Civil Engineering internship

Role & Responsibilities

We’re hiring a Benefits Verification Specialist with 5–8 years of experience in US health insurance eligibility and benefits verification. You’ll be part of our operations team, helping verify insurance benefits for patients receiving speciality care in the U.S.

This is a full-time, in-office role based in Bangalore, with partial overlap with US hours.

Key Responsibilities:

• Perform insurance verification and eligibility checks for commercial and government payers (e.g., Medicare, Medicare Advantage, Medicaid, Managed Medicaid, VA, DoD).
• Validate coverage details including deductibles, co-pay/coinsurance, network status, referrals, prior authorization requirements, and J-code/CPT-code specific benefits.
• Contact payer representatives via phone or payer portals as needed.
• Push back on payer based on previous experience.
• Accurately document findings in internal systems.
• Collaborate with internal teams to resolve missing or mismatched data.
• Collaborate with technology teams to improve data/systems.
• Ensure timely completion of verifications with high accuracy and within defined SLAs.

Ideal Candidate

• Strong Benefit/ Insurance Verifcation Specialists profile
• Mandatory (Experience 1) – Must have 4+ years of experience in US healthcare insurance eligibility and benefits verification
• Mandatory (Experience 2) – Must have 2+ years of experience of handling team
• Mandatory (Experience 3) – Must have Strong understanding (Subject matter expert) of insurance types — Commercial, Medicare, Medicare Advantage, Medicaid, Managed Medicaid, HMO/PPO, VA, DoD, etc.
• Mandatory (Experience 4) – Experience in verifying deductibles, co-pay/coinsurance, prior authorization requirements, network status, and J-code/CPT/HCPCS-specific benefits.
• Mandatory (Experience 5) – Ability to accurately document benefit details and maintain data in internal systems (CRM, RCM, or EMR platforms)
• Mandatory (Experience 6) – Must have worked on payer portals such as Availity, NaviNet, Aetna, UHC, or equivalent.
• Manadatory (Skills) - Good communication skills
• Preferred (Experience) – Prior experience in specialty pharmacy, oncology, infusion therapy, or behavioral health benefit verification.

Perks, Benefits and Work Culture

• Be part of a team solving critical problems in healthcare automation
• High-ownership role in a startup culture with mentorship and fast learning
• Work closely with product and engineering teams building cutting-edge AI agents
• Contribute to improving access to care for patients across the U.S.

Position Name : Product Engineer (Backend Heavy)

Experience : 3 to 5 Years

Location : Bengaluru (Work From Office, 5 Days a Week)

Positions : 2

Notice Period : Immediate joiners or candidates serving notice (within 30 days)

Role Overview :

We’re looking for Product Engineers who are passionate about building scalable backend systems in the FinTech & payments domain. If you enjoy working on complex challenges, contributing to open-source projects, and driving impactful innovations, this role is for you!

What You’ll Do :

• Develop scalable APIs and backend services.
• Design and implement core payment systems.
• Take end-to-end ownership of product development from zero to one.
• Work on database design, query optimization, and system performance.
• Experiment with new technologies and automation tools.
• Collaborate with product managers, designers, and engineers to drive innovation.

What We’re Looking For :

• 3+ Years of professional backend development experience.
• Proficiency in any backend programming language (Ruby on Rails experience is a plus but not mandatory).
• Experience in building APIs and working with relational databases.
• Strong communication skills and ability to work in a team.
• Open-source contributions (minimum 50 stars on GitHub preferred).
• Experience in building and delivering 0 to 1 products.
• Passion for FinTech & payment systems.
• Familiarity with CI/CD, DevOps practices, and infrastructure management.
• Knowledge of payment protocols and financial regulations (preferred but not mandatory)

Main Technical Skills :

• Backend : Ruby on Rails, PostgreSQL
• Infrastructure : GCP, AWS, Terraform (fully automated infrastructure)
• Security : Zero-trust security protocol managed via Teleport

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Strong Lead Product Designer/ Sr product designer/ Product design manager Profile

Mandatory (Experience 1): Must have a minimum 6+ years of hands-on Product Design experience with product companies

Mandatory (Experience 2): Must have experience leading a team or mentoring junior designers (not a pure people manager)

Mandatory (Design Craft): Strong design craft with deep expertise in UX, interaction design, design systems, prototyping, problem-solving, and user-centered workflows. Should be able to individually assess and elevate design quality.

Mandatory (Collaboration): Proven ability to collaborate closely with Product, Engineering, Research, and cross-functional teams. Must have driven design-led projects, influenced product roadmap, and balanced short-term and long-term design priorities.

Mandatory (Portfolio): Portfolio or team-led work showing shipped, real-world product impact, improved user journeys, solved UX breakage, and scaled design quality across multiple products/features.

Mandatory (Company) - Well funded / Top Product Companies

Mandatory (Note): CTC is not flexible, ESOP can be based on candidate current compensation structure

Mandatory (Role): This is mix role (Team management + Hands-on)\

Role – Sr. Devops Engineer

Location - Bangalore

Experience 5+ Years

Responsibilities

• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management activities.
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Incidence management and root cause analysis.
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members 
• Monitoring and measuring customer experience and KPIs

Requirements

• 5-6 years of relevant experience in a Devops role.
• Good knowledge in cloud technologies such as AWS/Google Cloud.
• Familiarity with container orchestration services, especially Kubernetes experience (Mandatory) and good knowledge in Docker.
• Experience administering and deploying development CI/CD tools such as Git, Jira, GitLab, or Jenkins.
• Good knowledge in complex Debugging mechanisms (especially JVM) and Java programming experience (Mandatory)
• Significant experience with Windows and Linux operating system environments
• A team player with excellent communication skills.

Job Description:

Strong on C++, Linux Background

Strong on Algorithms

Hands on experience on Data Structure & Multithreading