Recruit Square

We are looking for AI Interns from IIT and Top Colleges of India who have worked on AI Based projects during their tenure or have any experience in AI.

Infrastructure Engineer – Database & Storage

Responsibilities

• Design and maintain PostgreSQL, OpenSearch, and Azure Blob/S3 clusters.
• Implement schema registry, metadata catalog, and time-versioned storage.
• Configure read replicas, backups, encryption-at-rest, and WORM (Write Once Read Many) compliance.
• Optimize query execution, indexing, and replication latency.
• Partner with DevOps on infrastructure as code and cross-region replication.

Requirements

• 6 + years database / data-infrastructure administration.
• Mastery of indexing, partitioning, query tuning, sharding.
• Proven experience deploying cloud-native DB stacks with Terraform or Helm.

Frontend Engineer – Admin Console & Workflow Studio

Responsibilities

• Build responsive UI in React / TypeScript / Tailwind CSS.
• Implement a visual workflow composer (drag-and-drop DAG builder).
• Integrate data from telemetry, governance, and Kernel APIs into rich dashboards.
• Optimize for accessibility, performance, and enterprise responsiveness.

Requirements

• 4 + years frontend engineering.
• Deep experience with state management (Redux / Zustand) and API integration.
• Eye for UX and interaction design for technical admin users.

Data Engineer – Validation & Quality

Responsibilities

• Build rule-based and statistical validation frameworks using Pandas / NumPy.
• Implement contradiction detection, reconciliation, and anomaly flagging.
• Design and compute confidence metrics for each evidence record.
• Automate schema compliance, sampling, and checksum verification across data sources.
• Collaborate with the Kernel to embed validation results into every output artifact.

Requirements

• 5 + years in data engineering, data quality, or MLOps validation.
• Strong SQL optimization and ETL background.
• Familiarity with data lineage, DQ frameworks, and regulatory standards (SOC 2 / GDPR).

We are seeking a seasoned Engineering Lead with deep expertise in workflow orchestration systems, stateful execution engines, and distributed task runtimes. You will architect the next generation of our DAG-based runtime, develop the infrastructure for agentic workflow composition, and drive execution excellence across engineering. This role combines hands-on systems design with technical leadership and team mentorship.

Key Responsibilities

1. Architect & Build the Swarm Runtime

• Design and implement a DAG-based orchestration engine using Temporal, Argo Workflows, or equivalent event-driven runtimes.
• Build a scalable primitive registry for tasks, operators, guards, and computational nodes.
• Architect a robust scheduler capable of handling event triggers, retries, backoffs, and distributed coordination.

2. Develop the Workflow Composition Layer

• Define and build a YAML/JSON-based DSL for describing agentic workflows, dependencies, and execution semantics.
• Create a schema-driven rules engine ensuring validations, model calls, parallelism, conditional branching, and approval gates are seamlessly integrated.

3. Orchestration Logic & Runtime Intelligence

• Implement orchestration logic that coordinates:
• Validation layers
• Model calls (LLMs, embedding engines, external APIs)
• Human-in-the-loop approval gates
• Stateful transitions and checkpointing
• Ensure deterministic execution, traceability, and safe rollback mechanisms.

4. Workflow Certification & Automated Testing

• Define certification standards for every workflow type, including:
• Functional correctness
• Latency and concurrency thresholds
• Error-handling expectations
• Observability and trace coverage
• Build automated regression test suites validating workflow integrity before deployment.

5. Engineering Leadership & Delivery

• Lead, mentor, and grow a team of backend and systems engineers.
• Drive sprint planning, reviews, engineering discipline, and roadmap execution.
• Own runtime delivery deadlines, cross-team coordination, and release quality.

6. Observability, Reliability & Production Excellence

• Instrument the runtime with observability hooks: metrics, tracing, structured logs, and execution heatmaps.
• Build robust retry logic, distributed locks, idempotency guards, and failover strategies.
• Improve runtime stability, throughput, and scale characteristics.

Requirements

Must-Have

• 8+ years of backend engineering experience building high-scale systems.
• 3+ years leading teams focused on workflows, automation, orchestration, or distributed runtimes.
• Deep understanding of:
• Stateful orchestration engines (Temporal, Step Functions, Argo, Airflow)
• Message queues, pub/sub systems, and event-driven patterns
• Retry logic, compensating transactions, and idempotent operations
• Distributed tracing, observability pipelines, and health checks
• Strong background in concurrent programming, async task management, and execution models.
• Hands-on experience with at least one systems language or backend stack (Python, Go, Rust, Node).

