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

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.

AccioJob is conducting a Walk-In Hiring Drive with Adobe for the position of Tech Apprentice.

To apply, register and select your slot here: https://go.acciojob.com/fBcgVa

Required Skills: JavaScript, Java, SQL, HTML, CSS, Python

Eligibility:

Degree: MCA

Branch: All

Graduation Year: 2023, 2024, 2025

Work Details:

Work Location: Bangalore (Onsite)

CTC: 6 LPA to 7 LPA

Evaluation Process:

Round 1: Offline Assessment at AccioJob Bangalore & Chennai Centre

Important Note: Bring your laptop & earphones for the test.

Further Rounds (for shortlisted candidates only):

Programming Test, Aptitude + Programming Test, Technical Interview 1

Register here: https://go.acciojob.com/fBcgVa

AccioJob is conducting a Walk-In Hiring Drive with Adobe for the position of Tech Apprentice.

To apply, register and select your slot here: https://go.acciojob.com/vZDDPN

Required Skills: JavaScript, Java, SQL, HTML, CSS, Python

Eligibility:

Degree: BTech./BE

Branch: Computer Science/CSE/Other CS related branch, Electrical/Other electrical related branches, IT, Communications

Graduation Year: 2023, 2024

Work Details:

Work Location: Bangalore (Onsite)

CTC: 6 LPA to 7 LPA

Evaluation Process:

Round 1: Offline Assessment at AccioJob Bangalore & Chennai Centre

Important Note: Bring your laptop & earphones for the test.

Further Rounds (for shortlisted candidates only):

Programming Test, Aptitude + Programming Test, Technical Interview 1

Register here: https://go.acciojob.com/vZDDPN

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.

About the Role:

We are looking for an experienced AWS Engineer with strong expertise in cloud infrastructure design and backend development. The ideal candidate will be hands-on with AWS native services, microservices architecture, and API development, with a preference for those having experience in Go (Golang).

Key Responsibilities:

• Design, build, and maintain scalable, cloud-native applications on AWS
• Develop and manage microservices and containerized deployments using Docker and ECS/Fargate
• Implement and manage AWS services including Fargate, ECS, Lambda, Aurora (PostgreSQL), S3, CloudFront, and DMS
• Build and maintain RESTful APIs (OpenAPI/Swagger) and SOAP/XML services
• Ensure security, performance, and high availability of deployed applications
• Monitor and troubleshoot production issues using CloudWatch and CloudTrail
• Collaborate with cross-functional teams to deliver robust, efficient, and secure solutions

Requirements:

• 6+ years of software development experience with a focus on AWS-based solutions
• Strong hands-on expertise with AWS cloud services and microservices architecture
• Experience in API design and development (REST/SOAP)
• Go (Golang) experience preferred; other backend languages acceptable
• Proficiency with Docker, CI/CD pipelines, and container orchestration
• Strong knowledge of PostgreSQL/Aurora schema design and optimization
• Familiarity with AWS security best practices, IAM, and OAuth 2.0

Preferred:

• AWS Certifications (Solutions Architect / Developer Associate)
• Strong problem-solving, communication, and collaboration skills

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

AccioJob is conducting a Walk-In Hiring Drive with AntStack for the position of Python Backend Developer.

To apply, register and select your slot here: https://go.acciojob.com/WUWVgb

Required Skills: Git, SQL, JavaScript, REST APIs, Cloud Platforms, Python

Eligibility:

• Degree: BTech./BE, MTech./ME, BCA, MCA, BSc., MSc
• Branch: All
• Graduation Year: 2025

Work Details:

• Work Location: Bangalore (Onsite)
• CTC: 4.5 LPA to 6 LPA

Evaluation Process:

Round 1: Offline Assessment at AccioJob Bangalore Centre

Important Note: Bring your laptop & earphones for the test.

Further Rounds (for shortlisted candidates only):

1. Resume Evaluation
2. Technical Interview 1
3. Technical Interview 2
4. Technical Interview 3
5. HR Discussion

Register here: https://go.acciojob.com/WUWVgb

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.

