50+ Python Jobs in Bangalore (Bengaluru) | Python Job openings in Bangalore (Bengaluru)

This opportunity through ClanX is for Parspec (direct payroll with Parspec)

Please note you would be interviewed for this role at Parspec while ClanX is a recruitment partner helping Parspec find the right candidates and manage the hiring process.

Parspec is hiring a Machine Learning Engineer to build state-of-the-art AI systems, focusing on NLP, LLMs, and computer vision in a high-growth, product-led environment.

Company Details:

Parspec is a fast-growing technology startup revolutionizing the construction supply chain. By digitizing and automating critical workflows, Parspec empowers sales teams with intelligent tools to drive efficiency and close more deals. With a mission to bring a data-driven future to the construction industry, Parspec blends deep domain knowledge with AI expertise.

Requirements:

• Bachelor’s or Master’s degree in Science or Engineering.
• 5-7 years of experience in ML and data science.
• Recent hands-on work with LLMs, including fine-tuning, RAG, agent flows, and integrations.
• Strong understanding of foundational models and transformers.
• Solid grasp of ML and DL fundamentals, with experience in CV and NLP.
• Recent experience working with large datasets.
• Python experience with ML libraries like numpy, pandas, sklearn, matplotlib, nltk and others.
• Experience with frameworks like Hugging Face, Spacy, BERT, TensorFlow, PyTorch, OpenRouter or Modal.

Requirements:

Must haves

• Design, develop, and deploy NLP, CV, and recommendation systems
• Train and implement deep learning models
• Research and explore novel ML architectures
• Build and maintain end-to-end ML pipelines
• Collaborate across product, design, and engineering teams
• Work closely with business stakeholders to shape product features
• Ensure high scalability and performance of AI solutions
• Uphold best practices in engineering and contribute to a culture of excellence
• Actively participate in R&D and innovation within the team

Good to haves

• Experience building scalable AI pipelines for extracting structured data from unstructured sources.
• Experience with cloud platforms, containerization, and managed AI services.
• Knowledge of MLOps practices, CI/CD, monitoring, and governance.
• Experience with AWS or Django.
• Familiarity with databases and web application architecture.
• Experience with OCR or PDF tools.

Responsibilities:

• Design, develop, and deploy NLP, CV, and recommendation systems
• Train and implement deep learning models
• Research and explore novel ML architectures
• Build and maintain end-to-end ML pipelines
• Collaborate across product, design, and engineering teams
• Work closely with business stakeholders to shape product features
• Ensure high scalability and performance of AI solutions
• Uphold best practices in engineering and contribute to a culture of excellence
• Actively participate in R&D and innovation within the team

Interview Process

1. Technical interview (coding, ML concepts, project walkthrough)
2. System design and architecture round
3. Culture fit and leadership interaction
4. Final offer discussion

This opportunity through ClanX is for Parspec (direct payroll with Parspec)

Please note you would be interviewed for this role at Parspec while ClanX is a recruitment partner helping Parspec find the right candidates and manage the hiring process.

Parspec is hiring a Machine Learning Engineer to build state-of-the-art AI systems, focusing on NLP, LLMs, and computer vision in a high-growth, product-led environment.

Company Details:

Parspec is a fast-growing technology startup revolutionizing the construction supply chain. By digitizing and automating critical workflows, Parspec empowers sales teams with intelligent tools to drive efficiency and close more deals. With a mission to bring a data-driven future to the construction industry, Parspec blends deep domain knowledge with AI expertise.

Requirements:

• 3 to 4 years of relevant experience in ML and AI roles
• Strong grasp of ML, deep learning, and model deployment
• Proficient in Python and libraries like numpy, pandas, sklearn, etc.
• Experience with TensorFlow/Keras or PyTorch
• Familiar with AWS/GCP platforms
• Strong coding skills and ability to ship production-ready solutions
• Bachelor's/Master's in Engineering or related field
• Curious, self-driven, and a fast learner
• Passionate about NLP, LLMs, and state-of-the-art AI technologies
• Comfortable with collaboration across globally distributed teams

Preferred (Not Mandatory):

• Experience with Django, databases, and full-stack environments
• Familiarity with OCR and PDF processing
• Competitive programming or Kaggle participation
• Prior work with distributed teams across time zones

Responsibilities:

• Design, develop, and deploy NLP, CV, and recommendation systems
• Train and implement deep learning models
• Research and explore novel ML architectures
• Build and maintain end-to-end ML pipelines
• Collaborate across product, design, and engineering teams
• Work closely with business stakeholders to shape product features
• Ensure high scalability and performance of AI solutions
• Uphold best practices in engineering and contribute to a culture of excellence
• Actively participate in R&D and innovation within the team

Interview Process

1. Technical interview (coding, ML concepts, project walkthrough)
2. System design and architecture round
3. Culture fit and leadership interaction
4. Final offer discussion

Apply- https://lnkd.in/gVHVTMG6

About Us

Binocs.co empowers institutional lenders with next-generation loan management software, streamlining the entire loan lifecycle and facilitating seamless interaction among stakeholders.

Team: Binocs.co is led by a passionate team with extensive experience in financial technology, lending, AI, and software development.

Investors: Our journey is backed by renowned investors who share our vision for transforming the loan management landscape: Beenext, Arkam Ventures, Accel, Saison Capital, Blume Ventures, Premji Invest, and Better Capital.

What we're looking for

We seek a motivated, talented, and intelligent individual who shares our vision of being a changemaker. We value individuals dissatisfied with the status quo, strive to make improvements, and envision making significant contributions. We look for those who embrace challenges and dedicate themselves to solutions. We seek individuals who push for data-driven decisions, are unconstrained by titles, and value collaboration. We are building a fast-paced team to shape various business and technology aspects.

Responsibilities

• Be a part of the initial team to define and set up a best-in-class digital platform for the Private Credit industry, and take full ownership of the components of the digital platform
• You will build robust and scalable web-based applications and need to think of platforms & reuse
• Driving and active contribution to High-Level Designs(HLDs) and Low-Level Designs (LLDs).
• Collaborate with frontend developers, product managers, and other stakeholders to understand requirements and translate them into technical specifications.
• Mentor team members in adopting effective coding practices. Conduct comprehensive code reviews, focusing on both functional and non-functional aspects.
• Ensure the security, performance, and reliability of backend systems through proper testing, monitoring, and optimization.
• Participate in code reviews, sprint planning, and agile development processes to maintain code quality and project timelines.
• Simply, be an owner of the platform and do whatever it takes to get the required output for customers
• Be curious about product problems and have an open mind to dive into new domains eg: gen-AI.
• Stay up-to-date with the latest development trends, tools, and technologies.

Qualifications

• 3-5 years of experience in backend development, with a strong track record of successfully architecting and implementing scalable and high-performance backend systems.
• Proficiency in at least one backend programming language (e.g.,Python, Golang, Node.js, Java) & tech stack to write maintainable, scalable, unit-tested code.
• Good understanding of databases (e.g. MySQL, PostgreSQL) and NoSQL (e.g. MongoDB, Elasticsearch, etc)
• Solid understanding of RESTful API design principles and best practices.
• Experience with multi-threading and concurrency programming
• Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces.
• Experience of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud Platform)
• Knowledge of Test Driven Development

Good to have

• Experience with microservices architecture
• Knowledge of serverless computing and event-driven architectures (e.g., AWS Lambda, Azure Functions)
• Understanding of DevOps practices and tools for continuous integration and deployment (CI/CD).
• Contributions to open-source projects or active participation in developer communities.
• Experience working LLMs and AI technologies

Benefits

By joining Binocs, you’ll become part of a vibrant and dynamic team dedicated to disrupting the fintech space with cutting-edge solutions. We offer a stimulating work environment where innovation is at the heart of everything we do. Our competitive compensation package, inclusive of equity, is designed to reward your contributions to our success.

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.

Experience Range: 5-10 Years

Role: Full Stack Developer

Key Responsibilities:

• Develop and maintain scalable web applications using React for frontend and Python (fast API/Flask/Django) for backend.
• Work with databases such as SQL, Postgres and MongoDB to design and manage robust data structures.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and fix bottlenecks and bugs.

·      Others: AWS, Snowflake, Azure, JIRA, CI/CD pipelines 

Key Requirements:

• React: Extensive experience in building complex frontend applications.
• Must to Have: Experience with Python (FAST API/ FLASK/ DJANGO).
• Required cloud experience – AWS OR Azure
• Experience with databases like SQL Postgres and MongoDB.
• Basic understanding of Data Fabric – Good to have
• Ability to work independently and as part of a team.
• Excellent problem-solving skills and attention to detail.

Frontend Technology Stack (Developers)

• Framework: React 18+ with TypeScript, Next.js
• State Management: Redux Toolkit with RTK Query for efficient data fetching
• UI Components: Material-UI v5 with custom enterprise design system
• Visualization: D3.js, Chart.js, and Plotly for advanced analytics dashboards
• Accessibility: WCAG 2.1 AA compliance with automated testing

Backend Technology Stack (Developers)

• Microservices: Python, Node.js ( latest) with Express.js and TypeScript
• API Gateway: API Gateway with rate limiting and authentication
• Message Queuing: Apache Kafka for real-time data streaming
• Caching: Redis Cluster for high-performance caching layer
• Search Engine: Elasticsearch for full-text search and analytics
• Authentication: OAuth 2.0 / OpenID Connect with enterprise SSO integration

 What We Offer 

•  Professional Development and Mentorship.
•  Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
•  Health and Family Insurance.
•  40+ Leaves per year along with maternity & paternity leaves.
•  Wellness, meditation and Counselling sessions.

Hello Candidate,

Greetings from Suventure!

PLease find the Job description below.

Job Title: Senior Python Developer (with or without Rust API experience)

Location: Bangalore, India

Company: Suventure Services Pvt. Ltd.

Work Mode: Work From Office (WFO)

Experience: 5+ Years

About Suventure Services Pvt. Ltd.

Suventure is a technology-driven organization delivering end-to-end solutions across Product Development, Cloud, AI, Analytics, and Mobility. We work with global clients to build innovative, scalable, and secure applications that power digital transformation and business growth.

