50+ Python Jobs in India

🚀 Hiring: IoT Integration Software Engineer – Digital Products

🌍 Remote | Contract Position

⏳ Immediate Joiners Preferred

💼 Experience: 4+ Years (2+ Years Relevant IoT Experience)

We are seeking an experienced IoT Integration Software Engineer with hands-on expertise in AWS IoT Core, AWS IoT SiteWise, and AWS IoT Greengrass to build and support scalable edge-to-cloud IoT solutions.

Required Skills

✅ AWS IoT Core

✅ AWS IoT SiteWise

✅ AWS IoT Greengrass

✅ Python / TypeScript

✅ Telemetry & Time-Series Data Ingestion

✅ Industrial IoT / OT Environments

✅ Event-Driven & Streaming Architectures

What You'll Do

🔹 Design and maintain IoT ingestion pipelines from edge devices to cloud platforms.

🔹 Develop and manage SiteWise asset models, hierarchies, and data semantics.

🔹 Implement secure edge integrations using AWS IoT Greengrass.

🔹 Enable telemetry ingestion, validation, monitoring, and diagnostics.

🔹 Build application-ready interfaces through APIs and event streams.

🔹 Troubleshoot ingestion, telemetry, and asset-mapping issues.

🔹 Collaborate with software, hardware, and platform engineering teams.

Candidate Submission Requirement

To support technical screening, candidates must provide a short write-up along with their resume covering:

📌 AWS IoT project details

📌 Connected assets/devices and their use cases

📌 Telemetry ingestion architecture and data flow

📌 SiteWise asset modeling, hierarchies, and semantics

📌 Purpose and implementation of AWS IoT Greengrass

📌 Individual ownership and contributions

📌 Key challenges, solutions, and business outcomes

Minimum 8+ years of hands-on experience in Site Reliability Engineering (SRE) and/or DevOps.

Proven experience in a Technical Lead/Team Lead role.

Strong expertise in Linux administration and troubleshooting.

Hands-on experience with automation and scripting (Shell, Python, PowerShell, etc.).

Strong knowledge of DevOps tools and CI/CD pipelines.

Experience working on at least one major cloud platform: Azure, AWS, or GCP.

Experience managing production environments with a focus on availability, reliability, monitoring, and incident management.

Strong troubleshooting, problem-solving, and root cause analysis skills.

Job Title: Team Lead / Cloud Architect – Cloud Engineering Team

Department: Cloud / Platform Engineering

Location: [Bangalore / Onsite]

Reports To: Head of Engineering

Job Summary:

We are seeking a highly experienced Team Lead / Cloud Architect to lead our Cloud Engineering team responsible for building and maintaining scalable, secure, and high-performance cloud platforms for IoT and RF Mesh network systems.

The role involves defining cloud architecture, mentoring engineers, and driving end-to-end cloud platform design, ensuring that our solutions support large-scale device connectivity, data ingestion, analytics, and remote management.

Key Responsibilities:

1. Cloud Architecture & Design

• Define and own the architecture for cloud platforms supporting IoT and RF Mesh networks.
• Design for scalability, high availability, security, and fault tolerance across multi-region deployments.
• Select and implement cloud services, storage solutions, data pipelines, and microservices architectures.
• Ensure integration with device management systems, APIs, analytics, and operational dashboards.

2. Team Leadership & Mentorship

• Lead and mentor a team of cloud engineers, DevOps specialists, and backend developers.
• Assign tasks, conduct design/code reviews, and ensure adherence to best practices and standards.
• Foster knowledge sharing, technical excellence, and innovation within the team.

3. Development & Deployment Oversight

• Oversee CI/CD pipelines, automated deployments, and release management.
• Collaborate with IoT, firmware, and QA teams to integrate cloud and device systems.
• Implement monitoring, alerting, and logging frameworks for platform reliability.

4. Security, Compliance & Best Practices

• Ensure data security, encryption, identity, and access management across all cloud components.
• Align cloud architecture with industry standards, regulatory compliance (ISO, GDPR, etc.), and best practices.
• Conduct periodic architecture reviews and audits to ensure scalability and maintainability.

5. Cross-Functional Collaboration

• Work with product owners, field engineers, and system architects to align cloud capabilities with business goals.
• Provide technical guidance for new features, performance optimization, and cost efficiency.
• Collaborate with stakeholders to define SLAs, KPIs, and platform performance metrics.

Qualifications & Skills:

• Bachelor’s / Master’s degree in Computer Science, Electronics, or related field.
• 8–12 years of experience in cloud architecture, backend systems, or platform engineering, with at least 2–3 years in a leadership role.
• Hands-on experience with AWS, Azure, or GCP cloud services.
• Strong knowledge of microservices, serverless architecture, containerization (Docker, Kubernetes), and API design.
• Experience with IoT cloud platforms, data ingestion pipelines, and device management systems.
• Proficiency in programming / scripting languages such as Python, Java, Go, or Node.js.
• Strong understanding of CI/CD, DevOps practices, monitoring, and logging frameworks.
• Excellent problem-solving, analytical, and communication skills.

Preferred Attributes:

• Experience in large-scale IoT deployments, RF Mesh networks, or Smart Metering platforms.
• Knowledge of real-time data processing, MQTT/CoAP protocols, and cloud IoT standards.
• Familiarity with security frameworks, encryption, identity management, and regulatory compliance.
• Ability to balance strategic architecture planning with hands-on coding and mentoring.

Why Join Us:

• Lead the cloud platform for a nation-scale IoT network, connecting millions of devices.
• Collaborate with top engineers across hardware, firmware, and RF teams.
• Opportunity to define architecture, scalability, and reliability strategies for next-generation IoT solutions.
• Work in a fast-paced, innovation-driven environment with direct impact on real-world deployments.

Job Title: Team Lead / Cloud Architect – Cloud Engineering Team

Department: Cloud / Platform Engineering

Location: [Bangalore / Onsite]

Reports To: Head of Engineering

Job Summary:

We are seeking a highly experienced Team Lead / Cloud Architect to lead our Cloud Engineering team responsible for building and maintaining scalable, secure, and high-performance cloud platforms for IoT and RF Mesh network systems.

The role involves defining cloud architecture, mentoring engineers, and driving end-to-end cloud platform design, ensuring that our solutions support large-scale device connectivity, data ingestion, analytics, and remote management.

Key Responsibilities:

1. Cloud Architecture & Design

• Define and own the architecture for cloud platforms supporting IoT and RF Mesh networks.
• Design for scalability, high availability, security, and fault tolerance across multi-region deployments.
• Select and implement cloud services, storage solutions, data pipelines, and microservices architectures.
• Ensure integration with device management systems, APIs, analytics, and operational dashboards.

2. Team Leadership & Mentorship

• Lead and mentor a team of cloud engineers, DevOps specialists, and backend developers.
• Assign tasks, conduct design/code reviews, and ensure adherence to best practices and standards.
• Foster knowledge sharing, technical excellence, and innovation within the team.

3. Development & Deployment Oversight

• Oversee CI/CD pipelines, automated deployments, and release management.
• Collaborate with IoT, firmware, and QA teams to integrate cloud and device systems.
• Implement monitoring, alerting, and logging frameworks for platform reliability.

4. Security, Compliance & Best Practices

• Ensure data security, encryption, identity, and access management across all cloud components.
• Align cloud architecture with industry standards, regulatory compliance (ISO, GDPR, etc.), and best practices.
• Conduct periodic architecture reviews and audits to ensure scalability and maintainability.

5. Cross-Functional Collaboration

• Work with product owners, field engineers, and system architects to align cloud capabilities with business goals.
• Provide technical guidance for new features, performance optimization, and cost efficiency.
• Collaborate with stakeholders to define SLAs, KPIs, and platform performance metrics.

Qualifications & Skills:

• Bachelor’s / Master’s degree in Computer Science, Electronics, or related field.
• 8–12 years of experience in cloud architecture, backend systems, or platform engineering, with at least 2–3 years in a leadership role.
• Hands-on experience with AWS, Azure, or GCP cloud services.
• Strong knowledge of microservices, serverless architecture, containerization (Docker, Kubernetes), and API design.
• Experience with IoT cloud platforms, data ingestion pipelines, and device management systems.
• Proficiency in programming / scripting languages such as Python, Java, Go, or Node.js.
• Strong understanding of CI/CD, DevOps practices, monitoring, and logging frameworks.
• Excellent problem-solving, analytical, and communication skills.

Preferred Attributes:

• Experience in large-scale IoT deployments, RF Mesh networks, or Smart Metering platforms.
• Knowledge of real-time data processing, MQTT/CoAP protocols, and cloud IoT standards.
• Familiarity with security frameworks, encryption, identity management, and regulatory compliance.
• Ability to balance strategic architecture planning with hands-on coding and mentoring.

Why Join Us:

• Lead the cloud platform for a nation-scale IoT network, connecting millions of devices.
• Collaborate with top engineers across hardware, firmware, and RF teams.
• Opportunity to define architecture, scalability, and reliability strategies for next-generation IoT solutions.
• Work in a fast-paced, innovation-driven environment with direct impact on real-world deployments.
•  

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

SENIOR PYTHON DEVELOPER

Designation: Senior Python Django Developer 

Position: Senior Python Developer

Job Types: Full-time, Permanent

Pay: Up to ₹800,000.00 per year

Schedule: Day shift (On-site)

Supplemental Pay: Performance bonus, Yearly bonus

Ability to commute/relocate:  JP Nagar, Bangalore: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Experience: Back-end development: 5 years (Required)

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 5 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unit test, or factory boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture (  
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.
•  

We are looking for a skilled Full Stack Developer with 3–6 years of experience in software development, specializing in Python and/or Java. If you have strong programming skills, enjoy solving problems, and want to work on secure and scalable systems, we'd love to hear from you!

Location - Pune, Baner.

Interview Rounds - In Office

Key Responsibilities:

Design, build, and maintain efficient, reusable, and reliable backend services using Python and/or Golang

Develop and maintain clean and scalable code following best practices

Apply Object-Oriented Programming (OOP) concepts in real-world development

Collaborate with front-end developers, QA, and other team members to deliver high-quality features

Debug, optimize, and improve existing systems and codebase

Participate in code reviews and team discussions

Work in an Agile/Scrum development environment

Required Skills: Strong experience in Python or Java (working knowledge of both is a plus)

Good understanding of OOP principles

Familiarity with RESTful APIs and back-end frameworks

Experience with databases (SQL or NoSQL)

Excellent problem-solving and debugging skills

Strong communication and teamwork abilities

Good to Have:

Prior experience in the security industry

Familiarity with cloud platforms like AWS, Azure, or GCP

Knowledge of Docker, Kubernetes, or CI/CD tools

Familiarity with AI tools and concepts (such as prompt engineering, LLMs, or automation workflows) is a plus 

Senior Xano Developer

Visual Backend Development, APIs & AI-Assisted Build

📍 Mumbai (On-site) | Full-time | 3-5 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Xano Developer who will build backend systems and APIs for our customer engagements on Xano, the visual backend development platform.

The mandatory requirement for this role is hands-on production backend engineering experience, including PostgreSQL data modelling and REST API design, in either a Node.js or Python environment.

Prior production work on Xano is strongly preferred.

The role is hands-on and customer-facing. You will own backend delivery across engagements: designing data models, building API flows in Xano, integrating third-party services, and partnering with frontend, mobile, and AI engineers on contracts and behaviour.

The work spans all three Xano build modes: no-code function stacks, custom code through Xano’s scripting and code blocks, and Xano’s AI assistance and agentic features.

A typical week includes a data model review for a new engagement, building a complex API flow in Xano, integrating a third-party webhook, and a customer working session on a new module.

Responsibilities:

Backend Delivery on Xano

Own end-to-end backend implementation on Xano: database schema, API endpoints, function stacks, background tasks, and integrations.