- 5+ years of experience

- Strong in Python, Selenium-based testing, Scripting

- Knowledge of REST APIs and GraphQL APIs

- Working knowledge of Kubernetes, Cloud

- Working understanding of large-scale distributed systems architecture and data-driven

development

- Good debugging and communication skills

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

Job Title: Software Engineer

Location: Bengaluru 

Experience: 1-3 Years 

Working Days: 5 Days

About the Role:

We are reimagining how enterprises in BFSI and healthcare interact with documents and workflows through AI-first platforms. Our focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and Human-in-the-Loop (HITL) automation to transform credit decisioning, underwriting, and compliance operations.

Role Overview:

As a Software Engineer, you’ll design and build next-generation AI systems and scalable backend platforms. You’ll collaborate with ML, product, and data teams to develop LLM-powered microservices, APIs, and document intelligence tools that process unstructured data (PDFs, images, HTML) securely and efficiently.

Key Responsibilities:

• Design, develop, and optimize scalable backend systems and APIs for AI and document workflows.
• Collaborate with cross-functional teams to integrate LLM agents and deploy GenAI-based microservices.
• Build tools to structure unstructured data for downstream decisioning logic.
• Ensure security, performance, and reliability of systems handling sensitive financial and healthcare data.
• Take ownership of modules end-to-end—from concept to production rollout and monitoring.

Tech Stack:

• Languages: Python, TypeScript, JavaScript
• Frameworks: Node.js, React.js, LangChain
• AI & ML Tools: OpenAI APIs, OCR (Tesseract, AWS Textract), Pandas, spaCy, FinBERT, LLMs (GPT, Claude)
• Infra & DevOps: AWS, GCP, Docker, Kubernetes, PostgreSQL, Redis, GitHub Actions, Datadog, Grafana

You’ll Excel If You Have:

• 1–3 years of experience in backend or full-stack development
• Experience with unstructured data, PDFs, or document-heavy systems
• Exposure to GenAI/LLM APIs (OpenAI, Claude, etc.)
• Strong product mindset and ability to ship scalable, usable features in fast-paced environments

Role Overview:

We’re looking for an exceptionally passionate, logical, and smart Backend Developer to join our core tech team. This role goes beyond writing code — you’ll help shape the architecture, lead entire backend team if needed, and be deeply involved in designing scalable systems almost from scratch.

This is a high-impact opportunity to work directly with the founders and play a pivotal role in building the core product. If you’re looking to grow alongside a fast-growing startup, take complete ownership, and influence the direction of the technology and product, this role is made for you.

Why Clink?

Clink is a fast-growing product startup building innovative solutions in the food-tech space. We’re on a mission to revolutionize how restaurants connect with customers and manage offers seamlessly. Our platform is a customer-facing app that needs to scale rapidly as we grow. We also aim to leverage Generative AI to enhance user experiences and drive personalization at scale.

Key Responsibilities:

• Design, develop, and completely own high-performance backend systems.
• Architect scalable, secure, and efficient system designs.
• Own database schema design and optimization for performance and reliability.
• Collaborate closely with frontend engineers, product managers, and designers.
• Guide and mentor junior team members .
• Explore and experiment with Generative AI capabilities for product innovation.
• Participate in code reviews and ensure high engineering standards.

Must-Have Skills:

• 2–4 years of experience in backend development at a product-based company.
• Strong expertise in database design and system architecture.
• Hands-on experience building multiple production-grade applications.
• Solid programming fundamentals and logical problem-solving skills.
• Experience with Python or Ruby on Rails (one is mandatory).
• Experience integrating third-party APIs and services.

Good-to-Have Skills:

• Familiarity with Generative AI tools, APIs, or projects.
• Contributions to open-source projects or personal side projects.
• Exposure to frontend basics (React, Vue, or similar) is a plus.
• Exposure to containerization, cloud deployment, or CI/CD pipelines.

What We’re Looking For:

• Extremely high aptitude and ability to solve tough technical problems.
• Passion for building products from scratch and shipping fast.
• A hacker mindset — someone who builds cool stuff even in their spare time.
• Team player who can lead when required and work independently when needed.

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 3-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

About Borderless Access

Borderless Access is a company that believes in fostering a culture of innovation and collaboration to build and deliver digital-first products for market research methodologies. This enables our customers to stay ahead of their competition.

We are committed to becoming the global leader in providing innovative digital offerings for consumers backed by advanced analytics, AI, ML, and cutting-edge technological capabilities.