Job Summary

We are seeking a highly skilled and motivated Python Developer with over 5 years of hands-on experience in backend development, API design, and scalable application architecture. Candidates with exposure to Rust API development will have an added advantage, though it is not mandatory. You’ll collaborate closely with cross-functional teams to deliver high-quality, performant, and maintainable code.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python (Flask / FastAPI / Django).
• Develop RESTful or GraphQL APIs and ensure seamless data integration between systems.
• Work on microservices architecture and implement clean, modular, and testable code.
• Optimize application performance, ensuring high availability and responsiveness.
• Collaborate with DevOps, frontend, and product teams for feature development and release cycles.
• Participate in code reviews, troubleshooting, debugging, and system enhancements.
• (Optional) Integrate and maintain APIs written in Rust or other high-performance languages.
• Write automated unit tests and follow best practices for CI/CD and version control (Git).

Required Skills & Experience

• Minimum 5 years of professional experience in Python development.
• Strong understanding of OOPs, design patterns, Data structures and software engineering principles.
• Hands-on experience with frameworks such as Flask, Django, or FastAPI.
• Experience with RESTful APIs, microservices, and asynchronous programming.
• Good understanding of SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis).
• Knowledge of Docker, Kubernetes, or AWS Cloud Services is a plus.
• Familiarity with Rust and its API ecosystem is an added advantage.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• 
  

About Newpage Solutions

Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges.

From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.

We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.

We foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.

Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize.

Your Mission

We’re seeking a highly experienced, technically exceptional AI Development Lead to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation—from model selection and orchestration design to scalable backend implementation—while collaborating with cross-functional teams to transform AI research into production-ready solutions.

This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.

What You’ll Do

• Architect, build, and optimize production-grade Generative AI applications using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, or custom orchestration layers.
• Lead the design of Agentic AI frameworks (Agno, AutoGen, CrewAI, etc.), enabling intelligent, goal-driven workflows with memory, reasoning, and contextual awareness.
• Develop and deploy Retrieval-Augmented Generation (RAG) systems integrating LLMs, vector databases, and real-time data pipelines.
• Design robust prompt engineering and refinement frameworks to improve reasoning quality, adaptability, and user relevance.
• Deliver high-performance backend systems using Python (FastAPI, Flask, or similar) aligned with SOLID principles, OOP, and clean architecture.
• Own the complete SDLC, including design, implementation, code reviews, testing, CI/CD, observability, and post-deployment monitoring.
• Use AI-assisted environments (e.g., Cursor, GitHub Copilot, Claude Code) to accelerate development while maintaining code quality and maintainability.
• Collaborate closely with MLOps engineers to containerize, scale, and deploy models using Docker, Kubernetes, and modern CI/CD pipelines.
• Integrate APIs from OpenAI, Anthropic, Cohere, Mistral, or open-source LLMs (Llama 3, Mixtral, etc.).
• Leverage VectorDB such as FAISS, Pinecone, Weaviate, or Chroma for semantic search, RAG, and context retrieval.
• Develop custom tools, libraries, and frameworks that improve development velocity and reliability across AI teams.
• Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.
• Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.
• Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.

What You Bring

• 8+ years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
• Python experience with strong grasp of OOP, SOLID, and scalable microservice architecture.
• Proven track record developing and deploying GenAI/LLM-based systems in production.
• Hands-on work with LangChain, LlamaIndex, or custom orchestration frameworks.
• Deep familiarity with OpenAI, Anthropic, Hugging Face, or open-source LLM APIs.
• Advanced understanding of prompt construction, optimization, and evaluation techniques.
• End-to-end implementation experience using vector databases and retrieval pipelines.
• Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).
• Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
• Are obsessed with clean code, system scalability, and performance optimization.
• Can balance rapid prototyping with long-term maintainability.
• Excel at working independently while collaborating effectively across teams.
• Stay ahead of the curve on new AI models, frameworks, and best practices.
• Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
• Bachelor’s or Master’s in Computer Science, Machine Learning, or a related technical discipline.

What We Offer

At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer:

• A people-first culture – Supportive peers, open communication, and a strong sense of belonging.
• Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.
• Balance that lasts – We respect your time and support a healthy integration of work and life.
• Room to grow – Opportunities for learning, leadership, and career development, shaped around you.
• Meaningful rewards – Competitive compensation that recognizes both contribution and potential.

Designation: Software Development Team Lead (Full-Stack)

Location: Bangalore/Bhopal

Package: 8LPA to 15 LPA

Job Type: Full Time

Experience: 6 to 10+

Job Title: Software Development Team Lead (Full-Stack)

We are seeking an experienced Software Development Team Lead with strong capabilities in handling frontend, backend, and full-stack development teams across multiple technologies. The ideal candidate will have hands-on experience in Python, Next.js, and other modern tech stacks, along with the ability to guide a diverse development team, ensure high-quality delivery, and drive end-to-end project execution.

Key Responsibilities

Team Leadership & Multi-Tech Management

• Lead and manage a team of developers working across frontend, backend, and full-stack technologies.
• Provide technical direction, conduct code reviews, and mentor team members.
• Allocate tasks based on strengths (UI, backend, APIs, DevOps, etc.) and ensure balanced workload.
• Foster a collaborative, innovative, and high-performance engineering culture.

Full-Stack Technical Contribution

• Work hands-on with Python (backend) and Next.js/React (frontend).
• Guide teams on best practices across UI development, API design, database architecture, and deployment.
• Ensure scalable, secure, and maintainable code across all layers of the product.
• Troubleshoot complex issues across frontend, backend, microservices, and integrations.

Project Execution & Delivery

• Manage end-to-end project lifecycle—from planning to development, testing, and deployment.
• Coordinate with Product, QA, UX/UI, DevOps, and Management teams.
• Drive sprint planning, task estimation, and timeline adherence.
• Improve delivery speed and quality through automation, CI/CD, and structured workflows.

Cross-Functional Collaboration

• Translate business requirements into technical specifications.
• Communicate project updates, challenges, and solutions to stakeholders.
• Collaborate with designers, product managers, and other engineering units.

Process Improvement

• Define and implement coding standards, architecture guidelines, and development processes.
• Introduce new technologies and best practices for continuous improvement.
• Promote efficient workflows, documentation, and team knowledge-sharing.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 6–10+ years of strong software development experience.
• Proven experience leading full-stack development teams.
• Hands-on expertise in:
• Backend: Python (Django, Flask, FastAPI), API development
• Frontend: Next.js, React, JavaScript/TypeScript
• Databases: SQL/NoSQL
• Ability to manage teams working on multiple technologies (frontend, backend, APIs, DevOps).
• Experience with cloud services (AWS/Azure/GCP).
• Strong knowledge of CI/CD, Git workflows, containers (Docker), and microservices.
• Excellent communication, leadership, and problem-solving skills.

Preferred Qualifications

• Exposure to other technologies/frameworks (Node.js, Angular, Java, .NET, PHP, etc.)
• Experience managing cross-functional engineering teams (QA, DevOps, UI/UX).
• Understanding of scalable architectures, system design, and performance optimization.

Designation: Software Development Team Lead

Location: Bangalore/Bhopal

Package: 8LPA to 15 LPA

Job Type: Full Time

Experience: 6 to 10+

Job Title: Software Development Team Lead

We are seeking an experienced Software Development Team Lead with strong capabilities in handling frontend, backend, and full-stack development teams across multiple technologies. The ideal candidate will have hands-on experience in Python, Next.js, and other modern tech stacks, along with the ability to guide a diverse development team, ensure high-quality delivery, and drive end-to-end project execution.

Key Responsibilities

Team Leadership & Multi-Tech Management

• Lead and manage a team of developers working across frontend, backend, and full-stack technologies.
• Provide technical direction, conduct code reviews, and mentor team members.
• Allocate tasks based on strengths (UI, backend, APIs, DevOps, etc.) and ensure balanced workload.
• Foster a collaborative, innovative, and high-performance engineering culture.

Full-Stack Technical Contribution

• Work hands-on with Python (backend) and Next.js/React (frontend).
• Guide teams on best practices across UI development, API design, database architecture, and deployment.
• Ensure scalable, secure, and maintainable code across all layers of the product.
• Troubleshoot complex issues across frontend, backend, microservices, and integrations.

Project Execution & Delivery

• Manage end-to-end project lifecycle—from planning to development, testing, and deployment.
• Coordinate with Product, QA, UX/UI, DevOps, and Management teams.
• Drive sprint planning, task estimation, and timeline adherence.
• Improve delivery speed and quality through automation, CI/CD, and structured workflows.

Cross-Functional Collaboration

• Translate business requirements into technical specifications.
• Communicate project updates, challenges, and solutions to stakeholders.
• Collaborate with designers, product managers, and other engineering units.

Process Improvement

• Define and implement coding standards, architecture guidelines, and development processes.
• Introduce new technologies and best practices for continuous improvement.
• Promote efficient workflows, documentation, and team knowledge-sharing.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 6–10+ years of strong software development experience.
• Proven experience leading full-stack development teams.

Hands-on expertise in:

• Backend: Python (Django, Flask, FastAPI), API development
• Frontend: Next.js, React, JavaScript/TypeScript
• Databases: SQL/NoSQL
• Ability to manage teams working on multiple technologies (frontend, backend, APIs, DevOps).
• Experience with cloud services (AWS/Azure/GCP).
• Strong knowledge of CI/CD, Git workflows, containers (Docker), and microservices.
• Excellent communication, leadership, and problem-solving skills.

Preferred Qualifications

• Exposure to other technologies/frameworks (Node.js, Angular, Java, .NET, PHP, etc.)
• Experience managing cross-functional engineering teams (QA, DevOps, UI/UX).
• Understanding of scalable architectures, system design, and performance optimization.

Job Description

Experience: 5 - 9 years

Location: Bangalore/Pune/Hyderabad

Work Mode: Hybrid(3 Days WFO)

Senior Cloud Infrastructure Engineer for Data Platform 

The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.