Ship production-ready work that meets customer requirements and engineering quality standards.

Build Across All Three Xano Modes

Use Xano’s no-code function stacks for standard CRUD and business logic.

Drop into custom code (JavaScript, Python through code blocks, expressions) where visual flows would be unwieldy.

Use Xano’s AI assistance and agentic features to accelerate routine build work.

Database Design on PostgreSQL

Own data model decisions for each engagement: table design, relationships, indexes, addons, and query performance.

Make schema choices that hold up as product usage grows and that map cleanly to the API contracts the client needs.

API Design and Integration

Design clean REST API contracts that the frontend, mobile, and third-party consumers can rely on.

Cover authentication, input validation, pagination, error handling, and rate limiting.

Integrate external services (payment gateways, messaging, storage, AI providers) through Xano’s connectors and custom requests.

Product Thinking and Solutioning

Translate fuzzy product asks from customers into concrete backend solutions.

Ask the right questions about edge cases, data lifecycle, multi-tenancy, and access control before building.

Push back on requirements that will cause pain later.

Customer Communication

Work directly with customers in discovery, design reviews, demos, and weekly working sessions.

Explain trade-offs in plain language, present options with clear recommendations, and write tight technical updates.

AI-Assisted Backend Development

Use Xano’s built-in AI features as well as external AI tools (Claude, Cursor, and similar) day to day for schema drafts, function stack scaffolding, query writing, integration setup, and review.

Develop strong instincts for when AI output is usable as-is and when it must be reworked.

Quality, Testing, and Reliability

Test the flows you ship.

Set up sensible error handling, logging, and alerts for the backend services you own.

Participate in incident response when something breaks in production.

Documentation and Handover

Document data models, API contracts, and non-obvious decisions inside Xano and in shared docs so the rest of the team and the customer can pick up the work without you in the room.

Continuous Learning

Track changes to the Xano platform, including new features, performance improvements, and AI capabilities.

Apply them to active engagements where they reduce build effort or improve product outcomes.

Requirements:

Hands-on Production Backend Engineering Experience (Mandatory)

Must have personally shipped backend systems to production for real users, with ownership of API design and data modelling.

POCs, coursework, and internal-only tools do not qualify.

3 to 5 Years of Professional Backend Engineering Experience

In either a Node.js or Python environment.

Candidates with slightly less time but strong demonstrated ownership are welcome to apply.

Strong PostgreSQL Skills

Schema design, indexing, query writing, and migrations on at least one production system.

Able to reason about query performance and design data models that hold up under realistic product usage.

REST API Design and Integration Depth

Comfort designing API contracts that are clean, predictable, and easy for frontend, mobile, and third-party consumers to work with.

Experience integrating external services such as payment gateways, messaging providers, storage, and AI APIs.

Familiarity with at Least One Node.js or Python Backend Stack

Such as Express, NestJS, Fastify, FastAPI, Django, or Flask.

Comfort reading and writing application code outside of visual environments when the situation calls for it.

Product Thinking and Solutioning

Ability to take a fuzzy product brief, ask the right questions, and propose a backend design that is fit for purpose.

Strong instincts for what to build first, what to defer, and what not to build.

Strong Written and Spoken English Communication

Confident in customer working sessions and design reviews.

Comfortable writing precise technical documentation and explaining trade-offs to non-engineering stakeholders.

Cloud and Deployment Fundamentals

Working knowledge of at least one of AWS, GCP, or Azure: deploying services, reading logs, managing environments, and basic operational tasks.

Familiarity with Docker is a plus.

Bachelor’s Degree

Bachelor’s degree in Computer Science, Information Technology, or a related engineering discipline.

Exceptional candidates with demonstrable production experience and strong portfolios may be considered without a formal degree.

Nice to Have

• Prior production experience on Xano, Bubble, Retool, or comparable visual or low-code backend platforms
• Full stack experience with React, Next.js, React Native, or Flutter
• Experience integrating LLM APIs (OpenAI, Anthropic, Google) into backend workflows
• Multi-tenant SaaS product experience
• Prior agency, consulting, or product-engineering experience

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.

The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.

The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.

You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent Architecture

Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.

Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.

Code Generation Pipeline

Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.

Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.

Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-Repair Loop

Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.

This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context Management

Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.

Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.

Own token budgeting and prompt caching strategy.

Prompt Engineering as a Discipline

Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).

Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.

Version prompts like code with changelogs and rollback capability.

Evaluation and Quality Measurement

Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.

Define regression gates that block quality-degrading changes from shipping.

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable at this level.

Model Strategy and Cost

Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.

Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.

Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and Reliability of Agent Behaviour

Defend against prompt injection from user content and fetched web content.

Ensure secrets never appear in generated client code.

Define what the agent's tools may and may not do in collaboration with the platform team.

Contribute to output moderation and abuse-pattern awareness.

Mentorship and Engineering Standards

Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.

Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)

Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI systems.

Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python Proficiency and Service Development

Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.

Not notebook-only.

Depth Across LLM APIs and Agent Systems

Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, Systematic Evaluation Practice - Non-Negotiable

Must have built evaluation harnesses that gate production releases, not ad-hoc testing.

Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.

Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost Discipline for Production AI

Track record of measurable cost optimisation on production AI features.

Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS Working Knowledge

Hands-on with EC2, S3, IAM, and Docker.

Comfort with CI/CD workflows and deploying AI services.

Awareness of LLM Security Failure Modes

Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to Have

• Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
• MCP server authoring
• Open-source AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

We are seeking a highly skilled and motivated Data Engineer to join our Development POD for the Integration Project. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to ingest, clean, transform, and integrate diverse public datasets into our knowledge graph. This role requires a strong understanding of Cloud Platform (GCP) services, data engineering best practices, and a commitment to data quality and scalability.

Location - Noida (Hybrid) / Remote

You can also share your resume at ayushi.dwivedi at the rate cloudsufi.com

Qualifications and Skills

Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.

Experience: 3+ years of proven experience as a Data Engineer, with a strong portfolio of successfully implemented data pipelines.

Programming Languages: Proficiency in Python for data manipulation, scripting, and pipeline development.

Cloud Platforms and Tools: Expertise in Google Cloud Platform (GCP) services, including Cloud Storage, Cloud SQL, Cloud Run, Dataflow, Pub/Sub, BigQuery, and Apigee. Proficiency with Git-based version control.

Core Competencies:

Must Have - SQL, Python, BigQuery, (GCP DataFlow / Apache Beam), Google Cloud Storage (GCS)

1. Must Have - Proven ability in comprehensive data wrangling, cleaning, and transforming complex datasets from various formats (e.g., API, CSV, XLS, JSON) Secondary Skills - SPARQL, Schema.org, Apigee, CI/CD (Cloud Build), GCP, Cloud Data Fusion, Data Modelling
2. Solid understanding of data modeling, schema design, and knowledge graph concepts (e.g., Schema.org, RDF, SPARQL, JSON-LD).
3. Experience with data validation techniques and tools.
4. Familiarity with CI/CD practices and the ability to work in an Agile framework.
5. Strong problem-solving skills and keen attention to detail.

Preferred Qualifications:

1. Experience with LLM-based tools or concepts for data automation (e.g., auto-schematization).
2. Familiarity with similar large-scale public dataset integration initiatives.
3. Experience with multilingual data integration.

 Key Responsibilities:

✅ Design and implement AI-powered QA strategies, including predictive quality analytics, automated test generation, and intelligent defect prediction.

✅ Build advanced automation frameworks with self-healing scripts, intelligent test prioritization, and adaptive test coverage analysis.

✅ Develop AI-driven quality dashboards, reporting systems, and actionable quality insights.

✅ Drive Agile, DevOps, CI/CD, and Continuous Testing practices in AI-enhanced development environments.

✅ Streamline QA processes to improve release velocity while maintaining high-quality standards.

✅ Collaborate closely with Development, Product, and Operations teams across the SDLC.

✅ Lead innovation initiatives around AI-powered testing tools and emerging QA technologies.

✅ Mentor QA engineers on intelligent automation frameworks and modern quality engineering practices

Required Skills:

🔹 Hands-on experience with AI-powered testing platforms such as *Testim, Mabl, Applitools, Functionize*, or similar tools.

🔹 Strong expertise in *Selenium, Cypress, Playwright, and Appium*.

🔹 Experience with *CI/CD pipelines, DevOps practices, containerization, and cloud-native testing*.

🔹 Proficiency in *Python, Java, or JavaScript/TypeScript*.

🔹 5+ years of QA experience with at least 2+ years in a leadership role.

🔹 3+ years of hands-on experience with AI-driven testing tools and methodologies.

🔹 Experience leading QA transformation, automation strategy, and innovation initiatives.

🔹 Strong analytical, problem-solving, communication, and stakeholder management skills.

Good to Have:

⭐ Predictive analytics and AI-assisted defect management.

⭐ Cloud platforms and enterprise-scale testing ecosystems.

⭐ Performance, Security, and API Automation Testing.

⭐ Experience in Digital Transformation or Enterprise Modernization programs.

⭐ Passion for emerging AI technologies and continuous improvement

ey Responsibilities

✅ Architect, develop, and deploy AI-powered enterprise applications and intelligent automation solutions.

✅ Translate business requirements into scalable, secure, and production-ready AI systems.

✅ Build and integrate AI/ML capabilities into enterprise platforms and digital products.

✅ Design cloud-native applications leveraging AWS, Azure, or Google Cloud Platform (GCP).

✅ Develop APIs, microservices, distributed systems, and modern integration frameworks.

✅ Implement DevOps best practices, CI/CD automation, and engineering lifecycle processes.

✅ Utilize AI-assisted development tools to improve productivity and accelerate delivery.

✅ Ensure compliance with security standards, governance frameworks, and data privacy requirements.

✅ Collaborate with cross-functional teams, product stakeholders, and business leaders to deliver innovative solutions.

Required Skills

🔹 5+ years of experience in Software Engineering, Solution Architecture, or Enterprise Application Development.

🔹 Strong programming expertise in *Python, Java, TypeScript, or Go*.

🔹 Hands-on experience integrating AI/ML solutions into enterprise applications.

🔹 Experience with cloud platforms such as *AWS, Azure, or GCP*.

🔹 Strong understanding of *APIs, Microservices, Distributed Systems, and Containerization*.

🔹 Experience with *Agile methodologies, DevOps practices, and CI/CD pipelines*.

🔹 Knowledge of secure software development and enterprise governance standards.

🔹 Excellent problem-solving, communication, and stakeholder management skills.

Good to Have

⭐ Experience with *Machine Learning, Generative AI, Intelligent Automation, or LLM-based solutions*.

⭐ Knowledge of *MLOps, Prompt Engineering, Model Monitoring, AI Validation, and LLM Integration*.

⭐ Experience in *Banking, FinTech, Payments, or other regulated industries*.

⭐ Advanced degree in Computer Science, Artificial Intelligence, Engineering, or related fields.

⭐ Certifications such as *AWS/Azure/GCP Solutions Architect, TOGAF, CKA, or Lean Six Sigma*.

⭐ Experience leading engineering modernization, transformation, or automation initiatives.

⭐ Contributions to open-source projects and a passion for emerging technologies.