Our Borderless Product Innovation and Operations team is dedicated to creating a top-tier market research platform that will drive our organization's growth. To achieve this, we're embracing modern technologies and a cutting-edge tech stack for faster, higher-quality product development.

The Product Development team is the core of our strategy, fostering collaboration and efficiency. If you're passionate about innovation and eager to contribute to our rapidly evolving market research domain, we invite you to join our team.

Key Responsibilities

• Lead, mentor, and grow a cross-functional team of engineers specializing.
• Foster a culture of collaboration, accountability, and continuous learning.
• Oversee the design and development of robust platform architecture with a focus on scalability, security, and maintainability.
• Establish and enforce engineering best practices including code reviews, unit testing, and CI/CD pipelines.
• Promote clean, maintainable, and well-documented code across the team.
• Lead architectural discussions and technical decision-making, with clear and concise documentation for software components and systems.
• Collaborate with Product, Design, and other stakeholders to define and prioritize platform features.
• Track and report on key performance indicators (KPIs) such as velocity, code quality, deployment frequency, and incident response times.
• Ensure timely delivery of high-quality software aligned with business goals.
• Work closely with DevOps to ensure platform reliability, scalability, and observability.
• Conduct regular 1:1s, performance reviews, and career development planning.
• Conduct code reviews and provide constructive feedback to ensure code quality and maintainability.
• Participate in the entire software development lifecycle, from requirements gathering to deployment and maintenance.

Added Responsibilities

• Defining and adhering to the development process.
• Taking part in regular external audits and maintaining artifacts.
• Identify opportunities for automation to reduce repetitive tasks.
• Mentor and coach team members in the teams.
• Continuously optimize application performance and scalability.
• Collaborate with the Marketing team to understand different user journeys.

Growth and Development

The following are some of the growth and development activities that you can look forward to at Borderless Access as an Engineering Manager:

• Develop leadership skills – Enhance your leadership abilities through workshops or coaching from Senior Leadership and Executive Leadership.
• Foster innovation – Become part of a culture of innovation and experimentation within the product development and operations team.
• Drive business objectives – Become part of defining and taking actions to meet the business objectives.

About You

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software development.
• Experience with microservices architecture and container orchestration.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Solid understanding of data structures, algorithms, and software design patterns.
• Solid understanding of enterprise system architecture patterns.
• Experience in managing a small to medium-sized team with varied experiences.
• Strong proficiency in back-end development, including programming languages like Python, Java, or Node.js, and frameworks like Spring or Express.
• Strong proficiency in front-end development, including HTML, CSS, JavaScript, and popular frameworks like React or Angular.
• Experience with databases (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with cloud platforms AWS, Azure, or GCP (preferred is Azure).
• Knowledge of containerization technologies Docker and Kubernetes.

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

Location: Bengaluru, India

Experience: 5 to 8 Years

Employment Type: Full-time

About the Role

We’re looking for an experienced Full Stack Developer with strong expertise across modern frontend frameworks, scalable backend systems, and cloud-native DevOps environments.

The ideal candidate will play a key role in designing, developing, and deploying end-to-end solutions that power high-performance, data-driven applications.

Key Responsibilities

• Design, develop, and maintain scalable frontend applications using React.js and Next.js.
• Build robust backend services and APIs using FastAPI (Python), Node.js, or Java.
• Implement database design, queries, and optimization using PostgreSQL, MongoDB, and Redis.
• Develop, test, and deploy cloud-native solutions on Azure (preferred) or AWS.
• Manage containerized environments using Docker and Kubernetes.
• Automate deployments and workflows with Terraform, GitHub Actions, or Azure DevOps.
• Ensure application security, performance, and reliability across the stack.
• Collaborate closely with cross-functional teams (designers, product managers, data engineers) to deliver quality software.

Required Skills

Frontend: Next.js, React.js, TypeScript, HTML, CSS, Tailwind (preferred)

Backend: Python (FastAPI), Node.js, Java, REST APIs, GraphQL (optional)

Databases: PostgreSQL, MongoDB, Redis

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

CI/CD: GitHub Actions, Azure DevOps, Jenkins (nice to have)

Version Control: Git, GitHub/GitLab

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4+ years of hands-on experience in full-stack development.
• Strong problem-solving skills and ability to architect scalable solutions.
• Familiarity with Agile development and code review processes.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with microservices architecture.
• Exposure to API security and authentication (OAuth2, JWT).
• Experience in setting up observability tools (Grafana, Prometheus, etc.).

