Jobs

The Computational Health Informatics Program (www.chip.org) at Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team (http://smarthealthit.org). In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments.

Key Responsibilities

Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation.
Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling.
Query and manage health datasets using SQL on AWS cloud
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries. Using a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generates and tests hypotheses and analyzing and interpreting the results of experiments
With minimal supervision and direction, completes assignments in the required timeframe; consistently adhering to and promoting standard operating proced

Your Impact at Lila

We're seeking a Machine Learning Research Engineer specializing in LLM Post Training you'll design and maintain large-scale training systems, optimize performance for massive models, and integrate cutting-edge techniques to improve efficiency and throughput.

What You'll Be Building

Ray-based distributed training infrastructure for LLMs and multi-modal models.
Performance optimizations for large-scale model training including training and optimization workflows (SFT, MoE, long-context scaling).
Orchestrate frontier and open source LLMs along with complex compute-intensive tool use
Scalable pipelines for data preprocessing and experiment orchestration, including tools for efficient data loading, pipeline parallelism, and optimizer tuning.
System-level performance benchmarks and debugging utilities.

What You'll Need to Succeed

Proven experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray).
Strong software engineering skills (Python, C++ kernel contributions are a plus).
Understanding of large-scale model training techniques.
Experience with cloud or HPC environments.

Bonus Points For

Prior work with scientific datasets or domain-specific modeling.
Contributions to open-source ML frameworks.

Location

San Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).

About Lila

Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

If this sounds like a

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

Required Skills & Experience
• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• 3+ years of test automation using Selenium, Cucumber, or Karate
• Experience with Python, Java, or C#

What You Will Be Doing
• Provide process design and technical evaluation of product intake items related to internal open source - harvest, market, and document solutions our partners have built to accelerate adoption of test automation with a focus on AI-assisted testing.
• Required to keep up with rapidly increased pace of line of business solutioning and the need to align it with enterprise strategy and scale.
• Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Software Engineering.

Pennington, New Jersey 08534 Posted April 9th, 2026

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Job Type: Full Time

Job Category: IT

Role: Python Engineer – Agentic AI & MCP Orchestration

Location: Jersey City, NJ/ Pennington, NJ

FTE only

Job Description

Must Have Technical/Functional Skills

Technical Skills
• Strong hands-on experience in Python for building production-grade applications.
• Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution).
• Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers).
• Practical experience setting up and configuring Model Context Protocol (MCP) servers.
• Ability to implement and integrate MCP Clients with external systems and AI models.
• Proficiency working with LLMs, prompt engineering patterns, and structured output handling.
• Experience with API integration, event-driven interactions, and tool/skill registration for agents.
• Strong understanding of asynchronous Python (asyncio, concurrency patterns).
• Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have).
• Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices.

Functional Skills
• Ability to translate business problems into agent-driven automation workflows.
• Strong debugging and troubleshooting of distributed agent behavior and orchestration flows.
• Familiarity with governance, model safety constraints, and responsible AI usage patterns.
• Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior.
• Effective communication with architects, product teams, and business stakeholders.
• Comfort working in Agile environments with rapid experimentation and iteration.

Roles Responsibilities

Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows.
• Build, configure, and maintain

Job Description Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is onsite, 5 days/week in Irvine, CA. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Two (2) + years' experience in Python, PyTorch, TensorFlow, or other machine learning frameworks. Must have advance knowledge and experience with C#. Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to busine

We are seeking a SDET to join our client's team to drive innovation in AI-powered test automation. This role focuses on building and maintaining intelligent test automation infrastructure on AWS and CloudBees, with emphasis on self-healing scripts and AI-driven testing solutions. This is a great pportunity to work with cutting-edge AI and automation technologies.

Key Responsibilities
- Design, develop, and maintain automated test scripts and frameworks
- Deploy and configure reliable automation assets in CloudBees CI/CD pipelines
- Troubleshoot and resolve technical issues with automation infrastructure
- Create AI-based automation solutions using AWS Bedrock and frameworks like LangChain
- Integrate AI agents-and solutions with existing automation platforms
- Implement self-healing test scripts and Intelligent Test Automation (ITA) strategies
- Apply context engineering to ensure AI-driven testing relevance and coverage

This position is a contract to permanent opportunity offering a career stability and growth! This position is a hybrid opportunity (1-2x onsite per week in Maryland and/or Wash DC office).-

Required Skills

- Bachelor's degree in Computer Science, IT, or related field is preferred
- 5+ years of experience in software testing and test automation
- Proven experience with AI tools for test generation, refactoring, and self-healing
- Strong understanding of DevOps practices and CI/CD pipelines
- Experience building and scaling testing agents
- Knowledge of context engineering for AI-driven testing
- Experience with modern testing frameworks beyond Selenium
- Background in machine learning or AI applications
- Experience with microservices and containerized applications

Required Technical Skills
- Programming Languages: Python, Java/Selenium, SQL
- AI/ML Frameworks: AWS Bedrock, LangChain, Pandas, and other popular Machine Learning libraries
- Test Automation: Selenium, Playwright, API testing frameworks
- Cloud & DevOps: AWS services, Docker, Kubern

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities
• Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.
• Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.
• Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.
• Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.
• Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD co

Requirements
• Bachelor's Degree or equivalent work experience: Computer Science, Software Engineering or equivalent field. - Required,
• 3+ Years Experience developing test strategies, test plans, and test cases. - Required,
• Create and execute test cases; prepare test setups,
• Conduct regression testing and log/report defects,
• Research/resolve basic production support cases,
• Engage with development for clarifications and issue resolution,
• Use AI tools for basic tests creation, documentation, and analysis,
• Programming or scripting experience (Java, Python, JS, C#, or similar),
• Automation tools/frameworks: Selenium, Cypress, Playwright, Appium, REST-Assured, JMeter, etc,
• Strong understanding of QA methodologies, testing lifecycle, and SDLC,
• Agile methodology, DevSecOps exposure along with CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, etc.,
• SQL proficiency; ability to test web apps, APIs, and systems with minimal UI,
• Experience with JIRA/ALM/Xray or similar tools,
• Comfort using AI-powered testing tools, copilots, and analysis utilities,
• Strong analytical, communication, documentation, and problem-solving skills,
• Ability to manage workload, collaborate in Agile teams, effectively, and work independently,
• (Desirable) Knowledge of QA concepts and test lifecycle,
• (Desirable) Basic SQL; familiarity with ALM/JIRA,
• (Desirable) Basic understanding of mobile development languages (Java/Objective-C/Swift/C#),
• (Desirable) Strong ability to learn quickly and meet deadlines

What the job involves
• The Sr. Specialist, Software Development Engineer in Test (SDET) is responsible for ensuring the quality, reliability, and performance of applications through automation, technical testing, and deep collaboration with engineering teams,
• SDETs combine software development skills with quality engineering practices to design, build, and maintain automated test frameworks, tools, and test suites across UI, API, backend, and integrated systems f