Senior Software Development Engineer (AIML and GenAI Engineer)

The Senior Software Engineer role is an individual contributor position within the software product development organization responsible for understanding requirements thoroughly identifying and bridging gaps and designing implementing and testing endtoend AI-driven solutions. We are seeking an experienced AI/ML and GenAI Engineer to lead the design development and deployment of advanced machine learning and generative AI solutions. You will play a key role in architecting scalable AI systems including LLMbased and agentic workflows mentoring junior engineers and driving AI initiatives from concept to production.

Responsible for

• EndtoEnd AI Solution Development: Architect implement and optimize AI/ML models for NLP computer vision predictive analytics generative AI and agentic AI workflows.
• Build robust scalable pipelines for data ingestion model training evaluation and inference following best practices in MLOps and AI lifecycle management.
• Deploy models to production environments (cloud/on-prem) ensure performance reliability security and compliance.
• Mentor junior engineers review code and contribute to architectural decisions.
• Work closely with product managers data scientists and DevOps teams to integrate AI into business applications.
• Stay updated with emerging AI technologies and frameworks; evaluate and implement new approaches.
• Ensures timely delivery and excellent quality of the deliverables for the product
• Working on low latency high performance systems
• Able to work in agile software development environment
• Acts as subject matter expert for the domain processes methodology and able to adapt latest technologies frameworks and tools quickly

Required Qualifications

• 4.58 years of experience in software engineering with at least 4 years focused on AI/ML development including handson exposure to generative AI LLM-based systems and agentic AI architectures.

• Fulltime Bachelors and/or Masters degree in Engineering with a minimum of 60% grade.

• Strong programming proficiency in Python with experience developing production-grade AI/ML and GenAI applications.

• ML Frameworks: Handson experience with TensorFlow PyTorch scikitlearn Keras along with experience in LLM/GenAI and agentic AI frameworks such as Hugging Face Transformers LangChain or LangGraph/CrewAI/Autogen.

• Proficiency in Machine Learning Deep Learning Natural Language Processing Generative AI and Agentic AI concepts such as tooluse multiagent orchestration and reasoning workflows.

• Experience developing finetuning optimizing and deploying AI/ML LLM and agentic AI models across cloud or onprem environments.

• Knowledge of data processing feature engineering and visualization tools (e.g. Pandas NumPy SQL).

• Ability to work effectively in global crossfunctional teams and manage multiple concurrent deliverables.

• Demonstrated experience across the endtoend product development lifecycle: design implementation testing debugging deployment and maintenance of AI systems.

• Strong problemsolving skills analytical thinking and the ability to innovate and adopt new AI GenAI and agentic AI technologies.

  Preferred Qualifications

• Experience in delivering scalable highperformance AI services and applications with excellent quality across cloud or onprem environments.
• Experience with Large Language Models (LLMs) prompt engineering retrievalaugmented generation (RAG) and developing agentic AI workflows using frameworks such as LangChain LangGraph/Crew AI/AutoGen.
• Familiarity with computer vision NLP generative AI frameworks and multimodal model development.
• Exposure to MLOps tools and optimization technologies such as MLflow Triton ONNX TensorRT model quantization GPU acceleration or distributed inference.
• Familiarity with cloudnative deployments on AWS GCP or Azure including experience integrating AI/ML and LLM systems into secure enterprise environments.