Compensation

Competitive salary based on experience and technical proficiency.

Business Analyst

Domain: Product / Fintech / Credit Cards

Mandatory Technical Skill Set

• Previous experience in a product-based company is mandatory
• Experience working with credit bureau data (CIBIL, Experian, Equifax, etc.) for customer profiling, credit risk insights, or strategy building
• Churn analysis and strategy building on subscription management experience
• BNPL or credit cards growth strategy building experience
• ML model development experience is a plus
• Python
• Statistical analysis and A/B testing
• Excel
• SQL
• Visualization tools such as Redash / Grafana / Tableau / Power BI
• Bitbucket, GitHub, and other versioning tools

Roles and Responsibilities

• Work on product integrations, data collection, and data sanity checks
• Improve product features for sustainable churn management
• Cohort analysis and strategy building for credit card usage growth
• Conduct A/B testing for better subscription conversion and offers
• Monitor key business metrics
• Track changes and perform impact analysis

Python Backend Developer

We are seeking a skilled Python Backend Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be on developing server-side logic to ensure high performance and responsiveness to requests from the front end. You will also be responsible for integrating front-end elements built by your coworkers into the application, as well as managing AWS resources.

Roles & Responsibilities

• Develop and maintain scalable, secure, and robust backend services using Python
• Design and implement RESTful APIs and/or GraphQL endpoints
• Integrate user-facing elements developed by front-end developers with server-side logic
• Write reusable, testable, and efficient code
• Optimize components for maximum performance and scalability
• Collaborate with front-end developers, DevOps engineers, and other team members
• Troubleshoot and debug applications
• Implement data storage solutions (e.g., PostgreSQL, MySQL, MongoDB)
• Ensure security and data protection

Mandatory Technical Skill Set

• Implementing optimal data storage (e.g., PostgreSQL, MySQL, MongoDB, S3)
• Python backend development experience
• Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or GitHub Actions
• Implemented and managed containerization platforms such as Docker and orchestration tools like Kubernetes
• Previous hands-on experience in:
• EC2, S3, ECS, EMR, VPC, Subnets, SQS, CloudWatch, CloudTrail, Lambda, SageMaker, RDS, SES, SNS, IAM, S3, Backup, AWS WAF
• SQL

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

About Corridor Platforms

Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance, empowering banks and lenders to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and GenAI to support complex financial decision workflows for regulated industries.

Role Overview

As a Backend Engineer at Corridor Platforms, you will:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers – such as SQLAlchemy – and multi RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Technical Skills

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark
• Databases: PostgreSQL, Oracle, SQL Server, Redis
• Tools: pytest, Docker, Git, Nx
• Cloud: Experience with AWS, Azure, or GCP preferred
• Monitoring: Familiarity with OpenTelemetry and logging frameworks

Why Join Us?

• Cutting-Edge Tech: Work hands-on with the latest AI, cloud-native workflows, and big data tools—all within a single compliant platform.
• End-to-End Impact: Contribute to mission-critical backend systems, from core data models to live production decision services.
• Innovation at Scale: Engineer solutions that process vast data volumes, helping financial institutions innovate safely and effectively.
• Mission-Driven: Join a passionate team advancing fair, transparent, and compliant risk decisioning at the forefront of fintech and AI governance.

What We’re Looking For

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows,  and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Ready to build backends that shape the future of decision intelligence and responsible AI?

Apply now and become part of the innovation at Corridor Platforms!

To lead the design, development, and optimization of high-scale search and discovery systems

leveraging deep expertise in OpenSearch. The Search Staff Engineer will enhance search

relevance, query performance, and indexing efficiency by utilizing OpenSearch’s full-text, vector

search, and analytics capabilities. This role focuses on building real-time search pipelines,

implementing advanced ranking models, and architecting distributed indexing solutions to

deliver a high-performance, scalable, and intelligent search experience.

