised learning, and a solid understanding of responsible AI, explainability, model safety, and controlled generation.

Requirements KEY RESPONSIBILITIES

- Design, develop, and implement machine learning and generative AI solutions using LLMs and SLMs
- Build AI workflows and agentic applications using LangChain and LangGraph
- Apply supervised and unsupervised learning techniques to solve business and technical problems
- Prepare, process, analyse, and transform datasets using Python and dataframe-centric processing
- Train, fine-tune, validate, and evaluate machine learning and language models
- Develop model evaluation frameworks and establish appropriate performance and quality metrics
- Experiment with different model architectures, prompts, parameters, and optimisation techniques
- Implement Explainable AI (XAI) approaches to improve model transparency and interpretability
- Apply Responsible AI principles throughout model development and deployment
- Design and implement AI guardrails, safety mechanisms, and controlled-generation techniques
- Identify and mitigate risks related to hallucination, unsafe outputs, bias, and unreliable model behaviour




- Develop reliable AI pipelines that support experimentation, evaluation, and production use cases
- Collaborate with engineering, data, product, and business teams to translate requirements into practical AI solutions
- Troubleshoot model, data, pipeline, and inference-related issues and continuously improve system performance
- Stay current with developments in LLMs, SLMs, agentic AI, machine learning, AI safety, and responsible AI

WHAT MAKES YOU A GREAT FIT

- 3+ years of professional experience in Machine Learning, AI/ML Engineering, Data Science, or a related field
- Strong hands-on experience with Machine Learning, LLMs, and SLMs
- Mandatory experience with LangChain and LangGraph
- Strong understanding of supervised and unsupervised machine learning techniques
- Hands-on experience with model training, fine-tuning, tuning, validation, and evaluation
- Advanced proficiency in Python and data-centric programming
- Strong experience working with Pandas or comparable dataframe-based data-processing frameworks
- Understanding of LLM application development, prompt engineering, inference workflows, and model optimisation
- Practical knowledge of Explainable AI (XAI) and model interpretability techniques
- Strong understanding of Responsible AI, AI governance, and ethical model-development practices
- Experience implementing AI guardrails, safety controls, content filtering, and controlled-generation techniques
- Strong analytical and problem-solving skills with the ability to experiment, evaluate, and iterate on AI solutions
- Ability to work effectively with cross-functional engineering, data, product, and business teams
- Robust communication skills and the ability to clearly document technical approaches, model behaviour, and evaluation results

📌 Agentic AI (Pune)
🏢 Weekday AI (YC W21)
📍 Pune