HIH - Software Engineering Associate Advisor

Analytics Saves At Work India; Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Analytics Saves At Work India seeks a Software Engineering Associate Advisor to design, implement, and deploy Gen AI powered solutions from Hyderabad with remote flexibility. You will work across Angular/React front-ends and Python back-ends, embracing privacy, security, and fairness in scalable AI platforms.

You will collaborate with business partners and IT teams in an Agile environment, review code, and contribute to monitoring, deployment, and ongoing optimization of AI features for

Qualifications

• 7+ years of backend development experience.
• 3+ years in DevOps.
• 2+ years developing Gen AI solutions and integration.
• Experience with AI platforms and emphasis on privacy, security, and fairness.

Responsibilities

• Build enterprise grade AI solutions with focus on privacy, security, fairness.
• Perform code reviews with scrum teams to ensure production readiness.
• Collaborate with business partners to translate requirements into scalable solutions.
• Establish/Improve/Maintain proactive monitoring and management of assets.
• Maintain strong relationships with delivery partners and stakeholders.

Skills

Python

Node.js

RESTful APIs

GraphQL APIs

SQL/NoSQL databases

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

OpenShift

GitHub Actions

Job description

Software Engineering Associate Advisor

The AI CoE team is seeking Gen AI Fullstack Software Engineers to work on the AI ecosystem. The GenAI Fullstack Engineer will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness. Key components include Angular and React JS based user interfaces, a robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities, a flexible Machine Learning (ML) and document processing pipeline. This role will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions within the Agile methodology and participate in all phases of the development and system support life cycle. Primary responsibilities are to build an AI Platform(s) leveraging the LLMs and other Gen AI Capabilities and provide design solution for portal integrations, enhancement, and automation requests. The ideal candidate is a technologist that brings a fresh perspective and passion to solve complex functional and technical challenges in a fast-paced and team-oriented environment.

Job Responsibilities

• Build enterprise grade AI solutions with focus on privacy, security, fairness.
• Perform code reviews with scrum teams to approve for Production deployment.
• Conduct research to identify new solutions and methods to fulfill diverse and evolving business needs
• Establish/Improve/Maintain Proactive monitoring and management of supported assets assuring performance, availability, security, and capacity
• Maintains a strong and collaborative relationship with delivery partners and business stakeholders.

Required Experience / Qualifications

• This position requires a highly technical, hands-on, motivated and collaborative individual with exceptional communication skills, proven experience working with diverse teams of technical architects, business users and IT areas on all phases of the software development life-cycle
• 7+ years of experience in backend development (Python and Cloud)
• 3+ years experience in DevOps.
• 2+ year in developing Gen AI Solutions and its integration with other systems.

Detailed list of Skillset required

Back-End Development Skills

• 1. Server-Side Languages: Proficiency in server-side languages such as Python, Node.js.
• 2. APIs: Experience in building and consuming RESTful, Flask / Fast API / and GraphQL APIs.
• 3. Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc.

DevOps and Cloud Skills

• 1. Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications.
• 2. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices using GitHub Actions
• 3. Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security.
• 4. Cloud Services: Familiarity with cloud platforms like AWS or Azure for deploying and managing applications and AI models.

AI and Machine Learning Skills

• 1. Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras.
• 2. Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers.
• 3. Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks.
• 4. Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform).
• 5. Understanding of implementing Prompt Engineering, Finetuning and RAG.

Additional Skills

• 1. Version Control: Proficiency with Git and version control workflows.
• 2. Software Development Practices: Understanding of agile methodologies, testing, and code review practices.

Education and Training Required

Degree in Computer Science, Artificial Intelligence, or a related field.

Location & Hours of Work

Full-time position, working 45 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.

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.