Key Responsibilities:

Cloud Infrastructure Design & Management

Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.

Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.

Optimize cloud costs and ensure high availability and disaster recovery for critical systems

Databricks Platform Management

Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.

Automate cluster management, job scheduling, and monitoring within Databricks.

Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.

CI/CD Pipeline Development

Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.

Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.

Monitoring & Incident Management

Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.

Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.

Security & Compliance

Enforce security best practices, including identity and access management (IAM), encryption, and network security.

Ensure compliance with organizational and regulatory standards for data protection and cloud operations.

Collaboration & Documentation

Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.

Maintain comprehensive documentation for infrastructure, processes, and configurations.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Must Have Experience:

6+ years of experience in DevOps or Cloud Engineering roles.

Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.

Hands-on experience with Databricks for data engineering and analytics.

Technical Skills:

Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Strong scripting skills in Python, or Bash.

Experience with containerization and orchestration tools like Docker and Kubernetes.

Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).

Soft Skills:

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What We Expect:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and

a deep interest in scalable, low-latency systems.

• You should have 3–4 years of experience in Python-based development and be eager to solve complex

performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 3–4 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Experience with GoLang, C/C++, Erlang, or Elixir.

• Exposure to trading, fintech, or low-latency systems.

• Familiarity with microservices and CI/CD pipelines.

Experience:

• 12-14 years in software testing, with 5+ years in automation testing.
• Minimum 3+ years of experience managing QA teams.
• Experience in automating complex product which is highly configurable and multiple external integrations
• Experience in BDD automation framework
• Experience in developing/enhancing and managing automation framework
• Strong expertise in test automation tools (Selenium, Playwright, Appium, JMeter).
• Preferably experience with US healthcare standards (HIPAA, HL7, FHIR).
• Ability to get hands-on and find technical solutions for complex scenarios

Technical Skills:

• Proficiency in programming languages like Java, JavaScript.
• Solid understanding of DevOps practices, CI/CD pipelines, and tools like Jenkins or Azure DevOps.
• Expertise in API testing using tools like Postman or RestAssured.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to prioritize and manage multiple projects in a fast-paced environment.

Employee Benefits: 

HealthAsyst provides the following health, and wellness benefits to cover a range of physical and mental well-being for its employees. 

• Bi-Annual Salary Reviews 
• GMC (Group Mediclaim): Provides Insurance coverage of Rs. 3 lakhs + a corporate buffer of 2 Lakhs per family. This is a family floater policy, and the company covers all the employees, spouse, and up to two children 
• Employee Wellness Program- HealthAsyst offers unlimited online doctor consultations for self and family from a range of 31 specialties for no cost to employees. And OPD consultations with GP Doctors are available in person for No Cost to employees 
• GPA (Group Personal Accident): Provides insurance coverage of Rs. 20 lakhs to the employee against the risk of death/injury during the policy period sustained due to an accident 
• GTL (Group Term Life): Provides life term insurance protection to employees in case of death. The coverage is one time of the employee’s CTC 
• Employee Assistance Program: HealthAsyst offers complete confidential counselling services to employees & family members for mental wellbeing 
• Sponsored upskills program for certifications/higher education up to 1 lakh 
• Flexible Benefits Plan – covering a range of components like 
• National Pension System. 
• Internet/Mobile Reimbursements. 
• Fuel Reimbursements. 
• Professional Education Reimbursements. 
• Flexible working hours 
• 3 Day Hybrid Model 

About us

Arka energy is focussed on changing the paradigm on energy. Arka focusses on creating innovative renewable energy solutions for residential customers. With its custom product design and an innovative approach to market the product solution, Arka aims to be a leading provider of energy solutions in the residential solar segment. Arka designs and develops end to end renewable energy solutions with teams in Bangalore and in the Bay area

This product is a 3d simulation software, to replicate rooftops/commercial sites, place solar panels and generate the estimation of solar energy.

What are we looking for?

·        As a backend developer you will be responsible for developing solutions that will enable Arka solutions to be easily adopted by customers.

·        Attention to detail and willingness to learn is a big part of this position.

·        Commitment to problem solving, and innovative design approaches are important.

Role and responsibilities

●       Develop cloud-based Python Django software products

●       Working closely with UX and Front-end Developers

●       Participating in architectural, design and product discussions Designing and creating RESTful APIs for internal and partner consumption

●       Working in an agile environment with an excellent team of engineers

●       Own/maintain code everything from development to fixing bugs/issues.

●       Deliver clean, reusable high-quality code

●       Facilitate problem diagnosis and resolution for issues reported by Customers

●       Deliver to schedule and timelines based on an Agile/Scrum-based approach

●       Develop new features and ideas to make product better and user centric.

●       Must be able to independently write code and test major features, as well as work jointly with other team members to deliver complex changes

●       Create algorithms from scratch and implement them in the software.

●       Code Review, End to End Unit Testing.

●       Guiding and monitoring Junior Engineers.

SKILL REQUIREMENTS

●       Solid database skills in a relational database (i.e. PostgresSQL, MySQL, etc.) Knowledge of how to build and use with RESTful APIs

●        Strong knowledge of version control (i.e. git, svn, etc.)

●        Experience deploying Python applications into production

●        Azure or Google cloud infrastructure knowledge is a plus

●       Strong drive to learn new technologies

●       Ability to learn new technologies quickly

●       Continuous look-out for new and creative solutions to implement new features or improve old ones

●       Data Structures, Algorithms, Django and Python

Good To have

·        Knowledge on GenAI Applications.

Key Benefits

·        Competitive development environment

·        Engagement into full scale systems development

·        Competitive Salary

·        Flexible working environment

·        Equity in an early-stage start-up

·        Patent Filing Bonuses

·        Health Insurance for Employee + Family

AI/LLM Test Automation Engineer (SDET)

Location: Bangalore (Hybrid preferred)

Experience: 5-8 Years

Job Summary

We are seeking a Senior Test Automation Engineer (SDET) with expertise in AI/LLM testing and Azure DevOps CI/CD to build robust automation frameworks for cutting-edge AI applications. The role combines deep programming skills (Java/Python), modern DevOps practices, and specialized LLM testing to ensure high-quality AI product delivery.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java/Python for web, mobile, API, and backend testing.
• Create and manage YAML-based CI/CD pipelines in Azure DevOps for end-to-end testing workflows.
• Perform AI/LLM testing including prompt validation, content generation evaluation, model behavior analysis, and bias detection.
• Write and maintain BDD Cucumber feature files integrated with automation suites.
• Execute manual + automated testing across diverse application layers with focus on edge cases.
• Implement Git branching strategies, code reviews, and repository best practices.
• Track defects and manage test lifecycle using ServiceNow or similar tools.
• Conduct root-cause analysis, troubleshoot complex issues, and drive continuous quality improvements.

Mandatory Skills & Experience

✅ 5+ years SDET/Automation experience

✅ Java/Python scripting for test frameworks (Selenium, REST Assured, Playwright)

✅ Azure DevOps YAML pipelines (CI/CD end-to-end)

✅ AI/LLM testing (prompt engineering, model validation, RAG testing)

✅ Cucumber BDD (Gherkin feature files + step definitions)

✅ Git (branching, PRs, GitFlow)

✅ ServiceNow/Jira defect tracking

✅ Manual + Automation testing (web/mobile/API/backend)

Technical Stack

Programming: Java, Python, JavaScript

CI/CD: Azure DevOps, YAML Pipelines

Testing: Selenium, Playwright, REST Assured, Postman

BDD: Cucumber (Gherkin), JBehave

AI/ML: Prompt validation, LLM APIs (OpenAI, LangChain)

Version Control: Git, GitHub/GitLabDefect

Tracking: ServiceNow, Jira, Azure Boards

Preferred Qualifications

• Exposure to AI testing frameworks (LangSmith, Promptfoo)
• Experience with containerization (Docker) and Kubernetes
• Knowledge of performance testing for AI workloads
• AWS/GCP cloud testing experience
• ISTQB or relevant QA certifications

What We Offer

• Work on next-gen AI/LLM products with global impact
• Modern tech stack with Azure-native DevOps
• Flexible hybrid/remote work model
• Continuous learning opportunities in AI testing

Like us, you'll be deeply committed to delivering impactful outcomes for customers.

• 7+ years of demonstrated ability to develop resilient, high-performance, and scalable code tailored to application usage demands.
• Ability to lead by example with hands-on development while managing project timelines and deliverables. Experience in agile methodologies and practices, including sprint planning and execution, to drive team performance and project success.
• Deep expertise in Node.js, with experience in building and maintaining complex, production-grade RESTful APIs and backend services.
• Experience writing batch/cron jobs using Python and Shell scripting.
• Experience in web application development using JavaScript and JavaScript libraries.
• Have a basic understanding of Typescript, JavaScript, HTML, CSS, JSON and REST based applications.
• Experience/Familiarity with RDBMS and NoSQL Database technologies like MySQL, MongoDB, Redis, ElasticSearch and other similar databases.
• Understanding of code versioning tools such as Git.
• Understanding of building applications deployed on the cloud using Google cloud platform(GCP)or Amazon Web Services (AWS)
• Experienced in JS-based build/Package tools like Grunt, Gulp, Bower, Webpack.

Role Overview

Join our core tech team to build the intelligence layer of Clink's platform. You'll architect AI agents, design prompts, build ML models, and create systems powering personalized offers for thousands of restaurants. High-growth opportunity working directly with founders, owning critical features from day one.

Why Clink?

