Data Engineer

Job Title : AI Engineer

Experience : 2+ Years

Location : Mumbai (Onsite)

Employment Type : Full-Time

Reports To : AI Architect

About the Role :

We are looking for an AI Engineer with 2+ years of experience to design, assess, validate, and deploy AI solutions for enterprise clients. This is a hands-on role focused on building scalable, production-ready AI systems aligned with business outcomes.

The ideal candidate should enjoy solving complex problems, working with emerging AI technologies, and translating business needs into practical AI solutions.

Mandatory Skills :

Python, Large Language Models (LLMs), Generative AI, AI Agents/Agentic Workflows, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, OpenAI APIs (or equivalent), Vector Databases, REST APIs, AI Workflow Orchestration, Client-Facing Experience, and Strong Analytical & Problem-Solving Skills.

Key Responsibilities :

• Analyze and improve existing AI workflows, LLM implementations, and AI agents.
• Design AI solutions and agent workflows aligned with business objectives.
• Define and implement AI guardrails, governance practices, and risk controls.
• Build evaluation frameworks to measure accuracy, reliability, latency, and cost efficiency.
• Ensure AI systems are scalable, secure, and production-ready.
• Work closely with stakeholders and communicate technical concepts clearly.

Required Skills & Qualifications :

• 2+ years of experience in AI/ML Engineering, Generative AI, Machine Learning, or related domains.
• Strong analytical thinking and problem-solving skills with a systems-oriented mindset.

Hands-on experience with :

• Large Language Models (LLMs)
• AI Agents and Agentic workflows
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI workflow orchestration

Strong proficiency in :

• Python
• REST APIs
• Data structures and algorithms
• Experience working with:
• LangChain or similar frameworks
• OpenAI APIs or equivalent AI platforms
• Vector databases
• Embedding models

Understanding of :

• AI governance
• Model evaluation techniques
• Responsible AI principles
• Strong written and verbal communication skills.

Preferred Skills :

• Experience in client-facing or consulting environments.
• Exposure to enterprise AI implementations and production deployments.

Experience with :

• Cloud platforms (AWS, Azure, or GCP)
• Docker and containerized deployments
• MLOps practices
• AI monitoring and observability tools
• Exposure to regulated or high-risk industries is a plus.

Educational Qualification :

• Bachelor's degree in Computer Science, Engineering, AI, Data Science, or related field.
• Equivalent practical experience with strong projects and technical expertise may also be considered.

About the Role

We’re looking for a Senior Software Engineer who takes ownership seriously, someone who

designs solutions, ships them, and stands behind them in production. You’ll work across a

technically interesting stack on systems that process millions of provider records.

This is a role with real scope: you’ll influence architecture, shape engineering practices, and

work directly with product and leadership to solve hard problems in a domain that genuinely

matters.

Problems You’ll Solve

Healthcare’s provider data problem is a hard distributed systems problem. Hundreds of primary

sources state boards, payers, federal registries each with their own schema, SLA, and failure

mode. Downstream, real credentialing and network decisions depend on whatever truth we can

surface.

API contract stability at velocity. You’re building a platform hundreds of integrations depend

on. How do you evolve a Quarkus/REST API, adding resources, deprecating fields, shifting data

models without breaking consumers? Contract-first design, versioning strategy, and backward

compatibility aren’t theoretical here.Integration reliability at scale. Upstream sources go down, change schemas, and return dirty

data. You’ll build the patterns that absorb that chaos idempotent consumers, dead-letter queues,

circuit breakers, and reconciliation pipelines on top of Kafka and Spanner.

Entity resolution on messy real-world data. Deduplicating and reconciling provider records

across hundreds of heterogeneous sources, where a wrong merge has downstream

consequences. MDM patterns, confidence scoring, and deterministic vs. probabilistic matching

at scale.

AI-augmented velocity without regression. We use Cursor and Claude Code as force

multipliers. The engineering problem is building review culture, eval frameworks, and test

coverage that keeps quality high as output volume increases.

Observability for a data platform, not just a service. Uptime isn’t enough; you need to know

when a provider record is stale, inconsistent, or wrong. You’ll instrument data quality and

lineage, not just p99 latency.

What We’re Looking For

Engineering fundamentals

* 8+ years building and maintaining production-grade systems including systems where

your API is someone else’s dependency and breaking it has real downstream

consequences

* Track record of shipping high-quality software in fast-paced environments you define the

solution, not just implement a spec

* Strong engineering fundamentals: testing, clean code, maintainability, and performance

optimization

* Experience improving system reliability you’ve debugged hard production problems and

made them not happen again, with SLOs and alerting to prove it

* Comfort mentoring earlier-career engineers and influencing technical direction

API & architecture depth

* Deep experience designing and evolving APIs under active consumers: versioning

strategy, backward compatibility, and contract-first thinking

* Fluency across API paradigms REST, GraphQL, gRPC, and async/event-driven APIs

(webhooks, Kafka topics as contracts) and the judgment to know when each is the right

tool

* Hands-on experience with service-oriented and distributed architectures you’ve worked

across SOA, microservices, and event-driven patterns and can make principled tradeoffs

between them based on coupling, latency, and operational complexity

* Experience designing for API consumers as first-class stakeholders SDK ergonomics,

pagination, rate limiting, error semantics, and documentation as part of the contract, not

an afterthought

* Experience with integration patterns at scale you’ve built or maintained systems that

aggregate and normalize data from many heterogeneous upstream sources, and you

understand the reliability and consistency tradeoffs that come with it: circuit breakers, retry

strategies, idempotency, eventual consistency

Data-intensive systems• Strong data modeling instincts you understand the difference between a schema that’s