Role: Full-stack Developer – Python & React JS

• Experience: 3–6 Years

• Contract Duration: 6 Months+ (Extendable)

• Work Mode: Onsite (Mumbai Powai) 

• Joining Timeline: Within 1–2 Weeks

Educational Qualification

Bachelor’s degree in Engineering, Computer Science, Information Technology

Please find the Job Description below:

Key Responsibilities:

• Develop scalable and high-performing web applications using Python, FastAPI, and React JS
• Create clean, responsive, and reusable frontend components for modern user experiences
• Build data visualization modules, analytical dashboards, and reporting interfaces
• Design and integrate REST APIs to support seamless system communication
• Work closely with cross-functional teams to understand functional and technical requirements
• Enhance existing applications by implementing new features and improving system efficiency
• Identify technical issues, troubleshoot application problems, and ensure timely resolution
• Optimize backend processes, database queries, and application performance
• Participate in code reviews, testing activities, deployment processes, and production support
• Maintain technical documentation and contribute to internal knowledge sharing

Required Skills & Experience:

• 3 to 6 years of experience in Full-stack Application Development
• Strong hands-on expertise in Python and FastAPI
• Good experience in frontend development using React JS
• Experience working with dashboards, charts, or visualization libraries such as ECharts
• Understanding of RESTful APIs, web services, and integration workflows
• Good knowledge of SQL and relational database management systems
• Familiarity with Git, version control practices, and development lifecycle processes
• Strong analytical, debugging, and problem-solving abilities
• Good communication and collaboration skills for working in team environments

Hands-on experience in developing Restful APIs and Web Services.

Knowledge of Django, FastAPI (or any other established Python web frameworks) would be a plus.

Knowledge of Angular or React or similar technologies would be an added advantage.

Strong experience with relational (PostgreSQL, MySQL) and/or NoSQL databases.

Experience working with Linux/Unix Operating system & comfortable with command line.

Experience with modern software engineering workflows and tools (e.g. Agile, JIRA, Git, CI/CD, Amazon Web Services, Observability and Monitoring tools like ELK, Datadog, NewRelic, etc.).

Extremely passionate about code reviews, engineering best practices and mentoring/coaching the developers to make them successful.

Excellent understanding of feature estimation and ability to communicate issues and risks that may impact timelines, budget, or resources.

Experience with Agile development lifecycle

Neuroglia Health Private Limited (NHPL) — A Part of M3, Inc., Japan

M3, Inc. is a global healthcare leader based in Tokyo, trusted by 4+ million doctors across 9 countries. Since 2019, Neuroglia Health Private Limited (NHPL) has been part of M3’s global ecosystem, building technology-driven platforms at massive scale for doctors and medical students in India — with a clear mission of building better doctors.

Our flagship product, Marrow, is one of the most trusted learning platforms for doctors — operating at a scale few education companies ever reach: millions of learners, petabytes of high-quality learning data, and 500+ million hours of video streamed through a system as complex and secure as leading global streaming platforms. Our infrastructure powers learning for hundreds of thousands of doctors daily, with a strong focus on performance, reliability, and security.

Under NHPL, we also operate DBMCI One — a powerful hybrid learning platform that brings decades of DBMCI’s trusted medical coaching legacy into a scalable digital ecosystem, blending top faculty expertise with structured digital learning, live and recorded sessions, high-yield notes, and exam-focused preparation tools to enable aspirants across India to access proven teaching excellence anytime, anywhere.

We are a self-funded, EBITDA-positive organization with strong cash reserves, built on financial discipline and sustainable growth. We believe in long-term value creation over short-term hype, and remain deeply committed to our mission of building better doctors.

Together with Marrow, it strengthens our mission of building better doctors through technology, scale, and academic rigor.

Software Development Engineer - I (Backend)

What does the team do?

At NHPL Product Security, we will focus on strengthening the safety, reliability, and scalability of systems trusted by 300k+ daily users. As a team, we will work closely across functions to protect our platforms, prevent misuse, and continuously improve system resilience. We will take ownership of critical security initiatives, contribute to key design decisions, and build a strong foundation for long-term product security and growth.

What We’re Looking For:

Required:

• 1–2 years of hands-on experience in Python or Go (Flask, FastAPI, Beego, Gin, etc.)
• Experience building and securing REST APIs
• Strong understanding of SSL/TLS and cryptography basics (AES, RSA, HMAC, SHA, Base64)
• Working knowledge of AWS or GCP basics (roles, logs, scaling, DNS)
• Comfortable with Linux, log analysis, and networking fundamentals (OSI model, TCP/UDP, ports, proxies)

Good to Have:

• Exposure to HLS/DASH streaming
• Experience with mitmproxy or packet inspection tools (Wireshark, eBPF, etc.)
• Familiarity with CDN

What You’ll Be Doing:

• Build and secure systems used by 300k+ doctors daily
• Work on large-scale streaming infrastructure
• Implement secure playback flows (tokenization, DRM, encryption)
• Protect APIs from scraping, replay, and abuse (bots)
• Analyze logs and improve system security and reliability
• Contribute to high-scale VOD systems

Growth Path:

• Build deep expertise in streaming security
• Take ownership of critical security components
• Contribute to architecture and security design decisions
• Grow into DevSecOps → Senior Security Engineer → System Security Architect

Job description:

Interview Venue: H-28, ARV Park, Sector 63, Noida, Uttar Pradesh 201301

Job location: Noida

Experience: 1-2 years

Education: B.Tech or MCA

The procedure for the interview will be as follows:

• 1st Round - Machine Round
• 2nd Round- Communication Round
• 3rd Round – Assignment Round
• 4th Round - HR Round

Job Description:

• Profile: AI/ML Engineer
• Experience: 1-2 yrs
• Qualification : B.Tech/MCA
• Working Days: 5
• Job Nature: Permanent

Roles And Responsibilities:

1) Python Proficiency and API Integration:

Demonstrate strong proficiency in Python programming language.

Design and implement scalable, efficient, and maintainable code for machine learning applications.

Integrate machine learning models with APIs to facilitate seamless communication between different software components.

2) Machine Learning Model Deployment, Training, and Performance:

Develop and deploy machine learning models for real-world applications.

Conduct model training, optimization, and performance evaluation.

Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.

3) Large Language Model Understanding and Integration:

Possess a deep understanding of large language models (LLMs) and their applications.

Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.

Stay abreast of the latest advancements in large language models and contribute insights to the team.

4) Langchain and RAG-Based Systems (e.g., LLamaindex):

Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.

Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.

5) LLM Integration with Vector Databases (e.g., Pinecone):

Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.

Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.

6) Natural Language Processing (NLP):

Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation.

Experience with NLP libraries and frameworks like NLTK, SpaCy, Hugging Face Transformers

7) Computer Vision:

Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation.

Experience with computer vision libraries like OpenCV, PIL, and frameworks like TensorFlow, PyTorch, and Keras.

8) Deep Learning:

Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras.

Experience with model optimization, hyperparameter tuning, and transfer learning.

9) Data Manipulation:

Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.

Proficiency in data cleaning, preprocessing, and augmentation techniques.

Perks&Benefits:

• Employees & Family Health Insurance, EPF & ESIC.
• Free late-night meal facility.
• Innumerable in house & outdoor party.
• Various compensations & bonuses.
• No dress Code.
• Festival Celebration.
• Employees' B'day celebration.

JOB DESCRIPTION

Full Stack Developer (US Shift)

DETAILS JOB DESCRIPTION

We are seeking a skilled Python Fullstack Developer (US time -9 AM EST to 6 PM EST | 6:30 PM IST

to 3:30 AM IST) with strong expertise in building scalable and high-performance applications. The

ideal candidate will have hands-on experience in developing microservices-based architectures,

designing robust REST APIs, and working with modern cloud platforms.

RESPONSIBILITIES

• Design, develop, and maintain backend services using Python and FastAPI

• Build and manage scalable microservices architectures

• Develop and optimize RESTful APIs for performance and reliability

• Work with PostgreSQL/SQL for efficient data storage and retrieval

• Deploy and manage applications on GCP (Cloud Run, Pub/Sub)

• Implement unit and integration tests using pytest

• Set up and maintain CI/CD pipelines for seamless deployments

• Collaborate with cross-functional teams to deliver high-quality solutions

• Maintain code quality using version control systems like Git

PRIMARY SKILLS

• Strong experience in Python

• Experience with FastAPI

• Hands-on experience with PostgreSQL / SQL

• Experience in Microservices architecture

• Strong knowledge of REST API development

• Experience with GCP (Cloud Run, Pub/Sub)

 • Experience with Angular

• Experience with pytest (unit testing & integration testing)

• Experience with CI/CD pipelines

• Good understanding of version control (Git)

Secondary Skills (If Any)

• Knowledge of Payment domain

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Role Overview

MyOperator's platform handles billions of real-time interactions - cloud call centers, IVR flows, WhatsApp APIs, AI voicebots, and a unified communication suite. As Manager QA, you will own quality across this entire product surface: from defining the QA strategy and automation architecture to taking accountability for production escapes and release confidence.

This is not a sign-off role. You define what "good" looks like, build the systems to enforce it, and lead a team that treats quality as a product outcome, not a checkpoint. You will work directly with Engineering, Product, and DevOps to embed quality at every stage of the development lifecycle. If you've scaled automation frameworks, reduced defect escape rates measurably, and built QA cultures where the team doesn't wait to be told what to test, this role is built around you.

Key Responsibility Areas

• Own and enforce the quality bar across MyOperator's full product suite - Cloud Call Center, IVR & Call Flows, WhatsApp API, AI Voicebots, and Unified Communication Platform from sprint planning through production.
• Architect and scale automation frameworks across UI (Web/Mobile), REST and GraphQL APIs, and end-to-end integration flows; integrate these into CI/CD pipelines for continuous testing.
• Define, track, and improve quality metrics including defect escape rate, automation coverage percentage, test cycle time, flakiness rate, and Mean Time to Detect (MTTD).
• Lead performance and load testing strategies using JMeter, k6, or Locust to validate system behavior under production-scale traffic conditions.
• Drive Root Cause Analysis (RCA) for production incidents and implement systemic fixes to prevent recurrence, not just mitigation.
• Lead, mentor, and scale the QA team; set clear performance expectations, run regular calibrations, and build an ownership-driven, bias-for-action team culture.
• Establish and maintain release entry/exit criteria, test environment parity with production, and structured test data management processes.

Requirements - Must Have

• 5-8 years in QA with at least 2 years in a lead or ownership role managing a team of 3 or more.
• Prior experience with technologies like Telephony, VOIP, WebRTC, Voice Bots, Sockets, and WebSockets is a must-have.
• Hands-on experience in testing and quality assurance of applications/products involving UDP (User Datagram Protocol) communication, including validation of reliability, performance, and network-level troubleshooting.
• Hands-on expertise with one or more automation frameworks: Selenium, Cypress, Playwright, or Appium with a demonstrated ability to build or significantly scale a framework from the ground up.
• Proficiency in Python, Java, or JavaScript for writing and maintaining automation code.
• At least 2+ years of strong hands-on experience in API testing using Postman or RestAssured, and CI/CD integration using Jenkins, GitHub Actions, or GitLab CI.
• Documented track record on the resume (via explicitly stated metrics) demonstrating a quantifiable reduction in defect escape rates or improvement in automation coverage.
• Experience with performance/load testing tools (JMeter, k6, or Locust) in a real production context.

Requirements - Good to Have

• Prior experience at a SaaS, CPaaS, or Cloud Telephony company; understanding of SIP or IVR.
• Exposure to AWS, GCP, or Azure in the context of test environment management or deployment pipelines.
• Experience testing microservices and event-driven systems, including webhooks, async flows, and message queues.
• Familiarity with contract testing (Pact) or AI/ML-specific testing - chatbots, voicebots, NLP output validation.
• Knowledge of basic security testing principles, OWASP top 10, or chaos/resilience testing.

This profile is not for

• Someone whose primary mode (as inferred from past role descriptions) is purely reviewing test cases and delegating execution rather than building and owning the automation stack themselves.
• Someone who treats QA sign-off as the finish line—this role is accountable for customer experience, not just green test runs.
• Candidates lacking demonstrable, hands-on evidence of building automation frameworks in their profile; this role cannot be fulfilled by purely manual QA or strictly managerial profiles

Navtech is looking for an ERPNext Frappe Developer with expertise in the Frappe Framework to join our team. The ideal candidate will be responsible for designing, developing, and customizing ERPNext applications to meet business requirements. You will work closely with cross-functional teams to enhance existing modules, integrate third-party applications, and ensure seamless performance of ERP systems.

