招聘
必备技能
Python
PyTorch
TensorFlow
Machine Learning
Machine Learning (AI) Analyst
Position Overview:
We’re looking for an Engineer who will be responsible for accelerating us on the embedded solutions(UI/API & LLM) journey for our platforms. The journey requires building foundational capabilities/patterns and enabling teams from a design, technical architecture and selecting cloud services wisely. This role required proven technology leadership with strong hands-on digital experience.
We are seeking a highly skilled and innovative Agentic AI Developer with 3–5 years of experience to join our team. This role is ideal for professionals who bring a strong foundation in full-stack development and have evolved into AI/ML, GenAI, and Agentic AI domains. You will be instrumental in designing, developing, and deploying intelligent systems that leverage Large Language Models (LLMs) and agentic architectures to solve complex business problems.
Responsibilities:
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Understands a program’s architecture/design, logical and physical data models.
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Design and develop an embedded application that comprises of UI, API development & integration with LLM & Python model to provide accurate recommendations.
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Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions.
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Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
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Work with both open-source models (Tensorflow, Py Torch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions
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Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions.
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Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
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Support other product delivery partners in the successful build, test, and release of solutions
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Ability to work on projects independently with minimal or no oversight required.
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Examine and discover methods to improve the accuracy, effectiveness, and dependability of data quality and support.
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Support the full software lifecycle of design, development, testing, and support for technical delivery
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Understand the Business and the Application Architecture End to End
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Participate in daily team standup meetings where you'll give and receive updates on the current backlog and challenges.
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Build solutions that align with responsible AI practices.
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Optimize existing generative AI models for improved performance, scalability, and efficiency.
Qualifications:
Required Skills:
· Bachelor’s Degree in Information Technology or Computer Science or Engineering or related course work
· 3-5 years of Experience working in Design, fine-tune, and deploy LLMs for enterprise use cases.
· Build agentic systems capable of autonomous decision-making and task execution.
· Integrate LLMs with legacy systems and modern cloud-native applications.
· Experience with machine learning libraries and frameworks such as Tensor Flow, Py Torch, or Keras.
· Experience with natural language processing (NLP) techniques and tools, such as Spa Cy, NLTK, or Hugging Face.
· Develop and optimize ML models for classification, prediction, and recommendation tasks.
· Contribute to front-end and back-end development using Node.js, Python. Work with AWS services for scalable deployment of AI/ML solutions.
· Design and manage SQL Server databases and data pipelines.
· Experience in working with GenAI, agentic frameworks like OpenAI API, Lang Chain, CrewAI.
· Work closely with cross-functional teams including architects, product owners, and business stakeholders.
· Strong knowledge of data structures, algorithms, and software engineering principles.
· Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.
· Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Required Experience & Education:
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Proven experience with design and development of large-scale enterprise application solutions.
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College degree (Bachelor) in related technical/business areas or equivalent work experience.
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3-5 years of experience in Software engineering
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Hands-on experience engineering/developing modern on-prem/public AWS solutions, Python and LLM models.
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Willing to learn, go above and beyond attitudes.
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Experience with modern and legacy development languages.
Desired Experience:
- Healthcare experience is preferred.
Location & Hours of Work:
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Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate
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Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)
Equal Opportunity Statement:
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
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关于Cigna

Cigna
PublicThe Cigna Group is an American multinational for-profit managed healthcare and insurance company based in Bloomfield, Connecticut.
10,001+
员工数
Bloomfield
总部位置
$54B
企业估值
评价
3.7
10条评价
工作生活平衡
4.2
薪酬
2.8
企业文化
4.1
职业发展
3.5
管理层
3.2
65%
推荐给朋友
优点
Supportive and encouraging management
Excellent work-life balance and flexible hours
Great health benefits and vacation time
缺点
Below market compensation and low pay
Poor management and lack of transparency
High workload and stress levels
薪资范围
38个数据点
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
Junior/L3 · Lead Analyst
0份报告
$105,250
年薪总额
基本工资
-
股票
-
奖金
-
$89,462
$121,038
面试经验
4次面试
难度
2.8
/ 5
时长
14-28周
录用率
50%
体验
正面 50%
中性 0%
负面 50%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Team Member Interviews
5
Panel/Multiple Interviews
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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3d ago
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