Clink revolutionizes restaurant loyalty using AI-powered offer generation and customer analytics:

• ML-driven customer behavior analysis (Pattern detection)
• Personalized offers via LLMs and custom AI agents
• ROI prediction and forecasting models
• Instagram marketing rewards integration

Tech Stack:

• Python,
• FastAPI,
• PostgreSQL,
• Redis,
• Docker,
• LLMs

You Will Work On:

AI Agents: Design and optimize AI agents

ML Models: Build redemption prediction, customer segmentation, ROI forecasting

Data & Analytics: Analyze data, build behavior pattern pipelines, create product bundling matrices

System Design: Architect scalable async AI pipelines, design feedback loops, implement A/B testing

Experimentation: Test different LLM approaches, explore hybrid LLM+ML architectures, prototype new capabilities

Must-Have Skills

Technical: 0-2 years AI/ML experience (projects/internships count), strong Python, LLM API knowledge, ML fundamentals (supervised learning, clustering), Pandas/NumPy proficiency

Mindset: Extreme curiosity, logical problem-solving, builder mentality (side projects/hackathons), ownership mindset

Nice to Have: Pydantic, FastAPI, statistical forecasting, PostgreSQL/SQL, scikit-learn, food-tech/loyalty domain interest

3-5 years of experience as full stack developer with essential requirements on the following technologies: FastAPI, JavaScript, React.js-Redux, Node.js, Next.js, MongoDB, Python, Microservices, Docker, and MLOps.

Experience in Cloud Architecture using Kubernetes (K8s), Google Kubernetes Engine, Authentication and Authorisation Tools, DevOps Tools and Scalable and Secure Cloud Hosting is a significant plus.

Ability to manage a hosting environment, ability to scale applications to handle the load changes, knowledge of accessibility and security compliance.

Testing of API endpoints.

Ability to code and create functional web applications and optimising them for increasing response time and efficiency. Skilled in performance tuning, query plan/ explain plan analysis, indexing, table partitioning.

Expert knowledge of Python and corresponding frameworks with their best practices, expert knowledge of relational databases, NoSQL.

Ability to create acceptance criteria, write test cases and scripts, and perform integrated QA techniques.

Must be conversant with Agile software development methodology. Must be able to write technical documents, coordinate with test teams. Proficiency using Git version control.

Please note that salary will be based on experience.

Job Title: Full Stack Engineer

Location: Bengaluru (Indiranagar) – Work From Office (5 Days)

Job Summary

We are seeking a skilled Full Stack Engineer with solid hands-on experience across frontend and backend development. You will work on mission-critical features, ensuring seamless performance, scalability, and reliability across our products.

Responsibilities

• Design, develop, and maintain scalable full-stack applications.
• Build responsive, high-performance UIs using Typescript & Next.js.
• Develop backend services and APIs using Python (FastAPI/Django).
• Work closely with product, design, and business teams to translate requirements into intuitive solutions.
• Contribute to architecture discussions and drive technical best practices.
• Own features end-to-end — design, development, testing, deployment, and monitoring.
• Ensure robust security, code quality, and performance optimization.

Tech Stack

Frontend: Typescript, Next.js, React, Tailwind CSS

Backend: Python, FastAPI, Django

Databases: PostgreSQL, MongoDB, Redis

Cloud & Infra: AWS/GCP, Docker, Kubernetes, CI/CD

Other Tools: Git, GitHub, Elasticsearch, Observability tools

Requirements

Must-Have:

• 2+ years of professional full-stack engineering experience.
• Strong expertise in either frontend (Typescript/Next.js) or backend (Python/FastAPI/Django) with familiarity in both.
• Experience building RESTful services and microservices.
• Hands-on experience with Git, CI/CD, and cloud platforms (AWS/GCP/Azure).
• Strong debugging, problem-solving, and optimization skills.
• Ability to thrive in fast-paced, high-ownership startup environments.

Good-to-Have:

• Exposure to Docker, Kubernetes, and observability tools.
• Experience with message queues or event-driven architecture.

Perks & Benefits

• Upskilling support – courses, tools & learning resources.
• Fun team outings, hackathons, demos & engagement initiatives.
• Flexible Work-from-Home: 12 WFH days every 6 months.
• Menstrual WFH: up to 3 days per month.
• Mobility benefits: relocation support & travel allowance.
• Parental support: maternity, paternity & adoption leave.

Job Title : Full Stack Engineer (Python + React.js/Next.js)

Experience : 1 to 6+ Years

Location : Bengaluru (Indiranagar)

Employment : Full-Time

Working Days : 5 Days WFO

Notice Period : Immediate to 30 Days

Role Overview :

We are seeking Full Stack Engineers to build scalable, high-performance fintech products.

You will work on both frontend (Typescript/Next.js) and backend (Python/FastAPI/Django), owning features end-to-end and contributing to architecture, performance, and product innovation.

Main Tech Stack :

Frontend : Typescript, Next.js, React

Backend : Python, FastAPI, Django

Database : PostgreSQL, MongoDB, Redis

Cloud : AWS/GCP, Docker, Kubernetes

Tools : Git, GitHub, CI/CD, Elasticsearch

Key Responsibilities :

• Develop full-stack applications with clean, scalable code.
• Build fast, responsive UIs using Typescript, Next.js, React.
• Develop backend APIs using Python, FastAPI, Django.
• Collaborate with product/design to implement solutions.
• Own development lifecycle: design → build → deploy → monitor.
• Ensure performance, reliability, and security.

Requirements :

Must-Have :

• 1–6+ years of full-stack experience.
• Product-based company background.
• Strong DSA + problem-solving skills.
• Proficiency in either frontend or backend with familiarity in both.
• Hands-on experience with APIs, microservices, Git, CI/CD, cloud.
• Strong communication & ownership mindset.

Good-to-Have :

• Experience with containers, system design, observability tools.

Interview Process :

1. Coding Round : DSA + problem solving
2. System Design : LLD + HLD, scalability, microservices
3. CTO Round : Technical deep dive + cultural fit

Job Description: Senior Backend

Location: Bangalore (Onsite)

Skills Required:

• Deep expertise in backend architecture using Python (FastAPI, Django), Node.js (NestJS, Express), or GoLang.
• Strong experience with cloud infrastructure - AWS, GCP, Azure, and containerization (Docker, Kubernetes).
• Proficiency in infrastructure-as-code (Terraform, Pulumi, Ansible).
• Mastery in CI/CD pipelines, GitOps workflows, and deployment automation (GitHub Actions, Jenkins, ArgoCD, Flux).
• Experience building high-performance distributed systems, APIs, and microservices architectures.
• Understanding of event-driven systems, message queues, and streaming platforms (Kafka, RabbitMQ, Redis Streams).
• Familiarity with database design and scaling - PostgreSQL, MongoDB, DynamoDB, TimescaleDB.
• Deep understanding of system observability, tracing, and performance tuning (Prometheus, Grafana, OpenTelemetry).
• Familiarity with AI integration stacks - deploying and scaling LLMs, vector databases (Pinecone, Weaviate, Milvus), and inference APIs (vLLM, Ollama, TensorRT).
• Awareness of DevSecOps practices, zero-trust architecture, and cloud cost optimization.
• Bonus: Hands-on with Rust, WebAssembly, or edge computing platforms (Fly.io, Cloudflare Workers, AWS Greengrass).

Who We Are Looking For:

Upsurge Labs builds across robotics, biotech, AI, and creative tech, each product running on the backbone of precision-engineered software.

We are looking for a Senior Backend / DevOps Engineer who can architect scalable, resilient systems that power machines, minds, and media.

You should be someone who is :

• Disciplined and detail-oriented, thriving in complex systems without compromising reliability.
• Organized enough to manage chaos and gritty enough to debug at 3 a.m. if that’s what the mission demands.
• Obsessed with clean code, system resilience, and real-world impact.
• Finds satisfaction in building infrastructure where reliability, scalability, and performance are central.
• Comfortable working at the intersection of AI, automation, and distributed systems.
• Understands that this work is challenging and fast-paced, but rewarding for those who push boundaries.

At Upsurge Labs, only the best minds build the foundations for the future. If you’ve ever dreamed of engineering systems that enable breakthroughs in AI and robotics, this is your arena.

Skills - Python (Pandas, NumPy) and backend frameworks (FastAPI, Flask), ETL processes, LLM, React.js or Angular, JavaScript or TypeScript.

• Strong proficiency in Python, with experience in data manipulation libraries (e.g., Pandas,

NumPy) and backend frameworks (e.g., FastAPI, Flask).

• Hands-on experience with data engineering and analytics, including data pipelines, ETL

processes, and working with structured/unstructured data.

• Understanding of React.js/ Angular, JavaScript/TypeScript for building responsive user

interfaces.

• Familiarity with AI/ML concepts and eagerness to grow into a deeper AI-focused role.

• Ability to work in cross-functional teams and adapt quickly to evolving technologies.

Planview is seeking a passionate Sr Software Engineer I to lead the development of internal AI tools and connectors, enabling seamless integration with internal and third-party data sources. This role will drive internal AI enablement and productivity across engineering and customer teams by consulting with business stakeholders, setting technical direction, and delivering scalable solutions.

Responsibilities:

• Work with business stakeholders to enable successful AI adoption.
• Develop connectors leveraging MCP or third-party APIs to enable new integrations.
• Prioritize and execute integrations with internal and external data platforms.
• Collaborate with other engineers to expand AI capabilities.
• Establish and monitor uptime metrics, set up alerts, and follow a proactive maintenance schedule.
• Exposure to operations, including Docker-based and serverless deployments and troubleshooting.
• Work with DevOps engineers to manage and deploy new tools as required.

Required Qualifications:

• Bachelor’s degree in computer science, Data Science, or related field.
• 4+ years of experience in infrastructure engineering, data integration, or AI operations.
• Strong Python coding skills.
• Experience configuring and scaling infrastructure for large user bases.
• Proficiency with monitoring tools, alerting systems, and maintenance best practices.
• Hands-on experience with containerized and serverless deployments.
• Ability to code connectors using MCP or third-party APIs.
• Strong troubleshooting and support skills.

Preferred Qualifications:

• Experience with building RAG knowledge bases, MCP Servers, and API integration patterns. Experience leveraging AI (LLMs) to boost productivity and streamline workflows.
• Exposure to working with business stakeholders to drive AI adoption and feature expansion. Familiarity with MCP server support and resilient feature design.
• Skilled at working as part of a global, diverse workforce.
• AWS Certification is a plus.

We are looking for enthusiastic engineers passionate about building and maintaining solutioning platform components on cloud and Kubernetes infrastructure. The ideal candidate will go beyond traditional SRE responsibilities by collaborating with stakeholders, understanding the applications hosted on the platform, and designing automation solutions that enhance platform efficiency, reliability, and value.

