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🚨 We’re Building a “Top 1% Engineering Org”
We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.
Think:
→ Rewriting legacy systems into AI-native architectures
→ Embedding LLMs + Agentic AI into core workflows
→ Reimagining platforms, infra, and data systems for the next decade
This is the kind of shift you’d expect from Google, Microsoft, or Meta —
Except you get to build it from day 0 → scale it globally.
About the Role / Team
We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.
This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.
You will be working on:
- Agentic AI systems & LLM-powered workflows
- Distributed, scalable backend systems
- Enterprise-grade AI platforms
- Automation-first engineering environments
🚀 The Mandate
Own and evolve the technical backbone of an AI-first enterprise platform.
You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.
🧩 What You’ll Do
- Architect large-scale distributed systems powering AI-driven workflows
- Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
- Redesign legacy systems into scalable, modular, AI-native architectures
- Drive system design excellence across teams (APIs, infra, observability, reliability)
- Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
- Mentor senior engineers and influence engineering culture/org standards
- Partner with product, data, and leadership on long-term technical strategy
🧠 What We’re Looking For
- Proven track record building high-scale backend or platform systems
- Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
- Strong exposure to data systems/infra / Data / real-time architectures
- Experience or strong interest in LLMs, GenAI, or AI system design
- Exceptional system design, abstraction, and problem-solving ability
- High ownership mindset — you think in terms of systems, not tickets
- Strong coding skills in Python / Java / Go / Node.js
- Solid understanding of data structures, system design basics, and backend architecture
- Experience building scalable APIs and services
- Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
- Strong debugging, problem-solving, and ownership mindset
- Solve hard system problems (latency, scale, reliability)
- Drive cross-team technical decisions and standards
- Mentor senior engineers and influence org-wide architecture
- Design large-scale distributed systems and backend platforms
- Mentorship & Technical Leadership
- Expertise in system design, scalability, and performance optimization
Nice to Have
- Experience integrating LLMs, vector databases, or AI pipelines
- Contributions to architecture at scale
- Experience with Agentic AI / LLM orchestration frameworks
- Background in product engineering or platform companies
- Exposure to global-scale systems (millions of users / high throughput)
🔥 What Sets You Apart
- Built platforms used by millions of users / high-throughput systems
- Experience with event-driven systems, stream processing, or infra platforms
- Prior work on AI/ML platforms, model serving, or intelligent systems
Job Description: Python-Azure AI Developer
Experience: 5+ years
Locations: Bangalore | Pune | Chennai | Jaipur | Hyderabad | Gurgaon | Bhopal
Mandatory Skills:
- Python: Expert-level proficiency with FastAPI/Flask
- Azure Services: Hands-on experience integrating Azure cloud services
- Databases: PostgreSQL, Redis
- AI Expertise: Exposure to Agentic AI technologies, frameworks, or SDKs with strong conceptual understanding
Good to Have:
- Workflow automation tools (n8n or similar)
- Experience with LangChain, AutoGen, or other AI agent frameworks
- Azure OpenAI Service knowledge
Key Responsibilities:
- Develop AI-powered applications using Python and Azure
- Build RESTful APIs with FastAPI/Flask
- Integrate Azure services for AI/ML workloads
- Implement agentic AI solutions
- Database optimization and management
- Workflow automation implementation
Description :
Job Title : Python Engineer- AI Agents & Code Optimization
Experience : 2+ Years
Employment Type : Full-time
Location : Remote
About the Role :
We are looking for a hands-on Software Engineer to build and improve AI agents that work directly on our production code.
Your core responsibility will be to design and evolve a specialized AI agent that deeply understands our codebase and actively helps make it faster, cleaner, simpler, and cheaper to maintain.
This is not a research role. This is real work on real systems with real business impact.
How We Work :
- Business impact first : Cheaper, Faster, Better
- Simple beats complex always
- Small changes, shipped fast
- You own your work end-to-end
- First question is always : Do we even need this?