Responsibilities:

• Architect, develop, and maintain a scalable OpenSearch-based search infrastructure for

high-traffic applications.

• Optimize indexing strategies, sharding, replication, and query execution to improve

search performance and reliability.

• Implement cross-cluster search, multi-tenant search solutions, and real-time search

capabilities.

• Ensure efficient log storage, retention policies, and lifecycle management in

OpenSearch.

• Monitor and troubleshoot performance bottlenecks, ensuring high availability and

resilience.

• Design and implement real-time and batch indexing pipelines for structured and

unstructured data.

• Optimize schema design, field mappings, and tokenization strategies for improved

search performance.

• Manage custom analyzers, synonyms, stopwords, and stemming filters for multilingual

search.

• Ensure search infrastructure adheres to security best practices, including encryption,

access control, and audit logging.

• Optimize search for low latency, high throughput, and cost efficiency.

• Collaborate cross-functionally with engineering, product, and operations teams to

ensure seamless platform delivery.

• Define and communicate a strategic roadmap for Search initiatives aligned with business

goals.

• Work closely with stakeholders to understand database requirements and provide

technical solutions.

Requirements:

• 8+ years of experience in search engineering, with at least 3+ years of deep experience in

OpenSearch.

• Strong expertise in search indexing, relevance tuning, ranking algorithms, and query

parsing.

• Hands-on experience with OpenSearch configurations, APIs, shards, replicas, and

cluster scaling.

• Strong programming skills in Node.js and Python and experience with OpenSearch SDKs.

• Proficiency in REST APIs, OpenSearch DSL queries, and aggregation frameworks.

• Knowledge of observability, logging, and monitoring tools (Prometheus, OpenTelemetry,

Grafana).

• Experience managing OpenSearch clusters on AWS OpenSearch, Containers, or self-

hosted environments.

• Strong understanding of security best practices, role-based access control (RBAC),

encryption, and IAM.

• Familiarity with multi-region, distributed search architectures.

• Strong analytical and debugging skills, with a proactive approach to identifying and

mitigating risks.

• Exceptional communication skills, with the ability to influence and drive consensus

among stakeholders.

Who we are: My AI Client is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents and they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers."

The Challenge

The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. My AI Client is building a unified, robust backend to resolve these issues for the developer community.

Your Mission

As a foundational member of the backend team, you will architect core systems, focusing on:

• Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication.
• Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text.
• Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines.

What You'll Bring

• My AI Client seeks an experienced engineer comfortable with complex systems and ambiguity.

Core Experience:

● Typically 3 to 5 years of experience in backend engineering roles.

● Expertise in Python, especially with async frameworks like FastAPI.

● Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar).

● Proven experience designing and building microservice or agent-based architectures.

Specialized Experience (Ideal):

• Real-Time Systems: Experience with real-time media transmission like WebRTC, WebSockets and ways to process them.
• Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices.
• Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security.
• Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV).
• Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers.

Your Impact

• The systems designed by this role will form the foundation for:
• Thousands of AI agents for major partners across chat, video, and APIs.
• A new creator economy enabling developers to earn revenue through agents.
• The overall speed, security, and scalability of my client’s AI platform.

Why Join Us?

• Opportunity to solve hard problems with clean, scalable code.
• Small, fast-paced team with high ownership and zero micromanagement.
• Belief in platform engineering as a craft and care for developer experience.
• Conviction that AI agents are the future, and a desire to build their powering platform.
• Dynamic, collaborative in-office work environment in Bengaluru in a Hybrid setup (weekly 2 days from office)
• Meaningful equity in a growing, well-backed company.
• Direct work with founders and engineers from top AI companies.
• A real voice in architectural and product decisions.
• Opportunity to solve cutting-edge problems with no legacy code.

Ready to Build the Future?

My AI Client is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.

Job Role: Optimization Engineer - C Programming

Experience: 3 to 8 Years

Location: Bangalore, Pune, Delhi

Were hiring an Optimization Engineer skilled in C Programming and Operations Research / Optimization to design and optimize algorithms solving complex business and engineering problems.

Key Responsibilities:

• Develop and maintain high-performance software using C.
• Build and implement optimization models (linear, integer, nonlinear).
• Collaborate with teams to deliver scalable, efficient solutions.
• Analyze and improve existing algorithms for performance and scalability.