[Technology and Sub-technology]

• ML Engineering / Modelling

• Python Programming

• GPU frameworks: TensorFlow, Keras, Pytorch etc.

• Cloud Based ML development and Deployment AWS or Azure

[Qualifications]

• Bachelor’s Degree in Computer Science, Computer Engineering or equivalent technical degree

• Proficient programming knowledge in Python or Java and ability to read and explain open source codebase.

• Good foundation of Operating Systems, Networking and Security Principles

• Exposure to DevOps tools, with experience integrating platform components into Sagemaker/ECR and AWS Cloud environments.

• 4-6 years of relevant experience working on AI/ML projects

[Primary Skills]:

• Excellent analytical & problem solving skills.

• Exposure to Machine Learning and GenAI technologies.

• Understanding and hands-on experience with AI/ML Modeling, Libraries, frameworks, and Tools (TensorFlow, Keras, Pytorch etc.)

• Strong knowledge of Python, SQL/NoSQL

• Cloud Based ML development and Deployment AWS or Azure

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

Job Title: Full-Stack developer

Experience: 5 to 8+ Years

ASAP Start Immediately

Key Responsibilities

Develop and maintain end-to-end web applications, including frontend interfaces and backend services.

Build responsive and scalable UIs using React.js and Next.js.

Design and implement robust backend APIs using Python, FastAPI, Django, or Node.js.

Work with cloud platforms such as Azure (preferred) or AWS for application deployment and scaling.

Manage DevOps tasks, including containerization with Docker, orchestration with Kubernetes, and infrastructure as code with Terraform.

Set up and maintain CI/CD pipelines using tools like GitHub Actions or Azure DevOps.

Design and optimize database schemas using PostgreSQL, MongoDB, and Redis.

Collaborate with cross-functional teams in an agile environment to deliver high-quality features on time.

Troubleshoot, debug, and improve application performance and security.

Take full ownership of assigned modules/features and contribute to technical planning and architecture discussions.

Must-Have Qualifications

Strong hands-on experience with Python and at least one backend framework such as FastAPI, Django, or Flask, Node.js .

Proficiency in frontend development using React.js and Next.js

Experience in building and consuming RESTful APIs

Solid understanding of database design and queries using PostgreSQL, MongoDB, and Redis

Practical experience with cloud platforms, preferably Azure, or AWS

Familiarity with containerization and orchestration tools like Docker and Kubernetes

Working knowledge of Infrastructure as Code (IaC) using Terraform

Experience with CI/CD pipelines using GitHub Actions or Azure DevOps

Ability to work in an agile development environment with cross-functional teams

Strong problem-solving, debugging, and communication skills

Start-up experience preferred – ability to manage ambiguity, rapid iterations, and hands-on leadership.

Technical Stack

Frontend: React.js, Next.js

Backend: Python, FastAPI, Django, Spring Boot, Node.js

DevOps & Cloud: Azure (preferred), AWS, Docker, Kubernetes, Terraform

CI/CD: GitHub Actions, Azure DevOps

Databases: PostgreSQL, MongoDB, Redis

Job Title: Full-Stack developer

Experience: 5 to 8+ Years

ASAP Start Immediately

Key Responsibilities

Develop and maintain end-to-end web applications, including frontend interfaces and backend services.

Build responsive and scalable UIs using React.js and Next.js.

Design and implement robust backend APIs using Python, FastAPI, Django, or Node.js.

Work with cloud platforms such as Azure (preferred) or AWS for application deployment and scaling.

Manage DevOps tasks, including containerization with Docker, orchestration with Kubernetes, and infrastructure as code with Terraform.

Set up and maintain CI/CD pipelines using tools like GitHub Actions or Azure DevOps.

Design and optimize database schemas using PostgreSQL, MongoDB, and Redis.

Collaborate with cross-functional teams in an agile environment to deliver high-quality features on time.

Troubleshoot, debug, and improve application performance and security.

Take full ownership of assigned modules/features and contribute to technical planning and architecture discussions.

Must-Have Qualifications

Strong hands-on experience with Python and at least one backend framework such as FastAPI, Django, or Flask, Node.js .

Proficiency in frontend development using React.js and Next.js

Experience in building and consuming RESTful APIs

Solid understanding of database design and queries using PostgreSQL, MongoDB, and Redis

Practical experience with cloud platforms, preferably Azure, or AWS

Familiarity with containerization and orchestration tools like Docker and Kubernetes

Working knowledge of Infrastructure as Code (IaC) using Terraform

Experience with CI/CD pipelines using GitHub Actions or Azure DevOps

Ability to work in an agile development environment with cross-functional teams

Strong problem-solving, debugging, and communication skills

Start-up experience preferred – ability to manage ambiguity, rapid iterations, and hands-on leadership.

Technical Stack

Frontend: React.js, Next.js

Backend: Python, FastAPI, Django, Spring Boot, Node.js

DevOps & Cloud: Azure (preferred), AWS, Docker, Kubernetes, Terraform

CI/CD: GitHub Actions, Azure DevOps

Databases: PostgreSQL, MongoDB, Redis

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Appknox has helped secure mobile apps at Fortune 500 companies with major brands spread across regions like India, South-East Asia, Middle-East, US, and expanding rapidly. We have secured 300+ Enterprises globally.

We are a 60+ incredibly passionate team working to make an impact and helping some of the biggest companies globally. We work in a highly collaborative, very fast-paced work environment. If you have what it takes to be part of the team, we are excited and let’s speak further.

The Opportunity

Appknox AI is building next-generation AI-powered security analysis tools for mobile applications. We use multi-agent systems and large language models to automate complex security workflows that traditionally require manual expert analysis.

We're looking for an AI/ML Engineer who will focus on improving our AI system quality, optimizing prompts, and building evaluation frameworks. You'll work with our engineering team to make our AI systems more accurate, efficient, and reliable.

This is NOT a data scientist role. We need someone who builds production AI systems with LLMs and agent frameworks.

Key Focus:

Primary Focus: AI System Quality 

• Prompt Engineering: Design and optimize prompts for complex reasoning tasks
• Quality Improvement: Reduce false positives and improve accuracy of AI-generated outputs
• Evaluation Frameworks: Build systems to measure and monitor AI quality metrics
• Tool Development: Create utilities and tools that enhance AI capabilities

  Secondary Focus: Performance & Optimization 

• Cost Optimization: Implement strategies to reduce LLM API costs (caching, batching, model  selection)
•  Metrics & Monitoring: Track system performance, latency, accuracy, and cost
•  Research & Experimentation: Evaluate new models and approaches
•  Documentation: Create best practices and guidelines for the team

Requirements:

• 2-4 years of professional software engineering experience with Python as primary language
• 1+ years working with LangChain, LangGraph, or similar agent frameworks (AutoGPT, CrewAI, etc.)
• Production LLM experience: You've shipped products using OpenAI, Anthropic, Google Gemini, or similar APIs
• Prompt engineering skills: You understand how to structure prompts for complex multi-step reasoning
• Strong Python: Async/await, type hints, Pydantic, modern Python practices
• Problem-solving mindset: You debug systematically and iterate based on data

Good to Have skill-set:

•   Experience with vector search (LanceDB, Pinecone, Weaviate, Qdrant)
•   Knowledge of retrieval-augmented generation (RAG) patterns
•   Background in security or mobile application development
•   Understanding of static/dynamic analysis tools

 What We're NOT Looking For:

•   Only academic/tutorial LLM experience (we need production systems)
•   Pure ML research focus (we're not training foundation models)
•   Data analyst/BI background without engineering depth
•   No experience with LLM APIs or agent frameworks

  Our Tech Stack:

  AI/ML Infrastructure:

•   Agent Frameworks: LangChain, LangGraph
•   LLMs: Google Gemini (primary), with multi-model support
•   Observability: Langfuse, DeepEval
•   Vector Search: LanceDB, Tantivy
•   Embeddings: Hybrid approach (local + cloud APIs)

  Platform & Infrastructure:

•   Orchestration: Prefect 3.x, Docker, Kubernetes
•   Storage: S3-compatible object storage, PostgreSQL
•   Languages: Python 3.11+
•   Testing: pytest with parallel execution support

Work Expectations & Success Metrics:

Within 1 Month (Onboarding)

- Understand AI system architecture and workflows

- Review existing prompts and evaluation methods 

- Run analyses and identify improvement areas 

- Collaborate on initial optimizations

Within 3 Months (Initial Contributions)

- Own prompt engineering for specific components 

- Build evaluation datasets and quality metrics 

- Implement tools that extend AI capabilities 

- Contribute to performance optimization experiments

Within 6 Months (Independent Ownership)

- Lead quality metrics implementation and monitoring 

- Drive prompt optimization initiatives 

- Improve evaluation frameworks

- Research and prototype new capabilities

Within 1 Year (Expanded Scope)

- Mentor team members on best practices 

- Lead optimization projects (caching, batching, cost reduction)

- Influence architectural decisions 

- Build reusable libraries and internal frameworks

 Interview Process:

• Round 0 Interview - Profile Evaluation (15 min)
• Round 1 Interview - Take Home Assignment
• Round 2 Interview - Technical Deep-Dive (90 min)
• Round 3 Interview- Team Fit (45 min)
• Round 4 Interview- HR Round ( 30 min)

Why Join Appknox AI?

Impact & Growth

Work on cutting-edge AI agent systems that power real-world enterprise security. You’ll collaborate with experienced engineers across AI, security, and infrastructure while gaining deep expertise in LangGraph, agent systems, and prompt engineering. As we scale, you’ll have clear opportunities to grow into senior and staff-level roles.

Team & Culture

Join a small, focused product-engineering team that values code quality, collaboration, and knowledge sharing. We’re in a hybrid set-up - based out of Banaglore, flexible, and committed to a sustainable pace - no crunch, no chaos.