- Flat team, zero micromanagement
- Decisions can change adaptability matters
- No long PRDs : one clear goal ? discuss ? execute
- Ship, measure, improve, repeat
What You Will Do :
- Build and use AI agents to optimize, refactor, and remove code
- Feed logs, metrics, and performance data back into AI agents
- Profile applications and identify performance bottlenecks
- Optimize SQL queries and database usage
- Improve deployment pipelines and release processes
- Continuously improve internal AI tooling
- Work closely with infrastructure and production systems
Tech You Should Be Comfortable With :
You dont need to be an expert in everything, but you should be comfortable working with :
- Linux CLI (Required)
- Python
- PHP
- SQL (MySQL or MariaDB)
- Shell scripting
- Large Language Models (LLMs)
What Were Looking For :
- 2+ years of software engineering experience (or strong hands-on projects)
- Solid understanding of performance optimization
- Experience cleaning up legacy or messy codebases
- Practical profiling and debugging skills
- Comfortable working close to infrastructure and deployments
- Automation-first mindset
- Ability to explain technical decisions clearly and simply in English
Nice to Have :
- Experience building AI agents
- Exposure to large or long-running systems
- CI/CD or deployment automation experience
When You Join :
- Career Growth : You are expected to grow into a tech lead, entrepreneur, or highly skilled specialist
- Bleeding-Edge Tech : Hands-on experience with alpha/beta software, cutting-edge infrastructure, and top tier hardware
- Global Exposure : Work with a global team and directly with C-level leadership
- Real Impact : Your code directly solves real user problems and moves the company forward
About Wokelo:
Wokelo is an LLM agentic platform for investment research and decision making. We automate complex research and analysis tasks traditionally performed by humans. Our platform is leveraged by leading Private Equity firms, Investment Banks, Corporate Strategy teams, Venture Capitalists, and Fortune 500 companies.
With our proprietary agentic technology and state-of-the-art large language models (LLMs), we deliver rich insights and high-fidelity analysis in minutes—transforming how financial decisions are made.
Headquartered in Seattle, we are a global team backed by renowned venture funds and industry leaders. As we rapidly expand across multiple segments, we are looking for passionate individuals to join us on this journey.
Requirements:
- 0-1 years of experience as a Software Developer.
- Bachelor’s or Master’s degree in Computer Science or related field.
- Proficiency in Python with strong experience in Django Rest Framework.
- Hands-on experience with Django ORM.
- Ability to learn quickly and adapt to new technologies.
- Strong problem-solving and analytical skills.
- Knowledge of NLP, ML models, and related engineering practices (preferred).
- Familiarity with LLMs, RLHF, transformers, embeddings (a plus).
- Prior experience in building or scaling a SaaS platform (a plus).
- Strong attention to detail with experience integrating testing into development workflows.
Key Responsibilities:
- Develop, test, and maintain scalable backend services and APIs using Python (Django Rest Framework).
- Work with Django ORM to build efficient database-driven applications.
- Collaborate with cross-functional teams to design and implement features that enhance the Wokelo platform.
- Contribute to NLP engineering and ML model development to power GenAI solutions (preferred but not mandatory).
- Ensure testing and code quality are embedded into the development process.
- Research and adopt emerging technologies, providing innovative solutions to complex problems.
- Support the transition of prototypes into production-ready features on our SaaS platform.
- Perform adhoc tasks as and when required/assigned by manager.
Why Join Us?
- Opportunity to work on a first-of-its-kind Generative AI SaaS platform.
- A steep learning curve in a fast-paced, high-growth startup environment.
- Exposure to cutting-edge technologies in NLP, ML models, LLM Ops, and DevOps.
- Collaborative culture with global talent and visionary leadership.
- Full health coverage, flexible time-off, and remote work culture.
Responsibilities:
● Design, develop, and maintain scalable backend services and APIs using Java and Spring
Boot.
● Create and optimize SQL database schemas and queries in PostgreSQL to ensure efficient
data storage and retrieval.
● Implement RESTful APIs to facilitate seamless communication between frontend and backend
components.
● Configure and manage Nginx web servers to efficiently handle incoming requests and improve
application performance.
● Deploy and manage applications on AWS or GCP, ensuring scalability, reliability, and
security.
● Configure and optimize message broker systems using Kafka for real-time data processing
and communication.
● Containerize applications using Docker for easy deployment, scaling, and management.
● Create detailed Low-Level Designs (LLDs) and High-Level Designs (HLDs) to guide the
development and architecture of backend systems.
● Automating CI/CD pipelines and streamlining the software development lifecycle.
● Integrate AI/ML models into backend workflows using Python, PyTorch/TensorFlow, or
third-party AI APIs.
● Leverage AI tools (e.g., OpenAI APIs, Hugging Face, AWS AI services) to build intelligent
features.
● Collaborate closely with frontend developers, product managers, data scientists, and other
stakeholders to deliver high-quality AI-powered solutions.
● Monitor and troubleshoot production systems to ensure optimal performance, reliability, and
uptime.
What We’re Looking For:
● Bachelor’s degree in Computer Science, Engineering, or related field.
● 3-5 years of experience in backend development.
● Proficiency in Java, Spring Boot, PostgreSQL, SQL, and GitActions.
● Strong understanding of RESTful API design principles and best practices.
● Experience with configuring and optimizing Nginx web servers.
● Experience with configuring and optimizing Kafka service.
● Hands-on experience with AWS or GCP.
● Familiarity with Docker containers and container orchestration.
● Ability to create comprehensive Low-Level Designs (LLDs) and High-Level Designs (HLDs)
for backend systems.
● Experience with Python for AI/ML model integration in backend services.
● Familiarity with AI platforms and APIs such as OpenAI, Hugging Face, AWS AI/ML, or GCP
Vertex AI.
● Excellent problem-solving skills and attention to detail.
● Strong communication and collaboration skills, with the ability to work effectively in a team
environment.
Preferred Qualifications:
● Knowledge of microservices architecture and related technologies.
● Experience with cloud-native development and serverless computing.
● Understanding of software development best practices, including Agile methodologies
Python Developer at BeyondScale
BeyondScale is a technology company on a mission to democratise AI for small and medium-sized businesses (SMBs). We're building Sitara, an AI-powered ERP suite that is a suite of micro-apps designed specifically for the service sector. Imagine a pocket CRM, a pocket POS, and a suite of essential tools—all streamlined for simplicity and powered by intelligent automation.
The Opportunity:
We're looking for a passionate Python Developer to join our growing team and play a key role in shaping the future of AI-powered ERP. You'll be instrumental in building Sitara, a product poised to disrupt a massive market with high growth potential.
What You'll Do:
- Design, develop, and maintain efficient, reusable, and reliable Python code for our AI-powered ERP platform.
- Develop and integrate web APIs and interact with SQL databases (NoSQL experience a plus).
- Implement automation using object-oriented programming (OOP) principles, multiprocessing, and threading.
- Write clean, well-documented code and actively participate in testing and debugging.
- Leverage Git and modern development workflow practices to ensure a smooth development cycle.
- While not required, familiarity with generative AI concepts (LLMs, RAG) is a plus.
You're a Great Fit If You:
- Have 1+ years of relevant job experience working with Python
- Possess a strong foundation in computer science fundamentals.
- Are a team player with a collaborative spirit and a positive attitude.
- Enjoy learning new technologies and are eager to push boundaries.
- Have excellent communication skills, including the ability to effectively say no when needed.
Relevant Experience:
• 3-5 years
Required Skills
• In-depth experience with Python and OO concepts
• Experience with using NumPy, Pandas, or similar AI/ML libraries
• Deep understanding of multi-process architecture and threading limitations of Python
• Expert knowledge of Python and related frameworks including Django and Flask.
• Experience in Machine Learning and Artificial Intelligence
• Good understanding of relational data modeling concepts and comfortable with SQL
• databases.
• Good understanding of AWS / Azure cloud
• Nice to have
• Experience / Exposure in Chat BOT or Voice BOT
• Experience in Lambda Function OR Azure Functions
• Exposure to Financial Domain
Additional Skillsets Desired:
• Ability to work with clients and key stakeholders to ensure requirements are met
• Strong problem-solving and debugging skills
• Passion to work in a start-up environment and readiness to dabble with challenging
• Ability to work in both a solo and team environment
• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch
1. Ability to read the documentation and perform 3rd party API integrations
2. Experience with Postgres and Redis
3. Experience with AWS - EC2, RDS, DynamoDB, etc
4. Experience with Python
Dashboard
Skills
1. Experience with Django
a. Django Web
b. Django REST
c. Django Channels
d. Django Celery (Queues and Brokers)
2. Experience creating a dashboard with login, user profiles, roles and permissions, reports
3. Experience with Facebook and Twitter OAuth
4. Experience with handling database migrations
Chatbot
Skills
1. Basic understanding of NLP - intents and entities
2. Strong understanding of dialogue management and conversation flow
3. Integrations with Facebook and Twitter APIs.
4. Creating and managing Facebook and Twitter apps
5. Understanding of webhooks and REST APIs.