Must-Have Skills:

• Expertise in C Programming and Operations Research / Optimization.
• Strong in data structures, algorithms, and memory management.
• Hands-on with tools like CPLEX, Gurobi, or COIN-OR.
• Python experience is an added advantage.

Preferred Skills:

• Knowledge of Python, C++, or Java.
• Familiarity with AMPL, GAMS, or solver APIs.
• Understanding of HPC, parallel computing, or multi-threading.

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.

We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.

Key Responsibilities :

- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.

- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.

- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.

- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.

- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.

- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.

- Implement inter-service communication using gRPC and REST.

- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.

Required Skills & Qualifications :

- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.

- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.

- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).

- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.

- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.

- Proven experience with system architecture, distributed systems, and microservices.

- Strong familiarity with Any Cloud infrastructure and deployment practices.

- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.

Job Description:

About CoffeeBeans Consulting

CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery—from exploration and modeling to GenAI application development and deployment.

Location : Bangalore / Pune 

Work mode : Hybrid ( 3 days WFO)

Role Overview

As an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistants.

This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI applications.

Key Responsibilities

ML & Data Science

Own and deliver ML model development, tuning, and evaluation for client-facing projects.

Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervision.

Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectations.

Contribute to experimentation frameworks and model reproducibility best practices.

GenAI & LLM Applications

Design and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Llama).

Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI systems.

Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context providers.

Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app development.

Product & Engineering Collaboration

Collaborate with engineering teams to take models from experimentation to deployment (batch/real-time).

Assist in building APIs and data pipelines needed for productionizing models.

Contribute to technical documentation, explainability reports, and client presentations.

Team & Growth

Mentor junior data scientists and review code/model design.

Stay current with advances in ML and GenAI to inform solution design and share knowledge internally.

Participate in discovery and solutioning phases with clients alongside tech leads and PMs.

Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

4.5 - 6 years of hands-on experience in applied data science, including both ML model development and GenAI-based solutioning.

Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGBM, etc.).

Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or similar).

Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM outputs.

Proficiency in SQL and data wrangling tools (pandas, NumPy).

Experience working with REST APIs, Git, and cloud environments (AWS/GCP).

Good-to-Have Skills

Experience with deploying models via FastAPI, Docker, or serverless platforms.

Knowledge of MLOps tools (MLflow, DVC) and monitoring frameworks.

Experience with embeddings, vector databases, and similarity search.

What You Can Expect at CoffeeBeans

Work on real-world AI/ML problems across verticals.

Be part of a fast-moving team delivering end-to-end ML & GenAI apps.

Collaborate with experienced engineers and PMs in a flat and open culture.

Opportunities to lead, mentor, and influence tech direction.

About Us:

We are a fast-growing startup building AI-powered solutions centered around intelligent agents. Our mission is to deliver seamless, intuitive interfaces that make advanced AI accessible to real users through modern, responsive web applications.

Role: Full Stack Developer Developer

We’re looking for a Full Stack Developer who can design and develop production-ready web applications with excellent frontend user experiences and robust backend systems. You’ll work closely with our AI, product, and design teams to build interactive platforms connecting users with intelligent AI agents.

Responsibilities:

• Develop, test, and maintain end-to-end web applications with modern frontend frameworks and scalable backends.
• Collaborate with AI engineers to integrate agent-driven APIs and real-time data into the UI.
• Design and implement RESTful/GraphQL APIs and efficient database structures.
• Optimize application performance, load times, and user responsiveness.
• Write clean, modular, and reusable code following software design principles.

Requirements:

• THE CANDIDATE MUST BE COMFORTABLE WITH FRONTEND DEVELOPMENT AND HAVE A STRONG UNDERSTANDING OF UI/UX DESIGN PRINCIPLES.
• Strong expertise in Frontend Technologies:React.js,HTML, CSS
• JavaScript,TypeScript, and DOM manipulation.
• State management (Redux, Zustand, Context API,Rest API).
• UI libraries like Material UI, Tailwind CSS, or Bootstrap.
• Proficiency in Node.js and Express.js for backend development.
• Strong understanding of database design (MongoDB, PostgreSQL, or MySQL).
• Knowledge of API design patterns, MVC architecture, and low-level OOP design.
• Hands-on experience with Git/GitHub, version control, and collaborative workflows.
• Awareness of real-time data handling (WebSockets), security, and performance optimization.
• Prior experience building or deploying production-grade web applications through past experience and internships.
• Exposure to AI-powered or multi-agent systems.
• Familiarity with Figma or other design collaboration tools.

