Join an international, cross-functional team to build AI-driven solutions for background screening, splitting time between delivering new products and supporting production ML workloads.
Responsibilities
Work within a Scrum team on new products and initiatives, from design through delivery.
Provide dedicated support for existing production AI/ML workloads, ensuring reliability, performance, and continuity.
Build secure, well-optimized solutions using modern AI tooling.
Develop and productionize ML models, and design end-to-end testing strategies to hold delivered solutions to a high quality bar.
Deliver API integrations and data pipelines, optimizing for latency, throughput, and cost.
Design and build the AI layer of a software product, defining how the system reasons, coordinates multi-step tasks and interacts with users. The work covers agentic workflows, model integrations, evaluation and reliability, and close partnership with frontend and backend engineers.
Locations (3)
San Diego, California, United States
Los Angeles, California, United States
San Francisco Bay Area, California, United States
Compensation
Salary: $160K - $250K
Responsibilities
Build multi-step agent workflows that track state, propose actions and carry tasks through to completion.
Link language models to external functions, stored context and lookup layers that span mixed data sources.
Safeguard sensitive information and design fallback behavior for failed tools, incomplete inputs and unreliable model outputs.
Leading the design and delivery of next-generation scalable services, driving transition into AI-native engineering using Python, React, and GCP.
Compensation
The starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below $145,000.00 - $235,500.00/yr
Responsibilities
Drive architectural vision and deployment of high-quality, scalable software assets using Python and React
Architect and govern advanced agentic systems using Vertex AI Agent SDK, LangChain, or LangGraph
Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines
Define organizational strategy and architecture for data retrieval pipelines (vector embeddings, semantic search)
Establish enterprise-wide prompt engineering standards and LLM security frameworks
Requirements
Bachelor's degree in Computer Science or a related field
Lead technical and architectural decisions that shape system design, infrastructure strategy, and configuration optimization for enterprise software solutions.
Compensation
This position has an annualized market-based salary range of $129,000 - $193,000 and is eligible to participate in the annual incentive program.
Responsibilities
Lead technical and architectural decisions that shape system design, infrastructure strategy, and configuration optimization
Analyze business requirements, propose design alternatives aligned with the technical roadmap, and architect microservices-based solutions leveraging Java/JEE frameworks, modern UI technologies, Docker, AWS etc
Provide guidance to the project team on high level design, ensuring that the design/solution is consistent with the approved architecture
Develop software solutions by studying organizational needs; conferring with users; studying systems flow and work processes; investigating problem areas; following the spec driven development principles
Research, implement, promote “Best Practices” within and outside team for wider adoption and value addition
Requirements
Bachelor’s degree in Computer Science or Engineering
Translate complex business and product requirements into elegant, reliable technical solutions in collaboration with Product and business stakeholders.
Drive improvements in performance, reliability, testing, and CI/CD practices.
Requirements
Bachelor’s degree in Computer Science or a related field (or equivalent practical experience).
Machine Learning Engineer role to build, deploy, and optimize production-grade machine learning and Generative AI solutions for healthcare products.
Responsibilities
Design, develop, and deploy machine learning models and AI services that power Experity’s Intelligent healthcare products.
Design and implement automated data collection, feature engineering, model training, evaluation, deployment, and monitoring ML pipelines to enable predictive analytics, recommendations, forecasting, classification, and automation.
Develop APIs and production services using Python and FastAPI.
Build and operationalize Generative AI solutions, including RAG pipelines and AI powered assistants.
Work with large-scale healthcare datasets and cloud-native data platforms.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or a related field
Participates in the Bank’s Technology Development Program (TDP), a 2-year rotational training program for Bachelor degreed individuals in a technical discipline, focusing on Data & API Engineering.
Compensation
The pay range for this position is $29.57 - $43.99 per hour.
Responsibilities
Mentor with experienced technology staff to develop in-depth technical skills in a specific technical discipline such as Software Engineering, Engineering, Architecture, Data Engineering or Cybersecurity.
Complete a series of rotations, over a set timeframe, in multiple technical disciplines beyond original discipline, to gain a broader understanding of them, how they are utilized at the Bank and how they work together to deliver solutions and services to internal and external customers.
Determine post-program assignment in one of the core areas through career path design, performance, assessment, and interest.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.
Promote an environment that supports belonging and reflects the M&T Bank brand.
Requirements
Bachelor’s degree in Computer Science, Information Technology related field
Nice to have: Intermediate to advanced programming skills
Nice to have: Experience from technology internships
AI & ML EngineerNewExperity · Bengaluru, India
2027 Technology Development Program - Software Engineering (Data & API Engineering)NewM&T Bank · Buffalo, US