Agentic AI

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟲𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯-𝟮𝟲 𝗟𝗣𝗔)

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 modern 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.

• 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.

• 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.
• Strong communication skills and the ability to clearly document technical approaches, model behaviour, and evaluation results.