easy to write and one that’s easy to query, evolve, and trust at scale

* Experience with high-throughput, event-driven systems: you understand ordering

guarantees, consumer lag, and failure modes in Kafka-like architectures

* Strong sense of data quality: lineage, freshness, and correctness matter as much to you

as throughput

AI-era engineering

* In an AI-augmented engineering environment, you write less and review more you’re

skeptical of generated code in the right ways, and you use that leverage to ship 2–3x

what a non-AI-fluent engineer would

* Fluency with AI-assisted engineering tools (Cursor, Claude Code, MCP servers) this is

part of how we work, not a nice-to-have

Communication & compliance

* Strong written and verbal communication you can explain a technical tradeoff to an

engineer and a product manager in the same conversation

* Experience with sensitive data and security best practices (PII, access controls) in

regulated or compliance-adjacent environments

Nice to Have

* Experience building or operating AI/LLM pipelines in production (not just prototypes)

including eval frameworks, fallback behavior, and monitoring for non-deterministic outputs

* Experience with entity resolution or MDM systems at scale deduplicating messy

real-world data across disparate sources

* Familiarity with healthcare credentialing workflows

* Familiarity with healthcare, compliance, or regulated environments

Technologies & Tools

Java 21 / Quarkus · React / TypeScript · GCP (Spanner, BigQuery) · Kafka · Docker /

Kubernetes · GitHub Actions · Sentry · REST / GraphQL / gRPC · Cursor / Claude

Code / Codex

We’re Hiring: Estimator – Exterior Windows, Doors & Storefronts 🏗️

📍 Location: Hyderabad, India

💼 Type: Full-Time | Reports to Estimating Manager

✨ Key Responsibilities:

🔹 Read & analyze architectural drawings 📐

🔹 Perform quantity takeoffs & prepare cost estimates 💰

🔹 Use AutoCAD, Excel, OST & Bluebeam for estimates 💻

🔹 Coordinate with vendors & subcontractors 🤝

🔹 Support project managers during preconstruction 🏢

🔹 Maintain organized estimate data 📁

🎓 Qualifications:

✅ Bachelor’s in Construction / Engineering / Architecture

✅ 2–3 yrs experience in glazing, façade, or exterior systems

✅ Proficient in AutoCAD & Excel

✅ Knowledge of OST, Bluebeam & Revit (plus)

⭐ Preferred:

🏢 Experience with curtain wall, storefront, window wall & doors

🧠 Strong analytical, math & organizational skills

⚡ Ability to multitask & meet deadlines

We are looking for a professional Real Estate Agent to be an intermediary between sellers and buyers. Real Estate Agent responsibilities include marketing listings and providing guidance to buyers and sellers. This is a great opportunity for someone looking to grow their career in real estate.

Responsibilities

• Provide guidance and assist sellers and buyers in marketing and purchasing property for the right price under the best terms
• Determine clients’ needs and financials abilities to propose solutions that suit them
• Intermediate negotiation processes, consult clients on market conditions, prices, mortgages, legal requirements and related matters, ensuring a fair and honest dealing
• Perform comparative market analysis to estimate properties’ value
• Display and market real property to possible buyers
• Prepare necessary paperwork (contracts, leases, deeds, closing statements etc)
• Manage property auctions or exchanges
• Maintain and update listings of available properties
• Cooperate with appraisers, escrow companies, lenders and home inspectors
• Develop networks and cooperate with attorneys, mortgage lenders and contractors
• Promote sales through advertisements, open houses and listing services
• Remain knowledgeable about real estate markets and best practices

Requirements and skills

• Proven working experience as a Real Estate Agent or Real Estate Salesperson
• Proven track of successful sales record
• Ability to work independently combined with excellent interpersonal skills
• Strong sales, negotiation and communication skills
• Pleasant and trustworthy
• MS Office familiarity
• Real estate agent’s or broker’s licence

About Team:

CaratLane's mission is to help customers express their emotions through jewellery. Consumer Experience Technology team is an enabler to deliver the exceptional Consumer Experience and WoW business features in large scale website, apps and backend systems.

What do we want:

* 5 to 8 years of experience in Java and Spring Boot working with large scale backend applications

* Expertise in PostgreSQL and any of caching databases

* Experience in developing RESTful/GraphQL APIs and microservices based applications

* Good problem solving and debugging skills.

* Exposure on event-driven, asynchronous I/O

* Good knowledge of engineering excellence: Unit Testing/TDD, Code quality, Documentation, CI&CD

* Experience in non-functional requirements (Scalability, Performance optimisation, Security)

* Experience is Linux development and AWS ecosystem tools

We are looking for an experienced Social Media Executive to assist in the planning, execution and optimization of our online marketing efforts for our d2c women fashion brand. Individual should be experienced preferably from fashion industry.

Immediate joining preferred.

Job Location: Kandivali West, Mumbai (western line candidate)

Job Type: Work From Office, Full-Time

Exp: 2-3 years

Responsibilities of Social Media Executive:

• Identify target audiences, objectives and desired outcomes of marketing campaign
• Assisting in photoshoots, product styling, mood boards, product naming and descriptions and creatives for social media
• Research and develop marketing strategy, and evaluate success strategy
• Develop content of marketing campaigns
• Manage the brand’s website and e-commerce destination, as well as spearhead monthly email newsletters
• Identify and develop relationships with key digital influencers
• Work with social media team and align strategy across relevant platforms including Facebook, Instagram, Twitter and Pinterest; identify and prioritize new and relevant channels
• Day-to-day content planning with colleagues, creation, posting and management across the channels

Qualifications:

• Degree in marketing or related field
• Experience in social media marketing, influencer marketing, content writing.
• Strong analytical, communication, time-management and creativity skills
• Good English communication and writing skills required; the ability to understand, help define, and articulate the fashion brand is essential
• Immediate joining preferred