Technology

Built with a modern Python stack (3.11+, async, type hints, Pydantic) and the latest AI/ML tools including LangChain, LangGraph, DeepEval, and Langfuse. Ship production-grade features that make a real impact for customers.

Compensation & Benefits:

Competitive Package

We offer strong compensation designed to reward impact.

Flexibility & Lifestyle

Hybrid work setup and enjoy generous time off. You’ll get top-tier hardware and the tools you need to do your best work.

Learning & Development

Access a substantial learning budget, attend major AI/ML conferences, explore new approaches during dedicated research time, and share your knowledge with the team.

Health & Wellness

Comprehensive health coverage, fitness subscription, and family-friendly policies.

Early-Stage Advantages

Help shape the culture, influence product direction, and work directly with founders. Move fast, ship quickly, and see your impact immediately.

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry.

Key Responsibilities

CI/CD and Infrastructure Automation

• Design, implement, and maintain CI/CD pipelines to support fast and reliable releases
• Automate deployments using tools such as Terraform, Helm, and Kubernetes
• Improve build and release processes to support high-performance and low-latency trading applications
• Work efficiently with Linux/Unix environments

Cloud and On-Prem Infrastructure Management

• Deploy, manage, and optimize infrastructure on AWS, GCP, and on-premises environments
• Ensure system reliability, scalability, and high availability
• Implement Infrastructure as Code (IaC) to standardize and streamline deployments

Performance Monitoring and Optimization

• Monitor system performance and latency using Prometheus, Grafana, and ELK stack
• Implement proactive alerting and fault detection to ensure system stability
• Troubleshoot and optimize system components for maximum efficiency

Security and Compliance

• Apply DevSecOps principles to ensure secure deployment and access management
• Maintain compliance with financial industry regulations such as SEBI
• Conduct vulnerability assessments and maintain logging and audit controls

Required Skills and Qualifications

• 2+ years of experience as a DevOps Engineer in a software or trading environment
• Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD)
• Proficiency in cloud platforms such as AWS and GCP
• Hands-on experience with Docker and Kubernetes
• Experience with Terraform or CloudFormation for IaC
• Strong Linux administration and networking fundamentals (TCP/IP, DNS, firewalls)
• Familiarity with Prometheus, Grafana, and ELK stack
• Proficiency in scripting using Python, Bash, or Go
• Solid understanding of security best practices including IAM, encryption, and network policies

Good to Have (Optional)

• Experience with low-latency trading infrastructure or real-time market data systems
• Knowledge of high-frequency trading environments
• Exposure to FIX protocol, FPGA, or network optimization techniques
• Familiarity with Redis or Nginx for real-time data handling

Why Join Us?

• Work with a team that expects and delivers excellence.
• A culture where risk-taking is rewarded, and complacency is not.
• Limitless opportunities for growth—if you can handle the pace.
• A place where learning is currency, and outperformance is the only metric that matters.
• The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.

This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.

Job Description:

We are looking for a skilled Backend Developer with 2–5 years of experience in software development, specializing in Python and/or Golang. 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 Golang (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

Responsibilities:

Build and optimize batch and streaming data pipelines using Apache Beam (Dataflow)

Design and maintain BigQuery datasets using best practices in partitioning, clustering, and materialized views

Develop and manage Airflow DAGs in Cloud Composer for workflow orchestration

Implement SQL-based transformations using Dataform (or dbt)

Leverage Pub/Sub for event-driven ingestion and Cloud Storage for raw/lake layer data architecture

Drive engineering best practices across CI/CD, testing, monitoring, and pipeline observability

Partner with solution architects and product teams to translate data requirements into technical designs

Mentor junior data engineers and support knowledge-sharing across the team

Contribute to documentation, code reviews, sprint planning, and agile ceremonies

Requirements

2+ years of hands-on experience in data engineering, with at least 2 years on GCP

Proven expertise in BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow)

Strong programming skills in Python and/or Java

Experience with SQL optimization, data modeling, and pipeline orchestration

Familiarity with Git, CI/CD pipelines, and data quality monitoring frameworks

Exposure to Dataform, dbt, or similar tools for ELT workflows

Solid understanding of data architecture, schema design, and performance tuning

Excellent problem-solving and collaboration skills

Bonus Skills:

GCP Professional Data Engineer certification

Experience with Vertex AI, Cloud Functions, Dataproc, or real-time streaming architectures

Familiarity with data governance tools (e.g., Atlan, Collibra, Dataplex)

Exposure to Docker/Kubernetes, API integration, and infrastructure-as-code (Terraform)

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

🚀 Join GuppShupp: Build Bharat's First AI Lifelong Friend

GuppShupp's mission is nothing short of building Bharat's First AI Lifelong Friend. This is more than just a chatbot—it's about creating a truly personalized, consistently available companion that understands and grows with the user over a lifetime. We are pioneering this deeply personal experience using cutting-edge Generative AI.

We're hiring a Founding AI Engineer (1+ Year Experience) to join our small team of A+ builders and craft the foundational LLM and infrastructure behind this mission.

If you are passionate about:

• Deep personalization and managing complex user state/memory.
• Building high-quality, high-throughput AI tools.
• Next-level infrastructure at an incredible scale (millions of users).

What you'll do (responsibilities)

We're looking for an experienced individual contributor who enjoys working alongside other experienced engineers and iterate on AI

Prompt Engineering & Testing

• Write, test, and iterate numerous prompt variations.
• Identify and fix failures, biases, or edge cases in AI responses.

Advance LLM and Development

• Engineer solutions for long-term conversational memory and statefulness in LLMs.
• Implement techniques (e.g., retrieval-augmented generation (RAG) or summarization) to effectively manage and extend the context window for complex tasks.

Collaboration & Optimization

• Work with product and growth teams to turn feature goals into effective technical prompts.
• Optimize prompts for diverse use cases (e.g., chat, content, personalization).

LLM Fine-Tuning & Management

• Prepare, clean, and format datasets for training.
• Run fine-tuning jobs on smaller, specialized language models.
• Assist in deploying, monitoring, and maintaining these models

What we're looking for (qualifications)

You are an AI Engineer who has successfully shipped systems in this domain for over a year—you won't need ramp-up time. We prioritize continuous learning and hands-on skill development over formal qualifications. Crucially, we are looking for a teammate driven by a sense of duty to the user and a passion for taking full ownership of their contributions.

Role Summary

Our CloudOps/DevOps teams are distributed across India, Canada, and Israel.

As a Manager, you will lead teams of Engineers and champion configuration management, cloud technologies, and continuous improvement. The role involves close collaboration with global leaders to ensure our applications, infrastructure, and processes remain scalable, secure, and supportable. You will work closely with Engineers across Dev, DevOps, and DBOps to design and implement solutions that improve customer value, reduce costs, and eliminate toil.

Key Responsibilities

• Guide the professional development of Engineers and support teams in meeting business objectives
• Collaborate with leaders in Israel on priorities, architecture, delivery, and product management
• Build secure, scalable, and self-healing systems
• Manage and optimize deployment pipelines
• Triage and remediate production issues
• Participate in on-call escalations

Key Qualifications

• Bachelor’s in CS or equivalent experience
• 3+ years managing Engineering teams
• 8+ years as a Site Reliability or Platform Engineer
• 5+ years administering Linux and Windows environments
• 3+ years programming/scripting (Python, JavaScript, PowerShell)
• Strong experience with OS internals, virtualization, storage, networking, and firewalls
• Experience maintaining On-Prem (90%) and Cloud (10%) environments (AWS, GCP, Azure)

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Job Summary:

Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.

Key Responsibilities:

• Design, develop, and deploy backend services and APIs using Python.
• Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
• Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
• Implement containerized environments using Docker and manage orchestration via Kubernetes.
• Write automation and scripting solutions in Bash/Shell to streamline operations.
• Work with relational databases like MySQL and SQL, including query optimization.
• Collaborate directly with clients to understand requirements and provide technical solutions.
• Ensure system reliability, performance, and scalability across environments.

Required Skills:

• 3.5+ years of hands-on experience in Python development.
• Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
• Good understanding of Terraform or other Infrastructure as Code tools.
• Proficient with Docker and container orchestration using Kubernetes.
• Experience with CI/CD tools like Jenkins or GitHub Actions.
• Strong command of SQL/MySQL and scripting with Bash/Shell.
• Experience working with external clients or in client-facing roles

.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Description

We are seeking a skilled and detail-oriented Software Developer to automate our internal workflows, develop tools for internal use that are used by our development team.

We follow the following practices: unit testing, continuous integration CI, continuous deployment CD, and DevOps.

We have codebases in go, java, python, vue js, bash and support the development team that develops C code.

You need to like challenges, explore new fields and find solutions for problems.

You will be responsible for coordinating, automating, and validating internal workflows and ensuring operational stability, and system reliability.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2+ years in professional software development
• Solid understanding of software development patterns like SOLID, GoF or similar.
• Experience automating deployments for different kinds of applications.
• Strong understanding of Git version control, merge/rebase strategies, tagging.
• Familiarity with containerization (Docker) and deployment orchestration (e.g., docker compose).
• Solid scripting experience (bash, or similar).
• Understanding of observability, monitoring, and probing tooling (e.g., Prometheus, Grafana, blackbox exporter).

Preferred Skills

• Experience in SRE
• Proficiency in CI/CD tooling (e.g., GitHub Actions, Jenkins, GitLab).
• Familiarity with build tools like Make, CMake, or similar.
• Exposure to artifact management systems (e.g., aptly, Artifactory, Nexus).
• Experience deploying to Linux production systems with service uptime guarantees.

Responsibilities

• Develop new services that are needed by SRE, Field or Development Team by adopting unit testing, agile, clean code practices.
• Drive the CI/CD pipeline and maintain the workflows, using tools such as GitLab, Jenkins
• Deploy the services and implement and refine the automation for different environments.
• Operate: The services that the SRE Team developed.
• Automate release pipelines: Build and maintain CI/CD workflows using tools such as Jenkins and GitLab.
• Version control: Manage and enforce Git best practices, branching strategies (e.g., Git Flow), tagging, and release versioning.
• Collaboration: Work closely with developers, QA, and product teams to align on release timelines and feature readines
• Success Metrics
• Achieve >99% service up time with minimal rollbacks.
• Delivery in time, hold timelines.

Benefits

Enjoy a great environment, great people, and a great package

• Stock Appreciation Rights - Generous pre series-B stock options
• Generous Gratuity Plan - Long service compensation far exceeding Indian statutory requirements 
• Health Insurance - Premium health insurance for employee, spouse and children 
• Working Hours - Flexible working hours with sole focus on enabling a great work environment 
• Work Environment - Work with top industry experts in an environment that fosters co-operation, learning and developing skills 
• Make a Difference - We're here because we want to make an impact on the world - we hope you do too!

Required Skills

• 12+ years of proven experience in designing large-scale enterprise systems and distributed

architectures.

• Strong expertise in Azure, AWS, Python, Docker, LangChain, Solution Architecture, C#, .Net

• Frontend technologies like React, Angular and, ASP.Net MVC

• Deep knowledge of architecture frameworks (TOGAF).

• Understanding of security principles, identity management, and data protection.

• Experience with solution architecture methodologies and documentation standards

• Deep understanding of databases (SQL and NoSQL), RESTful APIs, and message brokers.

• Excellent communication, leadership, and stakeholder management skills.

AI based systems design and development, entire pipeline from image/ video ingest, metadata ingest, processing, encoding, transmitting.

Implementation and testing of advanced computer vision algorithms.

Dataset search, preparation, annotation, training, testing, fine tuning of vision CNN models. Multimodal AI, LLMs, hardware deployment, explainability.

Detailed analysis of results. Documentation, version control, client support, upgrades.

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

The Python Support Engineer is responsible for providing Tier 2/Tier 3 technical support for our software applications and systems, focusing primarily on components built with Python. This role involves diagnosing and resolving complex production issues, performing Root Cause Analysis (RCA), developing temporary workarounds, and implementing permanent code fixes using Python.

🛠️ Key Responsibilities

1. Technical Support & Troubleshooting

• Diagnose and Resolve Issues: Act as the escalation point for complex technical issues related to Python applications, backend services (APIs), and data pipelines.
• Log and Data Analysis: Utilize advanced analytical skills and Python scripts (e.g., using Pandas or regular expressions) to parse system logs, database records, and monitoring data to pinpoint the root cause of failures.
• Debugging and Fixes: Read, understand, debug, and modify existing Python code to implement necessary bug fixes, patches, and minor enhancements.
• Database Interaction: Write and execute complex SQL queries to investigate data integrity issues and system performance problems across various relational (e.g., PostgreSQL, MySQL) and NoSQL databases.

2. Development and Automation

• Automation: Develop and maintain Python scripts and utility tools (e.g., using Bash/Shell scripting) to automate repetitive support tasks, streamline system health checks, and improve incident response efficiency.
• Monitoring and Alerting: Configure and fine-tune monitoring tools (e.g., Prometheus, Grafana, ELK stack) to proactively detect issues and ensure system reliability.
• Documentation: Create and maintain detailed technical documentation, including RCAs, knowledge base articles, runbooks, and troubleshooting guides for the support team.

ROLES AND RESPONSIBILITIES:

You'll work closely with our team to implement best practices, improve our architecture, and create a high-performance engineering culture. Over a 6–9-month period, you'll also immerse yourself in game development, Unity, and C# to become a well-rounded technical leader in the gaming space.

• Drive maximum development velocity through direct involvement in development sprints, ensuring developers work as efficiently and effectively as possible.
• Lead and mentor a team of engineers, fostering a culture of technical excellence and continuous improvement.
• Drive architectural decisions that ensure scalable, maintainable, and high-performance game products.
• Foster a high-performance engineering culture aligned with ambitious goals, accountability, and proactive problem-solving.
• Implement and enforce engineering best practices (e.g., code reviews, testing, documentation) and the adoption of new tools, technologies including AI, and methodologies to optimize team efficiency.
• Transition our team to a high-performance culture aligned with our ambitious, venture-backed goals.

IDEAL CANDIDATE:

• 8+ years of software engineering experience with at least 3+ years in a technical leadership role
• Ability to reasonably estimate and plan tasks and features.
• Strong programming fundamentals and hands-on coding abilities
• Strong grasp of software architecture, TDD, code reviews, and clean coding principles.
• Proficient at profiling games to identify bottlenecks and performance issues.
• Experience building complex, scalable software systems
• Proven track record of driving architectural decisions and technical excellence
• Experience mentoring and developing engineering talent
• Strong problem-solving skills and attention to detail
• Excellent communication skills and ability to explain complex technical concepts
• Experience with agile development methodologies
• Bachelor's degree in computer science, Engineering, or equivalent practical experience

PERKS, BENEFITS AND WORK CULTURE:

• We foster a culture of continuous learning.
• We value talent and the ability for significant self-improvement.
• Honest feedback and transparency across all departments allow for rapid skill development.
• You will have the opportunity to work on an exciting new game development product with complete autonomy.

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed.

Role: Lead Software Engineer (Backend)

Salary: INR 28 to INR 40L per annum

Performance Bonus: Up to 10% of the base salary can be added

Location: Hulimavu, Bangalore, India

Experience: 6-10 years

About AbleCredit:

AbleCredit has built a foundational AI platform to help BFSI enterprises reduce OPEX by up to 70% by powering workflows for onboarding, claims, credit, and collections. Our GenAI model achieves over 95% accuracy in understanding Indian dialects and excels in financial analysis.

The company was founded in June 2023 by Utkarsh Apoorva (IIT Delhi, built Reshamandi, Guitarstreet, Edulabs); Harshad Saykhedkar (IITB, ex-AI Lead at Slack); and Ashwini Prabhu (IIML, co-founder of Mythiksha, ex-Product Head at Reshamandi, HandyTrain).

What Work You’ll Do

• Build best-in-class AI systems -  that enterprises can trust, where reliability and explainability are not optional.
• Operate in founder mode — build, patch, or fork, whatever it takes to ship today, not next week.
• Work at the frontier of AI x Systems — making AI models behave predictably to solve real, enterprise-grade problems.
• Own end-to-end feature delivery — from requirement scoping to design, development, testing, deployment, and post-release optimization.
• Design and implement complex, distributed systems that support large-scale workflows and integrations for enterprise clients.
• Operate with full technical ownership — make architectural decisions, review code, and mentor junior engineers to maintain quality and velocity.
• Build scalable, event-driven services leveraging AWS Lambda, SQS/SNS, and modern asynchronous patterns.
• Work with cross-functional teams to design robust notification systems, third-party integrations, and data pipelines that meet enterprise reliability and security standards.

The Skills You Have..

• Strong background as an Individual Contributor — capable of owning systems from concept to production without heavy oversight.
• Expertise in system design, scalability, and fault-tolerant architecture.
• Proficiency in Node.js (bonus) or another backend language such as Go, Java, or Python.
• Deep understanding of SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB) systems.
• Hands-on experience with AWS services — Lambda, API Gateway, S3, CloudWatch, ECS/EKS, and event-based systems.
• Experience in designing and scaling notification systems and third-party API integrations.
• Proficiency in event-driven architectures and multi-threading/concurrency models.
• Strong understanding of data modeling, security practices, and performance optimization.
• Familiarity with CI/CD pipelines, automated testing, and monitoring tools.
• Strong debugging, performance tuning, and code review skills.

What You Should Have Done in the Past

• Delivered multiple complex backend systems or microservices from scratch in a production environment.
• Led system design discussions and guided teams on performance, reliability, and scalability trade-offs.
• Mentored SDE-1 and SDE-2 engineers, enabling them to deliver features independently.
• Owned incident response and root cause analysis for production systems.
• (Bonus) Built or contributed to serverless systems using AWS Lambda, with clear metrics on uptime, throughput, and cost-efficiency.

Highlights:

• PTO & Holidays
• Opportunity to work with a core Gen AI startup.
• Flexible hours and an extremely positive work environment

JD for Cloud engineer

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
• Implement Google Cloud Storage, Cloud SQL, filestore,  for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

Responsibilities:

• Develop, and maintain SQL and NoSQL databases, ensuring high performance, scalability, and

reliability.

• Collaborate with the API team and Data Science team to build robust data pipelines and

automations.

• Work closely with stakeholders to understand database requirements and provide technical

solutions.

• Optimize database queries and performance tuning to enhance overall system efficiency.

• Implement and maintain data security measures, including access controls and encryption.

• Monitor database systems and troubleshoot issues proactively to ensure uninterrupted

service.

• Develop and enforce data quality standards and processes to maintain data integrity.

• Create and maintain documentation for database architecture, processes, and procedures.

• Stay updated with the latest database technologies and best practices to drive continuous

improvement.

• Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune

complex queries for performance and efficiency.

• Experience with monitoring and visualization tools such as Grafana to monitor database

performance and health

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience

• 2+ years of experience in data engineering, with a focus on large-scale data systems.

• Proven experience designing data models and access patterns across SQL and NoSQL

ecosystems.

• Hands-on experience with technologies like SQL, DynamoDB, S3, and Lambda services.

• Proficient in SQL stored procedures with extensive expertise in MySQL schema design, query

optimization, and resolvers, along with hands-on experience in building and maintaining data

warehouses.

• Strong programming skills in Python or JavaScript, with the ability to write efficient,

maintainable code.

• Familiarity with observability stacks (Prometheus, Grafana, Open Telemetry) and debugging

production bottlenecks.

• Understanding cloud infrastructure (preferably AWS), including networking, IAM, and cost

optimization.

• Excellent communication and collaboration skills to influence cross-functional technical

decisions.

AI Engineer – Supaboard.ai

Location: Bengaluru, India (On-site, 5 days a week)

Experience Level: 2–5 years

Compensation: ₹8 – ₹16 LPA

Tech Stack: Python, TypeScript, OpenAI/Anthropic APIs, Hugging Face, Vector DBs

Employment Type: Full-time, In-office

About Supaboard.ai

Supaboard.ai is building an intelligent data analytics platform powered by modern AI systems, enabling teams to transform their raw data into dashboards, insights, and automations—instantly.

