AI Engineer

Responsibilities

• Design, develop, and deploy scalable AI and Machine Learning solutions to solve complex business problems.
• Build and optimize end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
• Develop advanced Generative AI applications leveraging Large Language Models (LLMs), RAG architectures, and AI agents.
• Design and implement Agentic AI frameworks using LangGraph, LangChain, and related technologies.
• Build and deploy multimodal AI solutions that integrate text, image, audio, and video capabilities.
• Collaborate with cross-functional teams including Product Managers, Business Stakeholders, Data Engineers, and Architects to define AI strategies and roadmaps.
• Evaluate emerging AI technologies and recommend innovative solutions to improve business outcomes.
• Ensure AI systems meet performance, scalability, security, and governance requirements.
• Provide technical leadership, mentor junior engineers, and drive AI engineering best practices across the organization.
• Communicate technical concepts, project progress, and solution impact effectively to stakeholders and leadership teams.

Qualifications

• Experience in designing, building, and optimizing machine learning pipelines.
• Strong understanding of core Python concepts such as OOPs, functions, modules, iterators, generators, exception handling, decorators, typing, data classes, data structures, algorithms, and design patterns.
• Hands-on experience with libraries like NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib, and other relevant tools.
• Deep expertise in Generative and Agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, FAISS/Pinecone, OpenAI/Anthropic/Gemini APIs, and LangGraph Agents.
• Experience in developing and deploying multimodal AI solutions that integrate various modalities (text, image, audio, video).
• Ability to work collaboratively with cross-functional teams and stakeholders to define and implement AI strategies and roadmaps.
• Knowledge of evaluating emerging AI technologies and recommending innovative solutions to enhance business outcomes.
• Experience ensuring compliance with performance, scalability, security, and governance requirements in AI systems.
• Leadership skills to guide and mentor junior engineers and promote best practices within the organization.
• Effective communication skills to convey technical concepts, project progress, and solution impacts to diverse audiences.

Pay

Base Salary Range: $100,000 to $130,000 per annum

Schedule

N/A

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing