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Responsibilities

• Work with Sr. AI/ML engineers and Lead for experiments with novel model architectures or algorithms.
• Stay up-to-date with cutting-edge AI models, including deep learning, reinforcement learning, and generative architecture.
• Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments.
• Prototype and refine novel algorithms to improve model performance, scalability, and interpretability.
• Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications.
• Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness.
• Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research.
• Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design.
• Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning.
• Partner with data engineering and product teams to integrate AI solutions into production systems.
• Comply with company policies, procedures, and directives.

Requirements

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• 5+ years of experience in software development.
• 2+ years of experience delivering solutions with a focus on AI/ML.
• Extensive experience implementing generative AI solutions using OpenAI compatible APIs.
• Experience with Cloud-based AI and data services like Python, Databricks, RAG, Agentic, AI Foundary, LangFuse.
• Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn.
• Experience with frontend development using React or Angular, and backend services using Java or .NET.
• Experience in collaborating and working with Sr. AI/ML engineers and Lead to develop new machine learning models from scratch or improvising it.
• Solid understanding of RAG architecture including knowledge of vector databases and semantic search.
• Advanced proficiency in Python for AI/ML and automation.
• Proven expertise in Azure Document Intelligence, OCR, and Databricks.
• Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML.
• Proven ability to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques.
• Proven drive end-to-end delivery of AI-powered solutions across cross-functional teams.
• Proven excellent communication and stakeholder management skills.
• Experience with prompt engineering and fine-tuning LLMs.
• Experience working in agile development environments.
• Knowledge of Agentic AI concepts & Implementation.

Skills

• AI/ML
• Generative AI
• OpenAI compatible APIs
• Python
• Databricks
• RAG
• Agentic
• AI Foundary
• LangFuse
• GitHub
• M365 Copilot
• PyTorch
• TensorFlow
• Scikit Learn
• React
• Angular
• Java
• .NET
• Vector databases
• Semantic search
• Azure Document Intelligence
• OCR
• Enterprise search
• NLP
• Speech AI
• Vision AI
• Supervised ML
• Unsupervised ML
• Azure OpenAI
• LLM Gateway
• Retrieval-Augmented Generation (RAG)
• Prompt engineering
• Fine-tuning LLMs
• Agentic AI concepts

Experience Level

• 5+ years of experience in software development
• 2+ years of experience delivering solutions with a focus on AI/ML

Education Level

• Bachelor's or master's degree in computer science, Engineering, or a related field

Benefits

• Health insurance
• Opportunity for advancement
• Training & development