DFT Engineer

Role Proficiency:

This role requires proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. This position demands independence and proficiency across various data domains. Expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including the ability to calculate processing costs and address performance issues. A solid understanding of DevOps and infrastructure needs is also required.

Skill Examples:

1. Proficiency in SQL Python or other programming languages used for data manipulation.
2. Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF.
3. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery).
4. Conduct tests on data pipelines and evaluate results against data quality and performance specifications.
5. Experience in performance tuning.
6. Experience in data warehouse design and cost improvements.
7. Apply and optimize data models for efficient storage retrieval and processing of large datasets.
8. Communicate and explain design/development aspects to customers.
9. Estimate time and resource requirements for developing/debugging features/components.
10. Participate in RFP responses and solutioning.
11. Mentor team members and guide them in relevant upskilling and certification.

Knowledge Examples:

1. Knowledge of various ETL services used by cloud providers including Apache PySpark AWS Glue GCP DataProc/Dataflow Azure ADF and ADLF.
2. Proficient in SQL for analytics and windowing functions.
3. Understanding of data schemas and models.
4. Familiarity with domain-related data.
5. Knowledge of data warehouse optimization techniques.
6. Understanding of data security concepts.
7. Awareness of patterns frameworks and automation practices.

Additional Comments:

# of Resources: 22 Role(s): Technical Role Location(s): India Planned Start Date: 1/1/2026 Planned End Date: 6/30/2026

Project Overview:

Role Scope / Deliverables: We are seeking highly skilled Data Engineer with strong experience in Databricks, PySpark, Python, SQL, and AWS to join our data engineering team on or before 1st week of Dec, 2025.

The candidate will be responsible for designing, developing, and optimizing large-scale data pipelines and analytics solutions that drive business insights and operational efficiency.

Design, build, and maintain scalable data pipelines using Databricks and PySpark.

Develop and optimize complex SQL queries for data extraction, transformation, and analysis.

Implement data integration solutions across multiple AWS services (S3, Glue, Lambda, Redshift, EMR, etc.).

Collaborate with analytics, data science, and business teams to deliver clean, reliable, and timely datasets.

Ensure data quality, performance, and reliability across data workflows.

Participate in code reviews, data architecture discussions, and performance optimization initiatives.

Support migration and modernization efforts for legacy data systems to modern cloud-based solutions.

Key Skills:

Hands-on experience with Databricks, PySpark & Python for building ETL/ELT pipelines.

Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).

Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).

Experience with data modeling, schema design, and performance optimization.

Familiarity with CI/CD pipelines, version control (Git), and workflow orchestration (Airflow preferred).

Excellent problem-solving, communication, and collaboration skills.

Skills: Databricks, Pyspark & Python, Sql, Aws Services

Must-Haves

Python/PySpark (5+ years), SQL (5+ years), Databricks (3+ years), AWS Services (3+ years), ETL tools (Informatica, Glue, DataProc) (3+ years)

Hands-on experience with Databricks, PySpark & Python for ETL/ELT pipelines.

Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).

Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).

Experience with data modeling, schema design, and performance optimization.

Familiarity with CI/CD pipelines, Git, and workflow orchestration (Airflow preferred).

******

Notice period - Immediate to 15 days

Location: Bangalore

Role Overview

We’re looking for a Content Developer who can transform complex ideas into engaging

learner-centric digital content. You’ll work closely with instructional designers, subject

experts, and creative teams to develop clear, compelling, and interactive educational

materials.

Key Responsibilities

• Create engaging learning content, scripts, and assessments

• Collaborate with design and production teams for visual alignment

• Simplify complex concepts into learner-friendly formats

• Edit and proofread content to ensure clarity and consistency

• Research topics to ensure content accuracy and depth

Required Skills & Qualifications

• Bachelor’s/Master’s in English, Education, or related field, Mass

Communication, Journalism, MA in English Literature.

• 1–3 years of experience in content development or e-learning

• Strong writing, research, and editing skills

• Creative thinking and storytelling ability

• Familiarity with e-learning tools is a plus

Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.

About AISpire360

We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.