We combine analytics, automation, and AI into a single powerful engine used by fast-growing teams.

We’re looking for an AI Engineer who loves working with models, fine-tuning, LLM orchestration, and building AI-driven features that scale.

Key Responsibilities

• Fine-tune open-source LLMs (e.g., Llama, Mistral, T5, Qwen) for internal use cases like text classification, summarization, extraction, and agent workflows.
• Develop, test, and optimize prompt engineering strategies for production use-cases.
• Build and maintain pipelines for training, evaluating, and deploying custom AI models.
• Integrate models with Supaboard’s backend using Python, TypeScript, and cloud-based AI platforms.
• Work with libraries like Hugging Face Transformers, LangChain, OpenAI, Gemini, Anthropic, and vector databases (Pinecone/Weaviate).
• Create high-accuracy evaluation datasets and design automated evaluation harnesses.
• Optimize performance, latency, and reliability of AI-powered features in production.
• Collaborate with product, engineering, and data teams to design and implement AI-driven product features.

Requirements

• Strong proficiency in Python (must) and basic experience with TypeScript (preferred).
• Solid understanding of LLMs, embeddings, tokenization, model architectures, and NLP pipelines.
• Prior experience fine-tuning or training open-source models using PyTorch, Hugging Face, or similar frameworks.
• Experience calling and orchestrating external LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
• Ability to design prompts, tune them, and create deterministic and reliable chains/flows.
• Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and retrieval pipelines.
• Familiarity with cloud environments (AWS/GCP) and deploying AI workloads.
• Good understanding of evaluation metrics and experiment tracking (W&B or similar).
• Strong debugging skills and an ownership-driven mindset.

Nice to Have

• Experience building agents, tool-calling workflows, and multi-model pipelines.
• Knowledge of distributed training, quantization (GGUF/GGML), or optimization techniques (LoRA, QLoRA, PEFT).
• Experience building AI-based features for data analytics or SaaS products.
• Familiarity with FastAPI or Node-based backend services.

Why Supaboard.ai?

• Build a core part of India’s next-gen AI analytics platform.
• Work with cutting-edge open-source AI models and real-world production workloads.
• Massive ownership, high impact, and a fast-paced startup environment.
• A culture that rewards learning, curiosity, and technical growth.

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for a Software Engineer Intern to join our engineering team in our Bangalore office (currently 5 teammates). We're looking for someone who is an all-rounder, but has particularly exceptional backend engineering skills.

Our ideal candidate has built AI agents at the orchestration layer level and leveraged clever engineering techniques to improve latency & reliability for complex workflows.

You will be working alongside senior engineers on our team who will mentor you and coach you; however we expect strong backend engineering skills coming in.

Responsibilities

In this role, you will have the opportunity to build state-of-the-art AI agents, and learn what it takes to build an industry-leading multimodal, multi-agent suite.

You'll wear many hats. Your responsibilities will fall into 3 categories:

AI Engineering

• Develop AI agents with a high bar for reliability and performance.
• Build SOTA LLM-powered tools for providers, practices, and patients.
• Architect our data annotation, fine tuning, and RLHF workflows.
• Live on the bleeding-edge ensuring that every week, we have the most cutting edge agents as the industry evolves.

Full-Stack Engineering (80% backend, 20% frontend)

• Lead the team in designing scalable architecture to support performant web applications.
• Develop features end-to-end for our web applications (Typescript, nodeJS, python etc).

Requirements

You do not need AI experience to apply to this role. While we prefer candidates that have some AI experience, we have hired engineers before that do not have any, but have demonstrated that they are very fast learners.

We prefer candidates who have worked as a founding engineer at an early stage startup (Seed or Preseed) or a Senior Software Engineer at a Series A or B startup.

Perks of Working at Asha Health

#1 Build cool stuff: work on the latest, cutting-edge tech (build frontier AI agents with technologies that evolve every 2 weeks).

#2 Surround yourself with top talent: our team includes senior AI product leaders from companies like Google, experienced physician executives, and top 1% engineering talent (the best of the best).

#3 Rocketship trajectory: we get more customer interest than we have time to onboard, it's a good problem to have :)

Our Mission

To make video as accessible to machines as text and voice are today.

At lookup, we believe the world's most valuable asset is trapped. Video is everywhere, but it's unsearchable—a black box of insight that no one can open or atleast open affordably. We’re changing that. We're building the search engine for the visual world, so anyone can find or do anything with video just by asking.

Text is queryable. Voice is transcribed. Video, the largest and richest data source of all, is still a black box. A computer can't understand it, and so its value remains trapped.

Our mission at lookup is to fix this.

About the Role

We are looking for founding Backend Engineers to build a highly performant, reliable, and scalable API platform that makes enterprise video knowledge readily available for video search, summarization, and natural‑language Q&A. You will partner closely with our ML team working on vision‑language models to productionize research and deliver fast, trustworthy APIs for customers.

Examples of technical challenges you will work on include: distributed video storage, a unified application framework and data model for indexing large video libraries, low‑latency clip retrieval, vector search at scale, and end‑to‑end build, test, deploy, and observability in cloud environments.

What You’ll Do:

• Design and build robust backend services and APIs (REST, gRPC) for vector search, video summarization, and video Q&A.
• Own API performance and reliability, including low‑latency retrieval, pagination, rate limiting, and backwards‑compatible versioning.
• Design schemas and tune queries in Postgres, and integrate with unstructured storage.
• Implement observability across metrics, logs, and traces. Set error budgets and SLOs.
• Write clear design docs and ship high‑quality, well‑tested code.
• Collaborate with ML engineers to integrate and productionize VLMs and retrieval pipelines.
• Take ownership of architecture from inception to production launch.

Who You Are:

• 3+ years of professional experience in backend development.
• Proven experience building and scaling polished WebSocket, gRPC, and REST APIs.
• Exposure to distributed systems and container orchestration (Docker and Kubernetes).
• Hands‑on experience with AWS.
• Strong knowledge of SQL (Postgres) and NoSQL (e.g., Cassandra), including schema design, query optimization, and scaling.
• Familiarity with our stack is a plus, but not mandatory: Python (FastAPI), Celery, Kafka, Postgres, Redis, Weaviate, React.
• Ability to diagnose complex issues, identify root causes, and implement effective fixes.
• Comfortable working in a fast‑paced startup environment.

Nice to have:

• Hands-on work with LLM agents, vector embeddings, or RAG applications.
• Building video streaming pipelines and storage systems at scale (FFmpeg, RTSP, WebRTC).
• Proficiency with modern frontend frameworks (React, TypeScript, Tailwind CSS) and responsive UI design.

Location & Culture

• Full-time, in-office role in Bangalore (we’re building fast and hands-on).
• Must be comfortable with a high-paced environment and collaboration across PST time zones for our US customers and investors.
• Expect startup speed — daily founder syncs, rapid design-to-prototype cycles, and a culture of deep ownership.

Why You’ll Love This Role

• Work on the frontier of video understanding and real-world AI — products that can redefine trust and automation.
• Build core APIs that make video queryable and power real customer use.
• Own systems end to end: performance, reliability, and developer experience.
• Work closely with founders and collaborate in person in Bangalore.
• Competitive salary with meaningful early equity.

You will be responsible for building a highly-scalable and extensible robust application. This position reports to the Engineering Manager.

Responsibilities:

• Align Sigmoid with key Client initiatives
• Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
• Ability to understand business requirements and tie them to technology solutions
• Open to work from client location as per the demand of the project / customer.
• Facilitate in Technical Aspects
• Develop and evolve highly scalable and fault-tolerant distributed components using Java technologies.
• Excellent experience in Application development and support, integration development and quality assurance.
• Provide technical leadership and manage it day to day basis
• Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
• Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid
• Hands on coder with good understanding on enterprise level code.
• Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems
• Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
• Culture
• Must be a strategic thinker with the ability to think unconventional / out:of:box.
• Analytical and solution driven orientation.
• Raw intellect, talent and energy are critical.
• Entrepreneurial and Agile : understands the demands of a private, high growth company.
• Ability to be both a leader and hands on "doer".

Qualifications: -

• 3-5 year track record of relevant work experience and a computer Science or a related technical discipline is required
• Experience in development of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, and propose comprehensive solutions.
• Experience with functional and object-oriented programming, Java (Preferred) or Python is a must.
• Hand-On knowledge in Map Reduce, Hadoop, PySpark, Hbase and ElasticSearch.
• Development and support experience in Big Data domain
• Experience with database modelling and development, data mining and warehousing.
• Unit, Integration and User Acceptance Testing.
• Effective communication skills (both written and verbal)
• Ability to collaborate with a diverse set of engineers, data scientists and product managers
• Comfort in a fast-paced start-up environment.

Preferred Qualification:

• Experience in Agile methodology.
• Proficient with SQL and its variation among popular databases.
• Experience working with large, complex data sets from a variety of sources.

Domain - Credit risk / Fintech 

Roles and Responsibilities: 

1. Development, validation and monitoring of Application and Behaviour score cards

for Retail loan portfolio 

2. Improvement of collection efficiency through advanced analytics

3. Development and deployment of fraud scorecard 

4. Upsell / Cross-sell strategy implementation using analytics 

5. Create modern data pipelines and processing using AWS PAAS components (Glue,

Sagemaker studio, etc.) 

6. Deploying software using CI/CD tools such as Azure DevOps, Jenkins, etc.

7. Experience with API tools such as REST, Swagger, and Postman

8. Model deployment in AWS and management of production environment

9. Team player who can work with cross-functional teams to gather data and derive

insights 

Mandatory Technical skill set : 

1. Previous experience in scorecard development and credit risk strategy development 

2. Python and Jenkins

3. Logistic regression, Scorecard, ML and neural networks 

4. Statistical analysis and A/B testing

5. AWS Sagemaker, S3 , Ec2, Dockers 

6. REST API, Swagger and Postman

7. Excel

8. SQL 

9. Visualisation tools such as Redash / Grafana 

10. Bitbucket, Githubs and versioning tools