Senior Gen AI Developer
Fully remote within IndiaFull-TimeSenior
Salary1,000,000 - 5,000,000 INR per year
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Job Details
- Experience
- 4–6+ years of experience in AI/ML
- Required Skills
- PythonMachine LearningPyTorchTensorflowscikit-learnNLPGenerative AILangChain
Requirements
- 4–6+ years of experience in AI/ML, including at least 2+ years in traditional machine learning and strong exposure to Generative AI systems.
- Strong proficiency in Python and experience building scalable ML/AI applications.
- Hands-on experience with LLMs (e.g., GPT, Llama), prompt engineering, and agent-based AI design.
- Experience with frameworks such as LangChain and LangGraph for building AI agents and workflows.
- Strong understanding of machine learning concepts, including deep learning, NLP, embeddings, and transformer-based architectures.
- Experience working with tools such as TensorFlow, PyTorch, Scikit-learn, and vector databases.
- Ability to design end-to-end ML systems, from data processing to model deployment and optimization.
- Strong problem-solving and solution-design thinking with the ability to architect complex AI systems.
- Excellent communication skills, including experience in client-facing or consulting-style roles.
- Preferred: background in Computer Science, Data Science, Engineering, or Mathematics from reputed institutions (IIT/NIT/IIIT/BITS).
- Bonus: experience in domains such as finance, healthcare, or insurance.
Responsibilities
- Design, develop, and deploy Generative AI solutions, including LLM-based systems, AI agents, and intelligent automation workflows.
- Build and optimize end-to-end machine learning pipelines for training, evaluation, and production deployment of AI models.
- Develop and integrate LLM-powered applications using prompt engineering, agent frameworks, and model orchestration techniques.
- Implement AI solutions using frameworks such as LangChain and LangGraph, enabling scalable agent-based architectures.
- Work with Python to build APIs, wrappers, utilities, and production-ready AI services.
- Evaluate and improve model performance using statistical analysis, embeddings, and vector-based retrieval systems.
- Collaborate with stakeholders to design robust AI architectures and translate business needs into technical solutions.
- Contribute to advanced use cases such as NLQ-to-SQL systems, recommendation engines, and generative AI applications.
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