Working as a ERPNext Frappe Developer at Navtech, you will:

• Develop and customize ERPNext modules based on business requirements.
• Write clean, scalable, and maintainable Python code using the Frappe Framework.
• Design and implement RESTful APIs for seamless integration with other systems.
• Optimize database structures and queries for efficient performance.
• Troubleshoot, debug, and resolve issues in the ERPNext ecosystem.
• Work with stakeholders to understand business processes and implement appropriate solutions.
• Develop custom scripts, reports, and print formats as required.
• Perform software testing, code reviews, and version control management.
• Stay up to date with ERPNext and Frappe Framework best practices and updates.

Who Are We Looking For Exactly?

• 1+ years proficiency in Python and experience with the Frappe Framework.
• Strong understanding of ERPNext and its various modules.
• Experience with MariaDB/MySQL and database optimization.
• Knowledge of JavaScript, HTML, CSS, and front-end frameworks (Vue.js, React, or similar is a plus).
• Experience with RESTful API development and third-party integrations.
• Familiarity with Git and version control workflows.
• Ability to write efficient, reusable, and modular code.
• Strong problem-solving skills and ability to work in a team environment.
• Excellent communication and documentation skills.
• Bachelor’s degree in Computer Science, Information Systems, or related degrees and throughout education in English medium.

Why Navtech?

• Performance review and Appraisal Twice a year.
• Competitive pay package with additional bonus and benefits.
• Work with US, UK and Europe based industry-renowned clients for exponential technical growth.
• Opportunities to work on multiple projects.
• Medical Insurance cover for self and immediate family.
• Work with a culturally diverse team from different geographies.

About us:

Navtech is a premier IT software and Services provider. Navtech’s mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services.

Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US, Hyderabad, and Pune. We’re a fast-growing company with clients in the United States, UK and Europe.

About CNH

Connect and Heal (CNH) is a healthcare organization focused on transforming healthcare delivery through technology-enabled solutions, clinical excellence, and exceptional patient experiences. We build scalable digital platforms that support healthcare operations, patient engagement, telehealth, and enterprise healthcare services.

Role Summary

We are seeking a highly motivated Engineering Lead to drive the design, development, and delivery of scalable technology solutions that support CNH's business growth and healthcare operations. The role requires a strong blend of technical expertise, people leadership, architecture oversight, and execution excellence.

The Engineering Lead will lead engineering teams, collaborate with Product, Operations, Clinical, and Business stakeholders, and ensure delivery of high-quality, secure, and scalable products.

Key Responsibilities

Technical Leadership

• Lead the design, development, and deployment of scalable applications and platforms.
• Drive engineering best practices, coding standards, architecture reviews, and technical governance.
• Ensure system reliability, performance, security, and scalability.
• Evaluate and implement emerging technologies to improve product capabilities and engineering efficiency.

Team Leadership

• Build, mentor, and manage high-performing engineering teams.
• Conduct performance reviews, coaching, and career development discussions.
• Foster a culture of accountability, innovation, collaboration, and continuous learning.
• Support hiring and talent development initiatives.

Product & Delivery Management

• Partner with Product Managers and business stakeholders to translate business requirements into technical solutions.
• Drive sprint planning, prioritization, estimation, and delivery management.
• Ensure timely and high-quality execution of engineering roadmaps.
• Manage risks, dependencies, and technical debt effectively.

Stakeholder Management

• Collaborate with Operations, Clinical, Customer Success, and Business teams.
• Communicate project progress, risks, and outcomes to leadership.
• Support strategic initiatives through technology-driven solutions.

Quality & Compliance

• Ensure adherence to information security, data privacy, and healthcare compliance requirements.
• Establish monitoring, testing, and release management processes.
• Drive automation, observability, and operational excellence.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• 8–12+ years of software engineering experience.
• 3–5+ years of experience leading engineering teams.
• Experience building and scaling enterprise-grade applications.

Technical Skills & Expertise

• Strong proficiency in modern programming languages such as Java, Python, Node.js, Golang, or .NET.
• Hands-on experience in designing and managing RESTful APIs, API Gateways, and Microservices Architecture.
• Strong knowledge of CI/CD Automation using tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar platforms.
• Experience in DevOps practices, including Infrastructure as Code (IaC), containerization (Docker), orchestration (Kubernetes), and cloud-native deployments.
• Expertise in cloud platforms such as AWS, Azure, or GCP.
• Experience implementing monitoring, logging, and observability solutions.
• Familiarity with modern databases, distributed systems, and high-availability architectures.
• Exposure to AI/ML tools, Generative AI solutions, LLMs, AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, etc.), and their integration into enterprise applications.
• Understanding of healthcare interoperability standards, APIs, and data security principles is desirable.

Additional Responsibilities

• Drive adoption of AI-powered engineering practices to improve developer productivity, code quality, and operational efficiency.
• Establish and maintain robust CI/CD pipelines to enable faster and more reliable software releases.
• Lead DevOps transformation initiatives, promoting automation, infrastructure scalability, and engineering excellence.
• Define and govern enterprise-wide API strategy, standards, security, and lifecycle management.
• Evaluate emerging technologies and AI innovations to support CNH's digital healthcare roadmap.

Preferred Candidate Profile

• 10–15 years of experience in software engineering, with 4–6 years in engineering leadership roles.
• Proven experience leading teams building cloud-native, API-first, AI-enabled platforms.
• Strong background in DevOps, CI/CD automation, platform engineering, and digital transformation initiatives.
• Experience managing engineering teams delivering mission-critical products at scale.

CNH offers an opportunity to build impactful healthcare technology solutions that improve access, quality, and patient outcomes while working with a passionate and mission-driven team.

Position: Robotics Intern

Location: Chandkheda, Ahmedabad (Fx31Labs Office)

Duration: 3–6 Months

Stipend: Rs.5,000 / Per month

Job Description:

We are seeking a passionate Robotics Intern to join our advanced robotics team. This internship offers a fast-paced, end-to-end engineering experience involving aerial robotics, embedded systems, autonomous navigation, perception, and real-world prototype development.

This role is ideal for students and early-career engineers looking to gain practical experience in designing, building, testing, and improving autonomous robotic platforms.

Key Responsibilities:

Design & Build

• Assemble and integrate motors, ESCs, sensors, flight controllers, microcontrollers, and communication modules.
• Design and prototype electronic systems for rapid testing and development.
• Assist in mechanical assembly, wiring, and hardware integration of robotic platforms.

Embedded Systems & Control

• Develop Python and C/C++ software for sensor integration, control systems, and autonomous behaviours.
• Interface with hardware and wireless communication protocols.
• Implement safety mechanisms, telemetry systems, and fault-detection routines.

Autonomous Navigation & Perception

• Integrate sensors such as IMUs, GPS, LiDAR, cameras, depth sensors, and range finders.
• Develop and test localization, navigation, and obstacle-avoidance capabilities.
• Work with computer vision and perception pipelines for environmental awareness.

ROS 2 & SLAM

• Implement and tune SLAM and localization frameworks using ROS 2.
• Work with tools such as Cartographer, RTAB-Map, Nav2, and related autonomy stacks.

System Integration & Testing

• Integrate hardware, firmware, and software into a fully functional robotic system.
• Perform debugging, troubleshooting, and validation across electronics, software, and mechanical subsystems.
• Conduct field testing and analyse system performance.

Rapid Prototyping & Iteration

• Build, test, evaluate, and refine prototypes through iterative development cycles.
• Contribute innovative ideas to improve system reliability and performance.

Qualifications:

• Pursuing or recently completed a Bachelor's degree in Robotics, Mechatronics, Electronics, Electrical Engineering, Computer Science, Aerospace Engineering, or a related field.
• Hands-on experience with robotics, embedded systems or related projects.
• Proficiency in Python and basic C/C++ programming.
• Understanding of sensors, control systems, communication protocols, and microcontroller-based development.
• Experience with hardware assembly, wiring, debugging, and soldering.
• Comfortable working on both software and physical hardware systems.

Why Join Us?

• End-to-End Engineering Experience
• Advanced Robotics Exposure
• Learning & Mentorship
• Innovation-Driven Environment

Strong in AI expereince is Mandatory

10+ years of experience in successfully building, deploying, and running complex, large-scale web or data products

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Program Management Skills: Ability to estimate complex projects accurately, manage stakeholder expectations, and hold the team accountable to deadlines. 

● Creative Engineering: A creative mind with an uncanny sense of design thinking and principles. 

● Values: Most importantly, the kind of values you have as a person. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

Bachelor’s or Master’s degree in Computer Science or IT (B.E / B.Tech / M.Tech / M.S) from premier institutes..

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

What we're looking for

Hanomi builds software that automatically generates 2D engineering drawings from 3D CAD models. We've raised venture funding, have paying manufacturing customers across India and internationally, and just shipped drawing automation to production. We're a team of 8 engineers moving fast toward scaling this to thousands of drawings per day. You'll work on real parts that go to real factory floors - where a wrong dimension means a scrapped part and a missed shipment. It's demanding work with real accountability, but if you're the kind of person who gets fired up by solving hard problems across multiple technical domains and seeing a team ship consistently, you'll fit right in.

We're looking for a person to lead engineering execution. This role is on-site at our Bengaluru office.

You'll work directly with our CTO to turn product priorities into shipped software. This isn't a management-from-a-distance role - you'll plan sprints and hold people accountable, but you'll also roll up your sleeves to debug, brainstorm algorithmic approaches, and review PRs with enough depth to catch when something doesn't fit.

Engineering Lead:

In this role, you will:

Own engineering execution across the team:

·        Plan sprints, set timelines, track progress, and hold people accountable

·        Run gate reviews before production deploys and flag risks before they become misses

·        Coordinate between our algo team and platform team

·        Be the person who makes sure things ship by being close enough to the work to know when something's going wrong

Roll up your sleeves and build alongside the team:

·        Debug production issues together with engineers, not delegate and wait

·        Brainstorm algorithmic approaches and review PRs deeply enough to catch integration issues

·        Jump into the codebase when something's blocked, you're not above writing code to unblock a sprint

Bring technical depth across algorithms and platform:

·        Understand mechanical engineering concepts well enough to question whether an approach makes sense for different manufacturing processes

·        Have experience scaling platforms - deployment pipelines, reliability, monitoring, the infrastructure that keeps a product running for paying customers

·        Ideally have worked on desktop applications or integrations with CAD software APIs

Make the team better over time:

·        Give direct, specific feedback - including the uncomfortable kind

·        Know when an engineer needs clearer specs vs more autonomy vs a push

·        Identify process gaps and fix them without adding bureaucracy

Note given that we are a startup, the exact job match will depend on your skills and interest (there is always too much to do!).

Requirements:

·        5-7 years in software engineering, with experience leading teams of 5–10 engineers

·        Strong Python - comfortable reading and contributing to algorithm code

·        Experience scaling platforms that serve real customers with reliability requirements

·        Exposure to mechanical engineering or CAD/PLM domains - you don't need to be a mech engineer, but you should understand what an engineering drawing represents and why correctness matters

·        Desktop application development or API integrations with CAD software is a strong plus

·        You still enjoy building - this is a hands-on leadership role where you're expected to contribute technically

·        Startup experience preferred - you know the difference between useful process and process theater

Preferred Qualifications:

·        Background in 3D / manufacturing

·        Experience with computational geometry / 3D modelling workflows 

·        You've managed engineers who are deep specialists and earned their respect through technical credibility, not just title

·        You use AI tools in your daily workflow - Claude Code, Cursor

2–4 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Strong analytical and debugging skills with the ability to solve complex problems.