What You’ll Gain:

• Hands-on experience building real-world AI-integrated full-stack applications.
• Opportunity to work on frontend architecture, design systems, and API integrations.
• Mentorship from experienced full-stack and AI engineers.
• Pathway for conversion to a full-time position based on performance.

Location: Bangalore/ Mangalore 

Experience required: 1-3 years.  

Key skills: Python, Django/Flask and FastAPI, databases (MySQL/PostgreSQL and MongoDB) 

We are seeking a skilled Python Developer with 1-3 years of experience who can contribute as an individual performer while also supporting technical decision-making and mentoring junior developers. The role involves designing and building scalable backend systems using Django/Flask and FastAPI, and collaborating closely with cross-functional teams to deliver high-quality software solutions. 

Responsibilities:  

• Develop robust, scalable, and efficient backend applications using Python (Django/Flask and FastAPI). 
• Build and maintain RESTful APIs that are secure, performant, and easy to integrate. 
• Collaborate with cross-functional teams to deliver seamless and impactful software solutions. 
• Participate actively in all phases of the software development life cycle: requirements gathering, design, development, testing, deployment, and maintenance. 
• Write clean, maintainable, and well-documented code that meets industry best practices. 
• Troubleshoot, debug, and optimize existing systems for performance and scalability. 
• Contribute ideas for continuous improvement in development processes and team culture. 

 Requirements:  

• 1-3 years of hands-on development experience in Python, with proficiency in frameworks like Django/Flask and FastAPI. 
• Strong understanding of OOP concepts, design principles, and design patterns. 
• Solid experience working with databases. 
• Good knowledge of designing and consuming RESTful APIs. 
• Comfortable working with version control systems like Git and collaborating in code reviews. 
• Exposure to cloud platforms (AWS, Azure, or GCP) is an added advantage. 
• Familiarity with Docker and containerized application development is a plus. 
• Understanding of CI/CD pipelines is desirable. 
• Analytical mindset with strong problem-solving skills. 
• Solid experience working with databases (MySQL/PostgreSQL and MongoDB) 

About the Company:   

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore.   

We specialize in designing and developing bespoke software solutions that cater to solving niche business problems. 

We engage with our clients at various stages:   

• Right from the idea stage to scope out business requirements.   
• Design & architect for the right solution and define tangible milestones.   
• Setup dedicated and on-demand tech teams for agile delivery.   
• Take accountability for successful deployments to ensure efficient go-to-market Implementations.

Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business.   

Join the MachineHack - AIM Media House Team

At MachineHack, we craft AI-powered platforms and products that push the boundaries of

learning and innovation. From MachineHack (the hackathon hub) to CloudLab (hands-on AI

playground) to Datalyze (data-driven insights), plus countless experimental AI projects, we’re

always building, always shipping.

We’re not just coding software, we’re creating experiences where people can learn, compete, and create. If you’re passionate about solving problems, experimenting with AI, and vibing with a team that learns every day, you’ll feel right at home here

Why Work With Us?

● Be part of a fast-moving AI-first team where new ideas turn into products quickly.

● Work with modern tech stacks across AI, backend, frontend, and DevOps.

● Collaborate with engineers who are learners first,humble, supportive, and curious.

● Opportunity to contribute to high-impact platforms used by thousands in the AI/ML community.

● A culture that values learning > titles and team vibe > ego.

