53 Ai Engineer Jobs - Page 3

Full Stack AI Developer Position Summary We are seeking a skilled Full Stack AI Developer with 3+ years of experience to join our dynamic development team. The ideal candidate will have expertise in both frontend and backend development, with specialized knowledge in building intelligent agent-based systems and user interfaces that deliver seamless AI-powered experiences. Key Responsibilities Design and develop end-to-end AI agent-based solutions spanning backend intelligence and frontend user experiences Build scalable backend systems using Python and modern frameworks for AI processing and data management Integrate with external APIs, including Microsoft Graph API and other third-party services Implement robust API security measures using OAuth and other authentication protocols Create and maintain comprehensive API documentation following OpenAPI standards Develop interactive dashboards and user interfaces that showcase AI capabilities Collaborate with cross-functional teams to translate business requirements into full-stack technical solutions Implement data processing pipelines, machine learning models, and vector-based search systems Deploy and maintain applications using cloud services and containerization Participate in code reviews and maintain high-quality coding standards across the entire stack Continuously learn and adopt new technologies to enhance full-stack development capabilities Required Qualifications: Experience- 3+ years of full-stack software development experience Proven experience in both frontend and backend development with real-world project implementations Technical Skills - Required Backend Development: Python: Strong proficiency with hands-on development experience FastAPI: Experience building REST APIs and web services PyMongo: Working knowledge of MongoDB integration Vector Stores & Embeddings: Experience with vector databases and generating embeddings in MongoDB Pandas: Data manipulation and analysis capabilities AWS Services: AWS CLI, Textract, S3, Lambda Frontend Development: Web Technologies: Proficiency in HTML, CSS, JavaScript, and ReactJS for frontend development API & Integration: API Integration: Experience with external APIs, particularly Microsoft Graph API API Security: Knowledge of OAuth and other authentication/authorization technologies for securing APIs API Documentation: Experience generating and maintaining API documentation using OpenAPI standard Development Tools: Version Control: GitHub or GitLab for collaborative development Docker: Containerization and deployment experience Preferred Qualifications Experience with agentic development frameworks Matplotlib, Scikit-Learn, LangChain, Ollama Prompt Engineering Essential Soft Skills Rapid Technology Adoption: Ability to independently learn and implement new technologies with minimal learning curve Cross-Cultural Collaboration: Experience working effectively in diverse, multicultural teams with colleagues from different ethnicities, languages, and cultural backgrounds Self-Directed Learning: Proactive approach to staying current with emerging AI and development technologies Problem-Solving: Strong analytical and troubleshooting capabilities Communication: Clear technical communication skills for team collaboration What We Offer Opportunity to work on cutting-edge AI agent technologies Collaborative, diverse, and inclusive work environment Professional development and learning opportunities Exposure to multiple industry domains (finance, healthcare, education) Modern tech stack and development tools

The Senior AI Engineer will play a pivotal role in designing, developing, and deploying AI-driven solutions that generate actionable insights across drug development, manufacturing, and supply chain operations. This role demands deep technical expertise in GenAI and machine learning, combined with strong leadership and collaboration skills. The ideal candidate will be a hands-on contributor who thrives in agile, cross-functional environments and is passionate about solving complex business problems using advanced data science techniques. Key Responsibilities Lead hands-on development (70%) of GenAI applications and ML models (classification, regression, clustering, NLP) Provide technical leadership (30%) by mentoring AI scientists and supervising project execution Collaborate with cross-functional teams to align AI solutions with business goals Work within Agile frameworks to deliver scalable and impactful AI products Engage internal stakeholders and external partners to ensure successful delivery of AI solutions Translate complex data science concepts into actionable business insights Primary Skills Advanced Python programming Experience with structured and unstructured data processing Proficiency in GenAI tools: LLMs / Transformer models AWS Bedrock SageMaker LangChain Strong command of ML libraries: scikit-learn pandas TensorFlow / PyTorch Database systems: SQL, NoSQL, Graph Experience in productionizing GenAI services Solid understanding of software development, algorithms, and optimization Excellent communication and business analysis skills Secondary Skills Cloud engineering experience (AWS services) Experience with Snowflake Front-end development knowledge (e.g., React JS) Familiarity with scaling AI solutions in enterprise environments Exposure to Agile methodologies and cross-functional collaboration Preferred Qualifications Bachelors degree in Operations Research, Mathematics, Computer Science, or related quantitative field Masters or PhD in a relevant quantitative discipline (preferred) Proven individual contributor with strong programming and problem-solving skills Experience working with complex datasets in production environments

-5+ years in AI/ML Eng with 2+ years on LLM/agentic systems -Deep expertise in prompt engineering, RAG architectures and vector databases -Proficient in Python, cloud (AWS Preferred ), Docker/Kubernetes and CI/CD -C2H role, imm joiner Hybrid mode