Position: Full Stack Developer

Experience: 3+ Years

Location: Bangalore

Job Summary

We are seeking a talented and motivated Full Stack Developer with 3+ years of experience in building scalable web applications using ReactJS, Python, and PostgreSQL. The ideal candidate should have hands-on experience in frontend and backend development, database design, API development, and cloud-based application deployment. The role involves collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, test, and maintain responsive web applications using ReactJS and Python.
• Build reusable frontend components and implement modern UI/UX practices.
• Develop RESTful APIs and backend services using Python frameworks such as FastAPI, Django, or Flask.
• Design and optimize PostgreSQL databases, including schema design, indexing, and query optimization.
• Integrate frontend applications with backend APIs and third-party services.
• Write clean, maintainable, and efficient code following best practices.
• Participate in code reviews, debugging, and performance optimization.
• Collaborate with product managers, designers, and QA teams throughout the development lifecycle.
• Implement authentication, authorization, and security best practices.
• Work with Git-based version control systems and CI/CD pipelines.
• Troubleshoot production issues and provide timely resolutions.

Required Skills

Frontend

• Strong experience with ReactJS, JavaScript (ES6+), HTML5, and CSS3.
• Experience with React Hooks, Context API, Redux, or similar state management libraries.
• Knowledge of responsive design and cross-browser compatibility.

Backend

• Strong proficiency in Python.
• Experience with FastAPI, Django, or Flask frameworks.
• Experience in building and consuming REST APIs.
• Understanding of asynchronous programming concepts.

Database

• Hands-on experience with PostgreSQL.
• Strong knowledge of SQL, query optimization, indexing, and database design.

Tools & Technologies

• Git/GitHub/GitLab.
• Docker and containerization concepts.
• CI/CD pipelines.
• Familiarity with Linux environments.

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Senior Engineer – MFT & EDI (Axway / IBM Sterling)

Location: Remote (1st Month Onsite)

Shift: US Shift (7 PM / 11 PM IST)

Experience: 4+ Years

Job Role

Looking for a Senior Engineer with experience in Axway Secure Transport or IBM Sterling B2Bi to manage MFT/EDI platforms, AWS infrastructure, and production support for a global client.

Key Responsibilities

• Manage and configure MFT/EDI (Axway or IBM Sterling)
• Handle platform support, maintenance, and troubleshooting
• Work with AWS, Terraform, and CI/CD tools
• Automate tasks using Shell/Python
• Provide US shift production support

Required Skills

• 4+ years experience in MFT/EDI
• Axway Secure Transport or IBM Sterling B2Bi
• AWS + Linux
• Terraform / Jenkins
• Shell or Python scripting
• Good communication and troubleshooting skills
• Ready for US shift

Hi,

please let me know your interest for the below role

Ansible Automation Developer

Fulltime

Bangalore—Hybrid

Note: No need of devops candidate. client looking for programming or coder candidate like software developer or ansible automation candidate.

The minimum skill expectation for these demands is the below combination:

Ansible (programming + Linux) + Python (programming) + API Programming for CMDB (RESTCONF, NETCONF or other) + Github & CI/CD (assuming it’s common nowadays) + background of coding/managing codebases for Configuring Networking Devices/Services in enterprise/production landscapes (Cisco or any other) + 1. Other skills mentioned in the JD (in the section: SKILL MATRIX) are not mandatory but preferred.

• Design, develop, and implement automation solutions to integrate disparate systems,

ensuring smooth and efficient end-to-end workflows.

• Collaborate closely with stakeholders to understand requirements and provide scalable

integration solutions using Ansible, ServiceNow, GitHub, etc.

• Create and maintain API-based integrations.
• Write Python scripts / logic within Ansible playbooks.
• Test and document all integration processes, design decisions, and developed solutions.
• Troubleshoot and resolve system integration and workflow issues, ensuring high levels

of performance and security.

• Continuously monitor and analyse the efficiency of integrated solutions, proposing and

implementing improvements when necessary.

• Participate in regular review sessions with IT peers to discuss best practices, new

technologies, and potential optimizations.

• Offer training and support to other IT team members on integrated systems and

platforms.

• Develop Ansible playbooks for network orchestration.
• Standardize and document network configurations using YANG modelling for Cisco

routers and switches in a design implementation guideline, ensuring alignment with

industry best practices and uniformity across the organization.

• Experience in working in agile environment .
• Background in IT service delivery (ITIL certification preferred).
• Proven technical acumen; ability to bridge tech specifications and business concepts.
• Proficient in WAN, LAN, Wireless LAN, IP - mgt, DNS, DHCP.
• Preferred network related certifications: Cisco DevNet Professional, Cisco CCNP.

Role Overview

We are seeking a Senior SQL Developer & ETL Engineer with 5+ years of experience for a 100% remote opportunity.

Please Note: This is not a pure Data Engineering role. We are looking for a true SQL Specialist. Your core strength must lie in relational database development, schema design, and writing high-performance database logic with Python, ETL, Cloud. SQL mastery and database architecture are the absolute heart of this role.

If you are a database developer who loves diving into query execution plans, refactoring messy stored procedures for 10x performance, and building clean data models from scratch, this role is for you.

Key Responsibilities

1. Database Architecture & Schema Design

• Design, implement, and maintain robust relational database schemas.
• Architect optimal data models for both operational (OLTP) and analytical (OLAP/Data Warehousing) workloads.
• Implement Normalization (3NF) and dimensional modeling (Star/Snowflake schemas) as required.

2. Advanced Database Programmability

• Write, debug, and optimize highly complex Stored Procedures, Functions, Triggers, and Views to handle core business logic at the database level.
• Utilize advanced SQL techniques such as CTEs, Window Functions, and complex analytical queries to solve business problems.

3. Performance Tuning & Indexing

• Analyze query execution plans, identify performance bottlenecks, and implement advanced indexing strategies (B-Tree, Clustered/Non-Clustered, Partitioning).
• Refactor legacy SQL code and manage statistics, locking, and concurrency mechanisms to ensure sub-second response times.

4. Python & Cloud ETL/ELT Pipelines

• Develop, schedule, and maintain scalable data ingestion and transformation pipelines to connect disparate data sources.
• Leverage Cloud Data Platforms alongside modern Python libraries to build efficient data movement workflows.

5. Data Integrity & Governance

• Establish strict database constraints, data validation routines, and automated quality checks to guarantee absolute data accuracy.

Required Technical Skills

• Expert-Level SQL & DB Programmability (5+ Years): Mastery of writing server-side logic (Stored Procedures/Functions) and complex queries in enterprise platforms like PostgreSQL, SQL Server, Oracle, or MySQL.
• Advanced Database Optimization: Deep, under-the-hood understanding of database engines, execution plans, indexing strategies, and concurrency/locking control.
• Python for Data Engineering (3+ Years): Proficient in writing clean, modular Python scripts for API integration, data manipulation, and ETL processing (using libraries like Pandas, SQLAlchemy, or custom database connectors).
• Cloud Data Experience: Hands-on experience working with, migrating to, or developing within major cloud environments (AWS, Azure, GCP) and modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
• Data Modeling Methodologies: Practical experience designing Star/Snowflake schemas, handling Slowly Changing Dimensions (SCD), and balancing normalization vs. denormalization.

Remote & Soft Skills

• Legacy Refactoring Mindset: You genuinely enjoy opening up a massive, poorly optimized 500-line legacy stored procedure and refactoring it for maximum efficiency.
• Autonomous Execution: Proven ability to manage your own time, architecture tasks, and deliverables without micromanagement in a fully remote setup.
• Asynchronous Communication: Exceptional written and verbal English communication skills to collaborate seamlessly across time zones.

Nice-to-Haves

• Experience migrating legacy on-premise infrastructure and stored procedures to modern cloud data warehouses.
• Familiarity with workflow orchestration tools like Apache Airflow or Prefect.
• Hands-on experience with dbt (data build tool) for in-warehouse transformations.

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

Overview

We are seeking a versatile Full-Stack Cloud Developer to build modern front-end Web UIs for client data presentations. In this role, you will lead the development of our internal customer interface while also functioning as a billable resource for diverse client projects. You must be agile and capable of translating complex application data logs and cloud metrics into clean, actionable dashboards. This is a client-facing position that requires strong English and presentation skills. You will be expected to interface directly with clients on special projects, presentations, and requirements gathering.

Key Responsibilities

Build modern front-end Web UIs: Design client data presentations using APIs and application data logs for both internal and external clients.

Data Visualization: Integrate observability tools like Grafana to deliver high-fidelity metrics for cloud and NOC performance tracking.

Full-Stack Development: Develop secure, multi-tenant application logic hosted in AWS and Azure environments.

Enforce Version Control: Maintain strict discipline using GitHub for all code and Terraform for infrastructure deployments.

Client Engagement: Lead presentations regarding custom-built data solutions and portal features to stakeholders.

Rigorous Documentation: Maintain detailed records of architecture, API schemas, and codebase standards for long-term maintainability. Collaborative Execution: Work within an engineering team to ensure technical goals are met and operational friction is reduced.

Required Qualifications

Full-Stack Proficiency: Expert knowledge of modern frameworks (React, Node.js, or Python) to build data-driven applications. Observability & Metrics: Strong experience with Grafana integration, embedding dashboards, and visualizing FinOps/NOC data. Documentation Discipline: Proven ability to create clear technical guides for both team members and clients.

Communication: Exceptional verbal and written English skills for high-level client presentations and engagements.

Cloud Foundations: Hands-on experience with AWS and Azure services, particularly serverless (Lambda/Azure Functions).

Tooling: Proficient with GitHub and Terraform for version control and infrastructure management.

Professional Growth & Career Path

Technical Leadership: Opportunity to own the full lifecycle of mission-critical products and grow into Lead Architect roles. Certification Support: We encourage and support growing into advanced professional-level certifications to stay ahead of the curve.

Team Culture: Participate in a culture that values collective problem-solving, mentorship, and shared technical goals.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

0-2 years of software development experience (internships or projects acceptable).

● Proficiency in at least one backend programming language (Python or Golang).

● Strong understanding of object-oriented programming and software fundamentals.

● Knowledge of data structures, algorithms, and database concepts.

● Familiarity with Linux-based development environments.

● Exposure to Git and version control workflows.

Strong analytical and problem-solving ability.

About the Role:

We are looking for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization.

Key Responsibilities:

• Data Modelling & Visualization
• Build scalable and high-quality data models in Power BI using best practices.
• Define relationships, hierarchies, and measures to support effective storytelling.
• Ensure dashboards meet standards in accuracy, visualization principles, and timelines.
• Data Transformation & ETL
• Perform advanced data transformation using Power Query (M Language) beyond UI-based steps.
• Design and optimize ETL pipelines using SQL, Python, and Big Data tools.
• Manage and process large-scale datasets from various sources and formats.
• Business Problem Translation
• Collaborate with cross-functional teams to translate complex business problems into scalable, data-centric solutions.
• Decompose business questions into testable hypotheses and identify relevant datasets for validation.
• Performance & Troubleshooting
• Continuously optimize performance of dashboards and pipelines for latency, reliability, and scalability.
• Troubleshoot and resolve issues related to data access, quality, security, and latency, adhering to SLAs.
• Analytical Storytelling
• Apply analytical thinking to design insightful dashboards—prioritizing clarity and usability over aesthetics.
• Develop data narratives that drive business impact.
• Solution Design
• Deliver wireframes, POCs, and final solutions aligned with business requirements and technical feasibility.

Required Skills & Experience:

• Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong expertise in Power BI: data modeling, DAX, Power Query (M Language), and visualization best practices.
• Hands-on with Python and SQL for data analysis, automation, and backend data transformation.
• Deep understanding of data storytelling, visual best practices, and dashboard performance tuning.
• Familiarity with DAX Studio and Tabular Editor.
• Experience in handling high-volume data in production environment.
• Exposure to Big Data technologies such as:
• PySpark (must have)
• Hadoop
• Hive / HDFS
• Spark Streaming (optional but preferred)

Why Join Us?