Nice-to-Have

• Experience building workflow DSLs or schema-driven interpreters.
• Familiarity with LLM pipelines, agentic runtimes, or AI-driven workflow automation.
• Knowledge of Kubernetes-based runtime environments and workflow controllers.
• Experience with pluggable architecture design, sandboxing, or execution policies.

What This Role Offers

• Ownership of the core execution engine powering Perceive Now’s intelligent automation platform.
• A high-impact leadership position shaping architectural strategy and engineering culture.
• The opportunity to solve cutting-edge problems at the intersection of orchestration, distributed systems, and AI.

We are looking for a Senior Backend Engineer with a strong background in building distributed, scalable, and high-performance backend systems. The ideal candidate has 6+ years of backend engineering experience, including 3+ years in microservices or distributed architecture, and deep expertise in Python, FastAPI, PostgreSQL, Redis, and async I/O patterns.

The candidate will own backend services end-to-end — from architecture and design to implementation, optimization, and production support — while working closely with cross-functional teams to deliver mission-critical systems.

Key Responsibilities

1. Backend Architecture & Development

• Architect, design, and implement backend services using Python (preferably FastAPI) with clean, maintainable, and scalable code.
• Develop microservice components, service communication layers, and distributed workflows.
• Build APIs and backend modules optimized for performance, fault tolerance, and low latency.

2. Distributed Systems & Scalability

• Design and maintain distributed systems capable of handling high throughput and large-scale operations.
• Implement inter-service communication patterns (REST, event-driven, message queues, pub/sub).
• Ensure system resiliency through redundancy, graceful degradation, and autoscaling strategies.

3. Asynchronous & Event-Driven Architecture

• Build async workflows, background tasks, and pipeline services leveraging asyncio or async frameworks.
• Develop event-driven components including producers, consumers, and event processors.
• Optimize I/O-heavy operations to maximize concurrency and throughput.

4. Data Storage, Pipelines & Caching

• Design relational schemas, write optimized SQL queries, and work with PostgreSQL performance tuning (indexes, partitions, query planning).
• Implement caching strategies, rate limiting, distributed locks, and session storage using Redis.
• Build data validation pipelines and compliance-driven data flows ensuring data correctness and auditability.

5. Security, Reliability & Observability

• Implement authentication, authorization, encryption, and secure API practices.
• Build monitoring, alerting, metrics, and tracing systems using modern observability tools.
• Diagnose production issues, identify bottlenecks, and drive long-term fixes and improvements.

6. Code Quality & Technical Leadership

• Conduct detailed code reviews and ensure engineering best practices across the team.
• Participate in technical roadmap planning, architectural discussions, and system design decisions.
• Mentor junior and mid-level engineers; drive a culture of technical excellence and ownership.

Required Qualifications

• 6+ years backend engineering experience.
• 3+ years building microservices or distributed systems.
• Strong expertise in Python and frameworks like FastAPI (or Flask/Django with async exposure).
• Deep understanding of async I/O, concurrency models, and asynchronous programming in Python.
• Strong experience with PostgreSQL (schema design, advanced queries, optimization).
• Hands-on experience with Redis for caching, queues, session management, and distributed patterns.
• Experience with event-driven architectures, message processing, or streaming systems.
• Solid understanding of system design, scalability principles, and API lifecycle management.
• Experience working with CI/CD pipelines, containerization (Docker), and cloud environments.

About the Role:

We are seeking an experienced Campaign Manager to lead the planning, execution, and optimization of digital marketing campaigns across multiple social media platforms. The ideal candidate is a strategic thinker with hands-on experience in digital advertising, content strategy, and lead generation—particularly across APAC, US, and UAE markets.

Key Responsibilities:

• Develop and execute digital marketing strategies across platforms such as Meta (Facebook, Instagram), LinkedIn, Google Ads, YouTube, TikTok, and X (Twitter).
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• Plan and manage end-to-end campaign lifecycles, including audience segmentation, ad creation, targeting, budgeting, and performance optimization.
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• Multi-Channel Campaign Management: Plan, execute, and optimize lead generation campaigns across various online and offline channels. This includes digital marketing (SEO/SEM, content marketing, social media marketing, email marketing, webinars, online advertising) and outbound activities (targeted outreach, industry events, networking).
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• Collaborate with creative teams to produce compelling and on-brand ad content (copy, visuals, and videos).
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•  Lead Generation Strategy Development: Define and implement comprehensive lead generation strategies encompassing learning/e-learning, localisation, and translation services, aligning with overall sales and marketing objectives. This includes identifying target audiences, understanding their needs, and determining the most effective channels to reach them.Manage lead generation campaigns across global markets with a strong focus on APAC, US, and UAE regions.
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• Performance Monitoring and Analysis: Track, measure, and analyze the performance of lead generation campaigns using relevant metrics. Provide regular reports and insights to the sales and marketing teams, recommending optimizations for improved results.
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• Optimize campaigns based on data-driven insights to improve efficiency and maximize ROI.
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• Content Strategy Collaboration: Work closely with the marketing team to develop compelling content that attracts and converts target prospects for learning/e-learning, localisation, and translation products/services.
• Market Research and Competitive Analysis: Conduct ongoing market research to identify new lead generation opportunities, understand industry trends in learning/e-learning, localisation, and translation, and analyze competitor activities.
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• Stay updated on emerging digital marketing trends, tools, and technologies to drive innovation.
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Required Skills & Qualifications:

• Bachelor’s degree in Marketing, Business, Communications, or a related field (Master’s degree preferred).
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• 5–8 years of experience in digital marketing campaign management or performance marketing.
• Strong understanding of lead generation strategies and digital funnels globally, particularly in APAC, US, and UAE markets.
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• Proficiency with marketing tools such as Google Ads Manager, Meta Business Suite, LinkedIn Campaign Manager, HubSpot, or similar platforms.
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• Excellent analytical skills with the ability to interpret campaign data and optimize accordingly.
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• Strong project management, communication, and collaboration skills.
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• Creative mindset with attention to detail and ability to work in fast-paced environments.
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Preferred Qualifications:

• Experience with B2B and B2C digital marketing campaigns.
• Experience with e-learning,Learning &development or training industries

Familiarity with marketing automation tools (HubSpot, Marketo, Pardot, etc.).

Physical Design Integration Engineer

Bengaluru, Karnataka, India

Role

Join our close-knit physical design team where you'll excel in synthesizing, placing, routing and integrating high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture.

Minimum Skills & Qualifications

10+ years of physical design, integration & physical verification experience.

Strong knowledge of block level and full-chip physical verification methodology.

Experience with the complete physical design flow.

Skills in Design Compiler, Fusion Compiler, ICC2 or similar physical design tools

Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.

Expert with IR/EM analysis and resolution

Good understanding of full chip floor planning and integration.

Strong experience in full chip timing closure

Demonstrated ability to work with RTL teams to optimize for physical design

Ability to independently debug and resolve physical verification Issues

BS or MS in Electrical Engineering

Preferred Skills:

Knowledge of Synopsys tool suite is a plus.

Good scripting skills with languages like Tcl and Python. Ability to make flow enhancements.

About IntraIntel.ai

At IntraIntel.ai, we are building a next-generation, multi-tenant AI platform that enables organizations across industries—healthcare, clinical research, manufacturing, and textiles—to harness the power of intelligent automation and Generative AI. Our platform seamlessly integrates AI agents, RAG pipelines, and LLM-based workflows into a unified, scalable, and secure ecosystem hosted on Google Cloud Platform (GCP).

We are looking for a Full Stack Developer with deep experience in AI-integrated applications, cloud-native architecture, and end-to-end platform development—someone passionate about building intelligent systems that push the boundaries of innovation.

Key Responsibilities

1. Full Stack Development

• Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.
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• Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.
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• Optimize backend logic for scalability, modularity, and high availability on GCP.
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• Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

• Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.
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• Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.
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• Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI/CD

• Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub/Sub.
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• Set up and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.
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• Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.
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4. UI/UX Collaboration

• Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.
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• Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.
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• Work with designers to ensure front-end consistency across multi-tenant environments.
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5. Performance, Security & Monitoring

• Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.
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• Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.
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• Participate in architectural discussions to enhance system observability and security posture.
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Required Skills & Qualifications

Technical Proficiency

• Backend: Node.js, Express.js, Python (for AI integration), REST/GraphQL APIs
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• Frontend: React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js
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• Database: PostgreSQL, MongoDB, Firestore, Redis
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• Cloud: Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage
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• AI Integration: LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)
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• DevOps: Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions
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• Version Control: Git, Bitbucket
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• UI/UX Collaboration: Figma, Material UI, responsive design principles
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Experience & Attributes