The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.

We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.

What You'll Own

You are the technical anchor for the voice agent. You will be responsible for:

Real-time voice system

• Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
• STT and TTS configuration, voice tuning, language and accent handling
• Turn-taking, barge-in, end-of-speech detection, latency budgets
• Driving end-to-end voice latency below 700ms (we currently target 600ms)
• Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
• Silence-detection optimization for outbound calls (95% silence-discount realization)

HIPAA + PHI infrastructure

• BAA-compliant hosting architecture (AWS-based, BAA in place)
• PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
• Encryption in transit and at rest, audit logging, 7-year retention compliance
• Access controls, RBAC, kill-switch infrastructure
• HIPAA Security Rule compliance for technical safeguards

Agent orchestration and tools

• LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
• Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
• Multi-turn conversation state management
• Multi-topic call handling and structured task generation
• Safety-critical keyword detection and escalation routing

Integrations

• EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
• Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
• Calendar integration (Google Calendar, Microsoft 365, Cal.com)
• SMS and email gateways (Twilio, SendGrid)
• Practice-specific webhooks for task manager surfacing

Multi-tenant platform foundations

• Per-practice configuration loading (specialty profile + practice profile)
• Per-tenant isolation, data segregation
• Specialty-specific intake schemas, triage rules, safety keywords
• Production observability (tracing, metrics, latency monitoring per practice)

Required Experience

You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:

• 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
• Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
• HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
• AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
• AWS Comprehend Medical or equivalent PHI detection experience.
• Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
• Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
• LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
• Python or TypeScript fluency. Production code, not scripts.
• API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).

Nice to Have

• Healthcare domain experience (EHRs, clinical workflows, medical terminology)
• Prior auth or eligibility verification workflow experience
• Multi-tenant SaaS architecture experience
• SOC 2 audit experience
• Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
• Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
• Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)

What This Engagement Looks Like

• Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
• Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
• Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
• You sign a BAA with us. This is non-negotiable due to the nature of the work.
• You are eligible for future equity grants as we formalize the team structure.
• Direct working relationship with our CTO (London-based) and founders (NYC and India).
• Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.

How We'll Evaluate You

Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.

1. Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
2. Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
3. System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
4. Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.

Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.

What We Will NOT Accept

• Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
• Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
• "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
• Engagement structures that conflict with this being your primary work.

How to Apply

Send a brief message with:

1. A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
2. Two or three sentences on why this role fits you specifically — not a generic cover letter.
3. Your current compensation expectation in USD per month.
4. Your earliest start date and current time-zone availability.

We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.

The Relationship Manager - Retail Sales is responsible for driving business growth through client acquisition, agent

management, and achieving Gross Written Premium (GWP) targets. The role involves recruiting, onboarding, and supporting

agents while maintaining strong relationships with clients and partners. The individual will ensure adherence to business

processes, provide accurate quotations, and facilitate the sale of insurance products to achieve sales and revenue goals.

1. Client Acquisition and Sales Target Achievement:

 Conduct regular visits to societies, buildings, colonies, and industrial areas to introduce Mialtus’s insurance products.

 Convince potential clients to purchase insurance policies, guiding them through the quotation, closure, and onboarding

process.

 Achieve individual sales targets by visiting a minimum of five societies daily and maintaining a proactive client

engagement strategy.

 Focus on maximizing GWP across various insurance products to meet monthly sales goals.

2. Agent Management and Recruitment:

 Maintain a network of 40-45 agents, ensuring at least 60% remain active monthly.

 Conduct daily follow-ups and regular visits (4-5 agents daily) to drive new business and renewals.

 Source, recruit, and onboard new agents, providing handholding and orientation to build a strong distribution base.

 Engage agents and partners through calls and meetings, providing competitive quotations to facilitate business growth.

3. Quotation and Policy Management:

 Provide accurate and competitive quotations to clients and agents based on their requirements.

 Negotiate and finalize quotations to effectively convert leads into policy sales.

 Collaborate with the underwriting team for health insurance policies to ensure accurate proposals and compliance.

 Conduct quality checks on proposed policies to maintain alignment with company standards.