• Work with a team that's passionate about data innovation.
• Exposure to modern data stack and tools.
• Flat structure and collaborative culture.
• Opportunity to influence data strategy and architecture decisions.

About GeniWay

GeniWay Technologies is building AI-powered products that help students learn effectively and make confident education and career decisions.

Our first product, Clario, combines multidimensional student assessment, career intelligence, personalized guidance, and AI-assisted counselling for Indian students and families.

With Clario’s initial platform nearing completion, our next major ambition is to build an AI-powered personalized learning platform that adapts learning experiences to each student’s knowledge, goals, learning patterns, motivation, and progress.

We are looking for an AI-native engineering leader to help turn this ambition into a trusted, scalable product.

The Opportunity

We are hiring a Founding AI Engineering Lead, CTO Track to become GeniWay’s full-time technical operating leader.

Your primary mandate will be to lead the engineering of our AI-powered personalized learning platform. You will also own the continued evolution, reliability, and scale-readiness of Clario.

This is not a conventional engineering management role or a role limited to integrating third-party AI APIs. It requires someone who can combine:

• deep applied-AI expertise;
• strong product and architectural judgment;
• hands-on full-stack engineering;
• engineering-team leadership; and
• responsible deployment of AI for students.

For an exceptional leader who demonstrates sustained company-level technology leadership, this role offers a credible pathway toward becoming GeniWay’s future CTO.

What You Will Build

The personalized learning platform is expected to progressively support:

• continuously evolving learner profiles;
• personalized learning pathways and interventions;
• adaptive content, practice, and assessments;
• AI tutors, mentors, and learning companions;
• multi-agent workflows for learning support and content operations;
• student progress, mastery, and engagement intelligence;
• evidence-grounded recommendations for students, parents, and educators;
• responsible human oversight, safety, and explainability.

You will help define the architecture, technical strategy, and delivery roadmap required to build these capabilities responsibly.

What You Will Own

AI Product and Platform Engineering

• Own the architecture and engineering of GeniWay’s personalized learning platform.
• Translate learning-product concepts into reliable AI-powered experiences.
• Design and build GenAI, agentic-AI, and ML-enabled workflows.
• Determine when to use LLMs, deterministic logic, retrieval, conventional ML, or human review.
• Build reusable AI-platform capabilities instead of isolated prompt-based features.
• Lead experimentation, evaluation, production deployment, and continuous improvement of AI capabilities.

Applied AI Quality and Safety

• Establish evaluation frameworks for accuracy, relevance, personalization, consistency, latency, and cost.
• Design safeguards against hallucinations, unsafe guidance, bias, prompt injection, and inappropriate student interactions.
• Build observability and feedback loops for AI behaviour in production.
• Ensure student-facing AI systems are explainable, privacy-conscious, age-appropriate, and human-supervised where required.
• Work with product and domain specialists to validate educational usefulness, not merely technical performance.

Product Engineering and Delivery

• Own end-to-end engineering delivery across AI, backend, frontend, data, and infrastructure.
• Lead or personally implement critical product capabilities when required.
• Establish predictable planning, development, testing, release, and incident-management practices.
• Scale and strengthen Clario while building the next product platform.
• Balance speed, product quality, maintainability, scalability, and operating cost.

Architecture and Data Foundations

• Define and evolve the application, AI, data, and cloud architecture.
• Build secure foundations for learner profiles, content intelligence, personalization, and analytics.
• Establish effective data pipelines, model interfaces, APIs, and platform services.
• Make pragmatic build-versus-buy and model-selection decisions.
• Reduce technical debt and material technology risks systematically.

Team and Technology Leadership

• Lead, mentor, and raise the effectiveness of the engineering team.
• Build strong AI and software-engineering practices across the organization.
• Help recruit future AI, data, and product engineers.
• Work closely with the Founder on product strategy, priorities, and technology investments.
• Develop GeniWay’s longer-term technology strategy and engineering organization.

Essential Capabilities

• Strong hands-on experience building and operating AI-powered products in production.
• Deep practical understanding of GenAI application architecture, LLM behaviour, prompting, context engineering, and structured outputs.
• Experience building agentic or multi-step AI workflows with appropriate controls and observability.
• Experience with retrieval-augmented generation, embeddings, semantic search, or knowledge systems.
• Ability to evaluate AI quality systematically rather than relying on subjective demonstrations.
• Strong Python, backend, API, database, and system-design capabilities.
• Ability to lead full-stack product engineering beyond the AI layer.
• Experience leading engineers and owning complex product delivery.
• Strong product judgment and ability to translate ambiguous goals into executable plans.
• High ownership, urgency, reliability, and transparent communication.

Strongly Preferred

• Experience building personalization, recommendation, adaptive-learning, tutoring, or conversational-AI products.
• Practical AI/ML experience involving experimentation, feature engineering, model evaluation, or predictive systems.
• Experience with LLMOps or MLOps, including evaluation, monitoring, versioning, and deployment.
• Experience designing AI guardrails and responsible student-facing systems.
• Experience as a founding engineer, technical lead, or early engineering leader.
• Experience building AI-native products from zero to one.
• Interest in learning science, education, and student outcomes.

What We Are Not Looking For

• A pure people manager who is no longer technically hands-on.
• A research-only AI specialist without strong product-engineering capability.
• Someone whose GenAI experience is limited to basic chatbot or API integrations.
• A generalist engineering leader with little evidence of applied-AI delivery.
• An advisor seeking influence without full-time operating accountability.

What Success Looks Like

First 90 Days

• Take operational ownership of GeniWay’s engineering function.
• Understand and strengthen Clario’s architecture, quality, and scale-readiness.
• Define the technical architecture and phased roadmap for the personalized learning platform.
• Establish AI evaluation, safety, engineering-quality, and release practices.
• Improve team accountability, execution rhythm, and delivery predictability.

First 6-9 Months

• Deliver the first meaningful version of the personalized learning platform.
• Establish reusable foundations for learner modelling, personalization, AI agents, evaluation, and observability.
• Demonstrate measurable educational and product value from AI capabilities.
• Build a dependable engineering and AI delivery organization.
• Demonstrate readiness for broader CTO-level responsibility.

Compensation and Growth

• Fixed compensation: ₹20L–₹25L per annum, based on capability and experience
• Performance-linked variable: Up to 15%–20%, tied to agreed outcomes
• Initial ESOP grant: Approximately 0.75%–1.25%, based on fit and expected ownership
• Leadership equity top-up: Potential additional 0.5%–1% after 12–18 months, based on sustained contribution and evolution toward CTO-level responsibility
• Leadership review: Formal assessment after six months, followed by a broader role and compensation review after 12 months

The CTO pathway is earned through demonstrated technology strategy, AI-product leadership, organizational impact, and company-level ownership.

Selected candidates will complete structured discussions covering applied-AI depth, architecture, hands-on engineering, product judgment, responsible AI, leadership approach, and long-term alignment.

5-10 years of experience with the following :

1. Programming Languages: Proficient in Python

2. Databases & Search: Hands-on experience with Elasticsearch and SQLite

3. Development Tools: Strong working knowledge of Visual Studio and VS Code

4. Software Design: Solid understanding of OOP principles, SOLID design patterns, and system design

5. Data & Backend Development: Experience with Python data and backend frameworks including Pandas, Flask, and FastMCP

Experience building agent-based systems using MCP (Model Context Protocol) is added advantage

Key Skills to Succeed in This Role:

• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred

Good to Have:

• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare

Responsibilities:

• Lead architecture, technical decisions, and ensure code quality, scalability, and performance
• Develop backend systems using Python & SQL; build APIs and optimize databases
• Work with frontend (React/Angular) and API-driven architectures
• Integrate AI/ML models and support analytics/LLM-based solutions
• Manage cloud deployments (Azure/AWS) and implement CI/CD practices
• Ensure system reliability, monitoring, and production readiness
• Mentor team members, conduct reviews, and collaborate with cross-functional teams

Senior Software Engineer

Location: Pune, India (Hybrid)

Job Type: Full-Time

About This Role

As a Senior Software Engineer, you are a full-stack technical owner. You design the solution, write the hard code, mentor junior engineers, and ensure nothing reaches production that you would not be proud to review. You will work on cloud-native healthcare platforms serving major US health plans, and are expected to bring architecture thinking, AI proficiency, and a high ownership mindset to every sprint.

About Us

We are the Solutions-as-a-Service arm who represents a shift from traditional outsourcing models toward outcome-led execution.

We do not sell effort, transactions, or headcount. It delivers measurable business outcomes. Built on more than 130 years of combined healthcare payer expertise, the organization brings together deep domain knowledge, AI-driven platforms, and operational excellence to solve complex challenges across the payer ecosystem.

The group’s flagship company has spent over 17 years building cloud-native platforms that support health plans managing billions in premiums and millions of members. These capabilities are extended and positioned as the Industry OS for AI, enabling intelligent automation of complex workflows at scale. We integrate these strengths into a single execution model. Teams are embedded with clients from day one, applying proven workflows, platform intelligence, and domain expertise to accelerate outcomes without a learning curve.

With headquarters in Chicago and a global delivery center in Pune, and a team of 300+ professionals, we are focused on transforming payer operations across claims, enrollment, billing, provider data management, appeals and grievances, and independent dispute resolution.

What You’ll Do

•Own end-to-end design and delivery of full-stack features across .NET Core backend and React frontend

•Lead technical design sessions - propose solutions, evaluate trade-offs, document decisions

•Mentor and code-review junior and mid-level engineers; raise the technical bar of the team

•Communicate proactively with business teams, product, and client-facing leads on requirements and delivery timelines

•Troubleshoot and resolve complex production issues independently and with speed

•Enforce source code quality standards: pull request hygiene, branching discipline, and test coverage gates

•Drive Agile sprint ceremonies - own estimation, WBS breakdown, and sprint commitment

•Architect and integrate Azure PaaS services into the platform including AKS, App Services, Function Apps, Service Bus, and Key Vault

•Champion Claude AI and Claude Code across the team - demonstrate AI-assisted code scaffolding, test generation, and review acceleration

•Surface technical risks early; propose and own mitigation paths

Tech Stack

•App: .NET Core / C#, ASP.NET Core Web API, Entity Framework Core

•Frontend: React JS, JavaScript / TypeScript

•Scripting: Python - scripting, automation, and data processing

•Data: SQL Server, PostgreSQL, T-SQL, CQRS / MediatR

•Cloud: Azure AKS, App Services, Function Apps, Service Bus, Key Vault

•Delivery: Azure DevOps, CI/CD pipelines, Git

•AI: Claude AI, Claude Code, Anthropic API

What You Bring

•5 to 8 years of overall experience in software development

•.NET Core (C#) - deep, production-grade experience with complex backend systems

•ASP.NET Core Web API - design, versioning, authentication, and performance tuning

•React JS - component architecture, state management, and performance optimization

•Python - scripting, automation pipelines, or data processing tasks

•SQL Server and/or PostgreSQL - advanced query design, indexing, execution plans, and schema ownership

•CQRS pattern - practical implementation experience, MediatR preferred

•Design Patterns and SOLID Principles - applied, not just theoretical

•Entity Framework Core - including migrations, raw SQL fallback, and N+1 awareness

•Azure DevOps - pipeline creation and management, not just consumption

•Strong analytical and problem-solving skills - you debug what others cannot

•Excellent written and verbal communication in English

•Degree in Engineering, Computer Science, or equivalent from a recognized university

Good to Have

•Azure PaaS services - AKS, App Services, Function Apps, Service Bus, Key Vault, API Management

•Microservices architecture and inter-service communication patterns

•Unit and integration testing frameworks such as xUnit, NUnit, Moq, or TestContainers

