AI & Generative AI / Agentic AI Developer

Job Overview

We are seeking a talented and experienced AI & Generative AI / Agentic AI Developer to join our team and build cutting-edge Generative AI and Agentic AI models and applications. The candidate will work closely with Data Scientists, Machine Learning Engineers, and Researchers to develop, implement, optimize, and deploy LLM-based and foundational AI solutions across domains such as Banking, Retail, Communications, and other enterprise verticals.

Key Responsibilities

- Develop, implement, optimize, and maintain AI, Generative AI, LLM, and Agentic AI solutions.
- Design and build Agentic AI systems supporting autonomous reasoning, multi-step task execution, tool use, and decision-making workflows.
- Develop RAG-based applications using embeddings, vector databases, document ingestion, and semantic search.
- Work with cross-functional teams to define project objectives, technical requirements, and innovative AI solutions.
- Conduct experimentation, model evaluation, hyperparameter tuning, and performance optimization.
- Build LLM-powered applications using prompt engineering, model integration, APIs, and retrieval techniques.
- Stay updated with the latest developments in GenAI, LLMs, Deep Learning, NLP, and Agentic AI.
- Create clear technical documentation covering models, experiments, processes, outcomes, deployment decisions, and results.
- Communicate complex AI/ML concepts effectively to technical and non-technical stakeholders.
- Guide team members, review technical designs, and contribute to a collaborative engineering culture.

Must-Have Skills
- 48 years of relevant experience in AI/ML and Generative AI development.
- Strong hands-on Python programming skills.
- Strong knowledge of Artificial Intelligence, Machine Learning, NLP, and Deep Learning.




- Hands-on experience with Generative AI, LLMs, Foundation Models, Transformers, and BERT-style models.
- Robust experience developing RAG (Retrieval-Augmented Generation) solutions.
- Experience with vector databases, embeddings, document ingestion, and semantic search.
- Experience with Prompt Engineering, LLM APIs, model integration, and LLM application development.
- Hands-on experience with Agentic AI and frameworks such as LangGraph, CrewAI, AutoGen, ADK, Semantic Kernel, AgentSpace, or similar.
- Experience with at least one ML framework such as PyTorch, TensorFlow, or Keras.
- Practical knowledge of at least one cloud platform: Azure, AWS, or Google Cloud.
- Understanding of model training, evaluation, optimization, overfitting, hyperparameter tuning, and performance metrics.

Good-to-Have Skills
- Experience with GANs, VAEs, or Reinforcement Learning.
- Computer Vision experience including object detection, image segmentation, model training, and evaluation.
- Experience with fine-tuning, quantization, model compression, latency reduction, and cost optimization.
- Knowledge of MLOps / LLMOps, model lifecycle management, evaluation, observability, governance, and monitoring.
- Experience with Docker, Kubernetes, CI/CD, scalable deployment, and cloud infrastructure.
- Experience deploying secure, scalable, production-grade GenAI applications with reliability, access control, and compliance considerations.
- Domain experience in Banking, Retail, Communications, or similar enterprise industries.

Educational Qualification Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Information Technology, or a related field.

Job Details

- Experience: 48 years
- Level: TM / SDM
- Locations: Pune, Hyderabad, Bangalore, Noida, Gurgaon, Chennai
- Work Mode: Hybrid / WFH
- CTC: 22–25 LPA
- Notice Period: Immediate to 60 days

📌 AI & Generative AI Developer (Bengaluru)
🏢 WSNE Consulting
📍 Bengaluru