4. GWP Target Achievement:

 Scale up business volumes through effective agent activation and client engagement.

 Drive GWP growth across various lines, with a specific focus on health insurance through agent partnerships.

 Ensure 100% achievement of monthly GWP targets and contribute to the company’s overall revenue objectives.

5. Relationship Management:

 Build and maintain strong relationships with agents and clients to foster collaboration and enhance productivity.

 Provide training and support to agents to improve performance and increase business output.

 Maintain long-term partnerships with clients by offering exceptional service and addressing their needs effectively.

6. Reporting and Compliance:

 Prepare daily reports on client interactions, leads generated, and policies sold.

 Share weekly MIS reports with management, detailing sales performance and activity metrics.

 Ensure compliance with established business processes and update business details in relevant portals to maintain high

operational standards.

7. Business Quality Maintenance:

 Clearly explain policy terms, conditions, and exclusions to clients to ensure informed decisions.

 Maintain high standards of business hygiene by ensuring accuracy and eliminating errors or malpractice in processes.

JOB DESCRIPTION:

 Currently hiring for the position of Android Developer responsible for developing app from scratch.

We are looking to recruit a candidate for a role that will require:

● Translate design and wireframes into code

● Design, build, and maintain high performance, reusable, and reliable code

● Identify solutions through research and collaboration that resolves the root of problems as they arise

● Unit testing code

● Experience with cloud message APIs and usage of push notifications

Requirement

5+ years’ strong development experience in android

Experience using RESTful web services within mobile applications

∙ Strong knowledge of Android UI design principles, patterns, and best practices

∙ Ability to understand business requirements and translate them into technical requirements

∙ Experience with code versioning control, such as bitbucket/git

Experience in writing code using kotlin is an advantage

Education: Engineering

Work experience: 2 years relevant experience

Compensation: Based on Industry Standards

We run a fast-paced, dynamic business and the challenges we face and solve every day are unique. We are looking for someone who can adapt quickly, handle multiple roles and is enthusiastic about growing an exciting Cosmetics Brand across multiple platforms. This role reports to the Vice President, eCommerce and is based out of Chandivali.

If you're excited about going beyond your comfort zone and taking your existing skillset to the next level while creating a fast-growing business.

Position: Content Management Trainee

Location: Goregaon West

As a Trainee in content Management, you will play a key role in ensuring our content publishing goals are met. You’ll help maintain a content calendar and ensure that content is published consistently as per the set monthly targets. Your primary duty will be to work according to the standardised workflow processes and take ownership of delegating assignments to Content Writers, Editors, and Publishers. This entry-level position is an excellent opportunity to gain hands-on experience in content management.

Responsibilities:

● Closely work with the content & SEO team to align the content requirements and deliverables every month

● Manage workflow processes as per the set standardised workflow

● Allotment of tasks to the members of the Content and Editing team.

● Review content for accuracy, grammar, and style. Ensure that all content aligns with brand guidelines and quality standards with the help of tools.

● Executing strategies in content production.

● Facilitate feedback to Writers and Editors about meeting

● Attend online meetings

Requirements:

● A Bachelor’s degree in Management, Communication, or a related field.

● Strong written and verbal communication skills.

● Proficiency in Microsoft Office Suite

● Basic knowledge of SEO/Digital Marketing would be a plus.

● Attention to detail and a commitment to quality.

Career Path:

This role is an entry point into the field of content management. Depending on performance, skills development, and company opportunities, successful trainees may progress to roles such as content associates.

Note: The training period would be for six months and the salary for the same would be 10k per month.

• Identify target audience and grow our email list
• Design and implement direct email marketing campaigns
• Proofread emails for clarity, grammar and spelling
• Ensure mobile-friendly email templates
• Write newsletters including all company updates
• Upgrade our email templates using graphics, personalization and advanced features
• Ensure prompt and accurate communication with clients via email to minimize unsubscribes
• Create email databases for lead generation

• 3-6 years of relevant work experience in a Data Engineering role.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• A good understanding of Airflow, Spark, NoSQL databases, Kafka is nice to have.
• Premium Institute Candidates only