•PostgreSQL advanced features - JSONB, partitioning, replication, or indexing strategies

•Infrastructure-as-Code exposure with Bicep or Terraform on Azure

•Healthcare payer domain knowledge - claims, enrollment, benefits, or provider data

•Familiarity with Anthropic API or LLM integration patterns in production applications

AI Proficiency

This is not a checkbox. We are an AI-native engineering org. We use Claude AI and Claude Code daily. As a Senior Engineer you are expected to:

•Use Claude Code or an equivalent AI coding assistant actively - integrated into your daily PR and design workflow

•Apply AI for intelligent test coverage, boilerplate acceleration, and architectural spike analysis

•Bring AI-assisted patterns into your team - teach, demonstrate, and help standardize usage

•Evaluate AI-generated code critically: know where it needs human oversight and correction

Functional Competencies

•Technical leadership - raise the quality bar through standards, reviews, and visible contribution

•Agile/Scrum mastery - sprint planning, retrospectives, and WBS discipline

•Cross-functional collaboration with product, infrastructure, and client-facing teams

•Mentorship - you make junior engineers better through reviews and pairing, not just criticism

•Outcome orientation - you measure success by shipped value and defect escape rate, not lines of code

Why Join Us

•Own complex, high-stakes engineering on healthcare SaaS platforms serving millions of members

•AI-native culture - Claude AI and Claude Code are daily tools, and you will help define how the team uses them

•Senior engineering voice in architecture, hiring, and technical direction

•Competitive base salary with strong performance-linked incentives

•Health insurance and learning and development support

•Hybrid setup from our Pune delivery center with direct access to US leadership

•Startup agility, enterprise domain depth, and a 300+ person global team behind you

Are you looking to break out of the silo of pure-tech engineering and build systems that directly move millions in global revenue? If you want to own an entire, high-impact platform end-to-end and see the immediate business value of your code every single day, this is your playground. At Ultrahuman, you will act as a critical bridge between deep engineering and global market execution, turning data intelligence into autonomous, revenue-driving action across 100+ countries. 

About the Company: 

Ultrahuman is one of the world's fastest-growing wearable companies. The Ultrahuman Ring AIR — the world's lightest sleep-tracking smart ring — sells in 100+ countries. We operate like a product company in every function, and marketplaces is no exception: our Amazon business across the UK, Germany, Canada, Australia, India, the UAE and beyond runs on uh-amazon, an in-house platform we built ourselves. 

Role: Marketplace Platform Engineer 

Location: Begur, Bengaluru 

Schedule: Hybrid. 

Marketplace Platform Engineer 

Turn a read-only intelligence platform into the hands that run a global Amazon business. 

Why this role exists 

uh-amazon already does the seeing: a fleet of agents producing daily intelligence across every marketplace, an automated fulfillment middleware that intercepts and routes every order, and a self-hosted agent platform the team uses without writing code. But it writes almost nothing back to Amazon — every ads change, price correction, and listing push is still done by hand. That write side is unbuilt, and it is worth more than the entire team's cost: the daily briefs already flag large sums of recoverable ad spend that no one has the hands to recover. You will be the platform's owner and the team's force multiplier. 

What you'll own 

• The uh-amazon codebase end-to-end — the FastAPI middleware, the agent fleet, the self-hosted agent platform, and the deploy pipeline 
• The write side, behind staged approval gates — the order-management bridge first, then ads execution, repricing, and listing-push agents, each earning the right to act 
• Platform trust — kill the false-positive classes and fix the chronically failing agents, so the team acts on the briefs instead of second-guessing them 
• Operator self-serve — the team adds and tunes agents through the platform without touching code 

Your first 90 days 

• Ship the order-management bridge that removes the last manual step in fulfillment 
• Ship the first ads-execution agent behind a human approval gate, working the platform's existing recommendation lists 
• Eliminate the top false-positive classes in the daily briefs 

What we're looking for 

• Strong Python (FastAPI or similar) and real API-integration depth — OAuth, rate limits, retries, idempotency; you have built against messy third-party APIs in production 
• LLM-agent experience — you have built tool-using agents or LLM pipelines, designed prompts and tool schemas, and debugged why a model did something 
• Ship-fast evidence — small PRs, production ownership, comfort being the only engineer on a system 
• Comfort owning production writes against a live revenue channel, with gates and audit trails you design 

Strongly preferred 

• Amazon SP-API or Ads API experience specifically — this collapses your ramp to near zero 
• E-commerce domain (order management, marketplaces, repricing, feeds); container/orchestration experience 
• A public GitHub with real contributions 

About the Internship

Nexora Group is seeking motivated and analytical students who are passionate about Data Science, Artificial Intelligence, and Machine Learning. This internship offers hands-on experience working with real-world datasets, AI-driven technologies, predictive analytics, and data visualization techniques.

Interns will gain practical exposure to data analysis workflows, AI-powered solutions, and industry-oriented projects while developing skills that are highly valued in today's technology landscape. Nexora Group focuses on innovation and technology-driven solutions across AI, digital experiences, and emerging technologies.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured datasets.
• Perform Exploratory Data Analysis (EDA) to identify trends and patterns.
• Develop and evaluate Machine Learning models.
• Work with AI and Generative AI tools for data-driven solutions.
• Create dashboards, reports, and visualizations.
• Assist in predictive analytics and business intelligence projects.
• Document findings and present insights to mentors.
• Collaborate with team members on real-world projects.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Data Science and Machine Learning concepts.
• Familiarity with Pandas, NumPy, and data visualization libraries.
• Basic understanding of statistics and data analysis.
• Knowledge of SQL is a plus.
• Strong analytical and problem-solving abilities.
• Passion for Artificial Intelligence and emerging technologies.

Eligibility

• B.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
• Students pursuing Data Science, Computer Science, AI, IT, Mathematics, Statistics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Data Analysis & Visualization

✅ Machine Learning Fundamentals

✅ Artificial Intelligence Applications

✅ Generative AI Tools & Techniques

✅ Predictive Analytics

✅ Business Intelligence Concepts

✅ Industry-Oriented Project Development

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on Industry Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to AI & Data-Driven Technologies

About the Internship

LetsIntern is offering an exciting opportunity for students passionate about Bioinformatics, Computational Biology, Genomics, and Biotechnology. This internship is designed to provide practical exposure to biological data analysis, genomic research, bioinformatics tools, and modern computational techniques used in the life sciences industry.

Interns will work on industry-oriented projects, gain hands-on experience with bioinformatics workflows, and develop valuable skills that are highly sought after in biotechnology, healthcare, pharmaceutical, and research organizations.

Key Responsibilities

• Assist in the analysis and interpretation of biological datasets.
• Work with genomic, proteomic, and sequence-based data.
• Perform literature reviews and scientific research.
• Learn and apply bioinformatics tools and databases.
• Support data collection, cleaning, and organization activities.
• Prepare reports, presentations, and project documentation.
• Collaborate with mentors and team members on assigned tasks.
• Participate in training sessions and project discussions.

Required Skills

• Basic understanding of Biotechnology, Bioinformatics, Genetics, or Molecular Biology.
• Interest in biological data analysis and computational biology.
• Familiarity with biological databases and research methods is a plus.
• Basic knowledge of Python, R, or data analysis tools is beneficial but not mandatory.
• Strong analytical and problem-solving skills.
• Good communication and documentation abilities.

Eligibility

• B.Sc., M.Sc., B.Tech, M.Tech, B.Pharm, M.Pharm, or related Life Science disciplines.
• Students pursuing Biotechnology, Bioinformatics, Genetics, Genomics, Microbiology, Computational Biology, Biochemistry, or related fields.
• Freshers and recent graduates are welcome to apply.

What You Will Learn

✅ Bioinformatics Fundamentals

✅ Genomics & Sequence Analysis

✅ Biological Databases & Research Tools

✅ Computational Biology Concepts

✅ Data Analysis in Life Sciences

✅ Scientific Research Methodologies

✅ Industry-Oriented Project Experience

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on Project Experience

✅ Mentorship from Industry Professionals

✅ Resume & LinkedIn Profile Enhancement

✅ Opportunity to Build a Professional Portfolio

✅ Exposure to Emerging Trends in Bioinformatics and Genomics

Role & Responsibilities

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high quality cloud based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate

• Strong Software Engineer fullstack profile using NodeJS, Python, and React
• Mandatory (Experience) - Must have 6+ YOE in Software Development using Python and NodeJS (For backend) & React (For frontend)
• Mandatory (Core Skills 1): Must have strong experience in working on Typescript
• Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis
• Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB
• Mandatory (Company) - Product Companies Only
• Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies
• Mandatory (Note) : This role is a hybrid role (2 days WFO)
• Preferred (Experience): Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Preferred (Mentoring): Experience in mentoring, coaching the team.

About Marseer AI

Marseer AI (www.marseerai.com) is a Seattle-based company building an AI-powered marketing intelligence platform for DTC and retail e-commerce brands. The platform combines brand strategy, customer data, automation, and generative AI to help marketing teams drive consistent, data-driven engagement across email, SMS, paid media, SEO, and affiliate channels.

Role Overview

We are looking for an experienced AI Engineer - Full Stack Developer to join the Marseer platform team. This is a dual-track role: you will build and maintain AI agent pipelines, LLM integrations, and RAG-based intelligence systems on the backend, while also owning frontend interfaces that surface insights, recommendations, and campaign outputs to marketing teams and brand operators.

You should be equally comfortable designing multi-step agentic workflows in Python and building clean, responsive product interfaces in React/Next.js. You understand how LLMs behave in production, know how to engineer prompts and tool chains for reliability, and care deeply about the end-to-end user experience.

What You Will Do

- Design and implement multi-step AI agent workflows using LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar.

- Build and maintain RAG pipelines, including chunking strategies, embedding generation, vector store management, and retrieval tuning.

- Integrate with LLM providers such as OpenAI, Anthropic, or others, including prompt engineering, tool/function calling, structured output generation, and context window management.

- Develop AI-driven features such as campaign brief generation, audience recommendations, content variant creation, and performance insight summarization.

- Implement evaluation and observability frameworks to monitor LLM output quality, latency, and cost in production.

- Build frontend interfaces using React and Next.js, including dashboards, agent interaction UIs, campaign builders, and insight surfaces.

- Design and implement RESTful and/or GraphQL APIs in Python (FastAPI or Flask) or Node.js to serve AI outputs to the frontend.

- Integrate frontend with backend AI services, streaming LLM responses, and real-time status updates.

- Work with structured and unstructured marketing data, campaign performance metrics, audience segments, content libraries, and brand strategy documents.

- Integrate with marketing platforms and data sources such as Klaviyo, Google Ads, Meta, and Shopify.

Requirements

- 5-10 years of professional software engineering experience, with meaningful time in both backend and frontend development.

- Proven experience building and deploying LLM-powered applications in production, not just prototypes.

- Strong proficiency in Python for backend and AI development.

- Strong proficiency in React and Next.js for frontend development.

- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or equivalent.

- Experience building RAG pipelines, vector stores such as Pinecone, Weaviate, pgvector, or similar, embedding models, and retrieval strategies.

- Experience with API design, REST or GraphQL, and backend service architecture.

Strongly Preferred

- Experience designing and building multi-agent or agentic AI systems with tool use, memory, and planning capabilities.

- Familiarity with prompt engineering best practices, structured output generation, and LLM evaluation methodologies.

- Experience with streaming LLM responses and real-time UI updates using SSE or WebSockets.

- Prior work in a SaaS product company shipping production features.

- Familiarity with marketing platforms, e-commerce data, or martech ecosystems.

Good to Have

- TypeScript and modern frontend tooling such as Tailwind CSS or shadcn/ui.

- Familiarity with Snowflake or other cloud data warehouses as data sources for AI pipelines.

