
Entry level Java/MERN Developer – SynergisticIT
- $82,000–$126,999.98 Per Year
- Full-time
Key Responsibilities
AI Innovation & Responsible Generative AI Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Humana’s ethical standards, focusing on transparency, safety, and real-world impact.
Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare.
Enterprise Integration & Business Collaboration Embed AI into Humana’s systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance.
MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
Execution of data science initiatives, including design, development, and implementation.
Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high impact AI use case solutions.
Develop and maintain advanced AI/machine learning models and algorithms.
Design and implement robust monitoring capabilities to maintain optimal performance and reliability.
Experience in creating reports, projections, models, and presentations to business stakeholders.
Required Qualifications
Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience preferably with a focus on developing production-ready AI solutions
Experience with Agentic AI System Design
Experience collaborating with MLOps and DevOps teams
Proficiency in SQL, Python, PySpark, and data analysis/data mining tools
Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
Experience with high performance, large-scale ML systems
Experience with language modeling with transformers
Experience with large-scale ETL
Preferred Qualifications
Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Prior consulting experience
Additional Information
Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.
Office Location Options:
Louisville, KY
Boston, MA
New York, NY
Dallas, TX
Tampa, FL
Washington, DC (Arlington, VA)
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
| Location | Louisville, Kentucky |