• 5+ years of experience in full-stack development, preferably on AI or SaaS platforms.
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• Strong understanding of multi-tenant architectures and modular design principles.
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• Proven experience in CI/CD pipeline automation and infrastructure management.
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• Experience in integrating AI services, chatbots, or intelligent recommendation systems.
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• Strong problem-solving skills and ability to collaborate in a fast-paced, cross-functional environment.
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• Excellent communication skills and documentation habits.
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Preferred Qualifications

• Prior experience working with AI-driven SaaS or agentic AI platforms.
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• Familiarity with PromptOps / MLOps practices and versioning workflows for LLMs.
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• Experience in data governance and security compliance (HIPAA, GDPR, or SOC2).
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• Cloud certifications (GCP Professional Cloud Developer / Architect) are a plus.
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Why Join IntraIntel.ai

• Work on cutting-edge AI agentic architectures with real-world enterprise impact.
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• Join a fast-growing, innovation-driven team shaping the future of AI platforms.
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• Build products at scale across diverse industries with a unified mission.
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• Collaborative and flexible environment encouraging ownership and creativity.
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As the Senior Executive-Account Manager, you will be responsible for developing, implementing, and optimizing multi-channel lead generation campaigns to build a robust pipeline for our sales team. You will demonstrate market understanding of the Talent/Capability Development (learning/e-learning, custom learning, localization, and translation) services/produts and markets and will be adept at customer engagement. This role demands a candidate with analytical prowess to interpret data and drive decisions, coupled with strong collaboration skills to work effectively with sales and marketing.

Roles &Responsbilities -

•  Lead Generation Strategy Development: Define and implement comprehensive lead generation strategies encompassing learning/e-learning, localisation, and translation services, aligning with overall sales and marketing objectives. This includes identifying target audiences, understanding their needs, and determining the most effective channels to reach them.

•    Multi-Channel Campaign Management: Plan, execute, and optimize lead generation campaigns across various online and offline channels. This includes digital marketing (SEO/SEM, content marketing, social media marketing, email marketing, webinars, online advertising) and outbound activities (targeted outreach, industry events, networking).

•    Content Strategy Collaboration: Work closely with the marketing team to develop compelling content that attracts and converts target prospects for learning/e-learning, localisation, and translation products/services.

•    Marketing Automation and CRM Management: Utilize marketing automation platforms and CRM systems to manage lead generation processes, track campaign performance, nurture leads, and ensure seamless handoff to the sales team.

•    Performance Monitoring and Analysis: Track, measure, and analyze the performance of lead generation campaigns using relevant metrics. Provide regular reports and insights to the sales and marketing teams, recommending optimizations for improved results.

•    Collaboration with Sales: Work closely with the Sales Manager and sales team to understand their needs, ensure lead quality, and optimize the lead-to-opportunity conversion process for learning/e-learning, localisation, and translation products/services.

•    Market Research and Competitive Analysis: Conduct ongoing market research to identify new lead generation opportunities, understand industry trends in learning/e-learning, localisation, and translation, and analyze competitor activities.

•    Budget Management: Manage the lead generation budget effectively, ensuring optimal ROI on marketing and outreach activities.

•    Vendor Management: Manage relationships with external vendors or agencies supporting lead generation efforts.

•    Staying Updated: Keep abreast of the latest trends and best practices in lead generation, digital marketing, and sales enablement for learning/e-learning, localisation, and translation product/service-based industries.

Bachelor's degree in Marketing, Business Administration, or a related field.

Qualification and Experience -

•    Minimum of 8-10 years of experience in pre-sales/lead generation, preferably in the learning/e-learning, localisation, and translation industry or a related technology sector.

•    Proven track record of success in developing and executing lead generation strategies, preferably with experience in the B2B sector.

•    Experience in generating leads for technology products, SaaS solutions, or service-based offerings is highly desirable.

•    Familiarity with the learning/e-learning, localisation, and translation industries is a significant advantage.

•    Strong understanding of digital marketing principles and channels.

•    Experience with marketing automation platforms and CRM systems.

•    Excellent analytical skills and the ability to interpret data to drive decisions.

•    Strong project management and organizational skills.

•    Excellent written and verbal communication skills.

•    Ability to work independently and collaboratively within a team environment.

•    Proactive, results-oriented, and data-driven approach. 

•   Willingness to travel as required by business.

•   Deep understanding of AGILE methodologies and extensive experience working within a learning, educational technology, or complex content delivery environment.