- Experience with observability tools for LLM applications such as LangSmith, Helicone, Arize, or similar.

- Understanding of marketing concepts such as segmentation, campaign lifecycle, attribution, and content personalization.

What We Are Looking For

- Availability to work US business hours; overlap with US Eastern or Pacific timezone is required for client collaboration and team standups.

- Strong written and verbal English communication.

- Product sense and ownership mindset.

- Comfort with ambiguity in non-deterministic LLM-powered systems.

- Collaborative working style across engineering, design, and client-facing functions.

What We Offer

- Competitive compensation based on experience.

- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.

- High-impact work at the frontier of applied AI for marketing and e-commerce.

- Direct exposure to real brand problems, real data, and real production AI systems.

- A small, senior team where your architecture decisions matter and your contributions are visible.

Key Responsibilities

Backend Development

• Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript.
• Build high-performance microservices and APIs for AI-driven products.
• Develop fault-tolerant, secure, and maintainable distributed systems.
• Design event-driven architectures and asynchronous processing pipelines.
• Implement caching, message queues, and database optimization strategies.

AI & Machine Learning Integration

• Build and maintain backend infrastructure supporting LLMs, Generative AI, RAG systems, and AI Agents.
• Integrate models from providers such as OpenAI, Anthropic, Gemini, and open-source LLMs.
• Develop vector search solutions using Pinecone, Weaviate, Qdrant, or similar technologies.
• Build AI workflows for content generation, summarization, sentiment analysis, and conversational intelligence.
• Optimize AI inference pipelines for performance and cost efficiency.

System Architecture

• Design scalable architectures capable of handling high traffic and large volumes of data.
• Develop real-time processing systems and data pipelines.
• Implement observability, monitoring, logging, and alerting mechanisms.
• Drive performance tuning and latency optimization across services.

Cloud & DevOps

• Deploy and manage applications on AWS, GCP, or Azure.
• Work with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Ensure system reliability, security, and scalability. 

Role Overview

The Senior AI/ Machine Learning Engineer will design, build, and optimise the core intelligence layer that powers Cliply’s video understanding and content analysis platform.

This role blends deep hands-on engineering with architectural ownership. You will work across video, audio, and text modalities, shaping model design while also delivering production-ready ML systems. You will be the technical anchor for Cliply’s AI stack, partnering closely with the Lead Architect and the engineering team to bring research concepts into scalable, real-world systems.

Key Responsibilities

Multimodal & Video ML Architecture

• Design and validate deep learning architectures for video, audio, and text understanding, including temporal modelling and multimodal fusion.
• Define approaches for long-sequence modelling, representation learning, and sequence-to-sequence tasks.
• Lead experiments with transformers, vision transformers, video encoders, and hybrid multimodal architectures.

Model Development & Optimisation

• Build and optimise models for content understanding, highlight detection, ranking, and scoring.
• Implement training pipelines, data loaders, augmentations, and evaluation metrics for large-scale video datasets.
• Optimize models for latency, throughput, and GPU efficiency using techniques such as quantization, pruning, distillation, batching, and ONNX/TensorRT.

Production ML Engineering

• Convert prototypes into robust, production-ready services.
• Collaborate with backend engineers to deploy models via scalable APIs and micro-services.
• Monitor model performance in production and design retraining loops for continuous improvement.

Technical Leadership

• Establish best practices for experimentation, evaluation, documentation, and reproducibility.
• Provide mentorship to junior engineers and contribute to Cliply’s long-term AI roadmap.
• Influence architectural decisions across the AI stack to ensure scalability and reliability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• 5–10+ years of experience as an ML Engineer, Applied Scientist, or similar role.
• Strong proficiency in PyTorch or TensorFlow, with hands-on experience training deep learning models.
• Deep expertise in multimodal video machine learning,
• Expertise in at least two of the following:

1. Video understanding / video ML
2. Computer vision
3. Speech/audio processing
4. Natural language processing
5. Multimodal fusion

• Experience with GPU training, distributed training, and large-scale datasets.
• Strong understanding of model optimization (quantization, pruning, distillation, ONNX/TensorRT).
• Solid software engineering fundamentals (Python, version control, testing, code review).

Preferred Qualifications

• Experience with multimodal architectures (video-text, audio-text, cross-modal transformers).
• Experience with MLOps tooling (MLflow, Weights & Biases).
• Prior work in startup environments or fast-paced product teams.
• Contributions to open-source ML projects or competitive ML experience (e.g., Kaggle).

Why Join Cliply

• Build the core intelligence layer of a next-generation video understanding platform.
• Own end-to-end architecture and model design - your work becomes the product.
• Work with a founder-led team that values technical excellence, autonomy, and speed.
• Shape the future of multimodal AI in a real product used by creators and enterprises.

Who are we :

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do :

We build powerful analytics in the US and Indian stock market space that are best in class. Organic growth in B2B and B2C products have already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Tech Stack :

• Python (Django / Flask / FastAPI )
• PostgreSQL / MySQL
• Redis / caching systems
• REST APIs

Job Responsibilities :

• Develop and maintain scalable, robust backend systems using Python frameworks.
• Work closely with product managers and other cross-functional teams to help define, scope, and deliver world-class products and high-quality features addressing key user needs.
• Translate requirements into system architecture and implement code while considering performance issues of dealing with billions of rows of data and serving millions of API requests every hour.
• Ability to take full ownership of the software development lifecycle from requirement to release.
• Writing and maintaining clear technical documentation enabling other engineers to step in and deliver efficiently.
• Embrace design and code reviews to deliver quality code.
• Play a key role in taking Trendlyne to the next level as a world-class engineering team
• Develop and iterate on best practices for the development team, ensuring adherence through code reviews.
• As part of the core team, you will be working on cutting-edge technologies like AI products, online backtesting, data visualization, and machine learning.
• Proficient understanding of the performance of web and mobile applications.

Job Requirements :

• 1+ years of experience with Python and Django / Flask / FastAPI.
• Good knowledge of APIs, databases, and system performance.
• Strong understanding of relational databases like PostgreSQL or MySQL and Redis.
• Ownership mindset: you build, ship, and improve.
• (Optional): Experience with web front-end technologies such as JavaScript, HTML, and CSS

Experience: 2+ Years

Mandatory Skills: Data Analysis, Data Mining, Data Validation, Python, SQL, Power BI, Advanced Excel

Data Analyst

We are looking for 1 Developer/Analyst to support data analysis, data mapping, and report automation initiatives. This is an entry-level role with structured training, ideal for candidates who are detail-oriented, proactive, and capable of working independently in a fast-paced environment.

Key Responsibilities

• Perform data analysis and data validation across various datasets.
• Execute data mapping activities between source and target systems.
• Support report automation and templating tasks (training will be provided).
• Participate in User Acceptance Testing (UAT) to validate report outputs and workflows.
• Manage multiple report automation tasks simultaneously with strong attention to timelines.
• Proactively provide status updates, identify risks, and escalate blockers in a timely manner.
• Ensure high-quality delivery without requiring follow-ups or supervision.
• Collaborate closely with the client team (onshore/offshore alignment as applicable).

Key Skills & Qualifications

• Bachelor’s degree in Engineering, Computer Science, IT, or a related field.
• Strong analytical and problem-solving skills.
• Basic understanding of data handling, Excel, and reporting concepts.
• Ability to manage multiple tasks and meet committed deadlines.
• Strong communication skills (verbal and written).
• High level of ownership, accountability, and self-driven execution.

Preferred Skills (Good to Have)

• Exposure to Seismic and/or SmartDX platforms.
• Familiarity with reporting tools, data transformation, or automation concepts.
• Prior internship/project experience in data analysis or reporting.

Passionate about education? Join us at CK-12 !!

CK-12 (www.ck12.org) is on the lookout for talented, creative, and dedicated people to join our mission to provide great education to students around the world. We are looking for candidates to join our office in Bangalore.

We have a strong education platform that has served over 352+ Million users, have got over 2.88+ Billion questions answered, and have more than 350 thousand customized Flexbooks. We have embarked on an exciting journey to build an AI-powered student tutor and Teacher Assistant to build the next generation of learning platforms.

About CK-12 Foundation

CK-12’s mission is to provide free access to open-source content and technology tools that empower students as well as teachers to enhance and experiment with different learning styles, resources, levels of competence, and circumstances.

To achieve this noble and ambitious vision, we at CK-12 are challenging the traditional model of education to transform it dramatically. Technology has opened up lots of opportunities to revolutionize education for the benefit of students, teachers and parents.

We have chosen to be non-profit so that we can effectively realize our mission and do the right thing! It also provides us with the ability to experiment with big and bold ideas. CK-12 is backed by Vinod Khosla, a renowned technology venture capitalist.

At CK-12, you’ll experience the benefits of working in a dynamic, entrepreneurial, innovative and non-bureaucratic environment where you will get a lot of cool things done than you ever imagined! We are a small group of passionate folks who are determined to disrupt the current form of education.

Technology is key to scale education and we deeply believe in it. Come develop great solutions on our cloud-based (AWS) and AI-first platform delivering rich and interactive content.

Does our mission, people and technologies excite you? If the answer is YES! and you are a great technologist who will challenge status-quo (no order takers please!) by innovating, please come join us! Together, we will change the world!

Check out our latest product offerings

• Introducing Flexi 2.0
• Flexi, our AI-powered Student Tutor – https://www.flexi.org/
• AI-powered Teacher Assistant – https://www.ck12.org/pages/teacher-assistant/

Location: https://goo.gl/maps/NkA2Hr8JhtE3raWr5

Backend Engineer

Basic

● Design, maintain, and monitor infrastructure for data products

● Design and develop RESTful APIs for the data infrastructure

● Design, implement and drive adoption of new analytic technologies and solutions

● Work closely with data scientists, front end engineers and peers to gather requirements and

develop solutions

● Handle and resolve issues escalated from the production operational environment.

● Troubleshoot performance, reliability, and scalability issues.

● Excellent Problem solving skills

● A Code Craftsman that follows best software development and coding practices delivering

understandable and maintainable code with thorough unit tests coverage

Requirements

● 6+ years of development experience with Java, Scala, and/or Python

● Experience with writing and executing queries on RDBMS and NoSQL databases. Working knowledge of MongoDB, MySQL. We are not looking for a DBA.

● Experience with ElasticSearch, OpenSearch, Vector Embeddings, and large-scale search systems.

● Experience designing and operating high-throughput, low-latency backend services in production environments.

● Experience with horizontal and vertical scaling strategies, load balancing, caching, rate

limiting, and performance optimization.

● Experience identifying and resolving application bottlenecks through profiling, monitoring, and performance tuning.

● Experience in virtualization technologies and deployment frameworks (familiarity with working on UNIX shell, Jenkins.)

● Bachelors or masters degree in computer science or equivalent

Desired

● Experience working with FastAPI/Pylons Web Framework.

● Familiarity with messaging and distributed processing systems such as RabbitMQ, Kafka, SQS, or Celery.

● Experience designing systems to support millions of requests, large datasets, and high-concurrency workloads.

● Adept at AI Coding assistants, leveraging them beyond prompting. Working experience in Skill and tool development and usage in AI Coding tools.

● Experience with AWS EC2, Redshift, RDS, S3

Hiring for Azure Data Lead

Exp : 12 - 16 yrs

Edu : BE/B.tech

Permanent Remote

Notice period : Immediate - 15 days

Skills :

Microsoft Fabric (OneLake, Lakehouse, Warehouse)

Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Gen2, Delta Lake / Medallion Architecture

Power BI (Semantic layer, DAX)

Databricks SQL & T-SQL, PySpark / Python

Data Modelling (Star/Snowflake)CI/CD & DevOps for Data (Git, Pipelines)

8+ years data engineering / 3+ as leadTechnical leadership & stakeholder management