Our Tech Playground

We don’t shy away from complexity. We thrive in it. Here’s what we love working with:

● Backend & AI: Node.js, Python, TypeScript, Low-Level System Design, DSA, Prompt Engineering

● Frontend: React, Next.js, TypeScript

● DevOps & Cloud: AWS (EC2, Lambda, Terraform, CI/CD), Docker, Kubernetes, Helm Charts

● Testing & Quality: Playwright, Selenium, Unit Testing frameworks

● Infra & Systems: Container orchestration, Virtual Machines, AWS Infra Deployment

● Bonus Points: ML/AI model experience, guiding juniors, proven UX understanding

What Makes You a Good Fit

● 2–6 years of experience in software development

● Strong grounding in JS, Python, Node, and cloud-native tools

● Comfortable with system design, backend architecture, and team collaboration

● Can mentor juniors and handle multiple projects at once

● Fluent in English and able to communicate ideas clearly

● Humble, supportive, approachable,like a teammate and a friend

● Excited to learn, build, and experiment in AI projects

● Bonus: Some ML exposure (but not mandatory)

About ThoughtClan Technologies

ThoughtClan is a niche, technology-focused, 100+ people strong software company that works on building complex enterprise-scale web and mobile-oriented digitalization and data science-related projects. They are in IT Services as well as Product Development space. They focus on applying technology to enable businesses to function better. ThoughtClan is a team of highly specialized technical folks and is growing rapidly.

They have expertise in developing projects related to:

1. Data Science — including Image Analytics, Video Analytics, Building AI/ML-based Prediction Models, etc.
2. Blockchain — based Cryptocurrency and NFT projects.
3. Enterprise-Scale Greenfield Web and Mobile Application Development, Integration, eCommerce, Marketing, and Content Management projects.

We are looking for a Data Scientist to join our fast-growing team.

The candidate must have:

• 3–4 years’ experience in Data Modeling in Python and AI/ML.
• Hands-on experience with Machine Learning and Deep Learning techniques and tools. Tools: RAG, LLMs, Agentic AI, Langchain, Langgraph, PyTorch, OpenCV, Pandas, Scikit Learn, CrewAI, Autogen or AI chatbots. Proven ability to use/create algorithms and run simulations. Experience: Minimum 1–1.5 years or 2 projects. A technical understanding of Microservice Architectures is a plus.
• Good knowledge of Azure Platform for deployment.
• Good knowledge of web frameworks such as Flask.
• Hands-on knowledge on a NoSQL database (Maria DB, Mongo DB, etc.).
• Experience in Visualization of Data using tools like D3.js, Plotly, Power BI, and Tableau. Experience in visualizing large data is a plus.
• Experience using a variety of data mining/data analysis methods with the ability to drive business results using data-based insights and work with large data sets.
• Comfortable working with a wide range of stakeholders and functional teams.
• Good designing skills and communication skills.
• Good knowledge of front-end technologies (HTML, CSS, etc.) would be an advantage.

Dear Candidate,

Greetings from Wissen Technology. 

We have an exciting Job opportunity for GCP SRE Engineer Professionals. Please refer to the Job Description below and share your profile if interested.   

 About Wissen Technology:

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
• The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
• 
  

We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, MSCI, State Street Corporation, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description: 

Please find below details:

Experience - 4+ Years

Location- Bangalore/Mumbai/Pune

Team Responsibilities

The successful candidate shall be part of the S&C – SRE Team. Our team provides a tier 2/3 support to S&C Business. This position involves collaboration with the client facing teams like Client Services, Product and Research teams and Infrastructure/Technology and Application development teams to perform Environment and Application maintenance and support.

Resource's key Responsibilities

• Provide Tier 2/3 product technical support.

• Building software to help operations and support activities.

• Manage system\software configurations and troubleshoot environment issues.

• Identify opportunities for optimizing system performance through changes in configuration or suggestions for development.

• Plan, document and deploy software applications on our Unix/Linux/Azure and GCP based systems.

• Collaborate with development and software testing teams throughout the release process.

• Analyze release and deployment processes to identify key areas for automation and optimization.

• Manage hardware and software resources & coordinate maintenance, planned downtimes with

infrastructure group across all the environments. (Production / Non-Production).

• Must spend minimum one week a month as on call support to help with off-hour emergencies and maintenance activities.

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 6-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

Hi Shanon, As discussed we have one open req for AI role. The right skill set I am looking for is experience with RAG pipelines, Performance monitoring of prompts and tuning. Multi model RAG and agentic AI soon but not night away. Needless to say Python and the NLP lib experience is a must. Database knowledge is also essential. The developer needs to be in Morgan Stanley offices 3 days per week. BLR location is preferred, if not Mumbai is also fine. The duration is long term since we are looking to expand the use cases Please let me know if you have any questions.