- Deep understanding of Django and DRF
- Write effective, scalable code
- Develop back-end components to improve responsiveness and overall performance
- Integrate user-facing elements into applications
- Test and debug programs
- Improve functionality of existing systems
- Implement security and data protection solutions
- Assess and prioritize feature requests
- Coordinate with internal teams to understand user requirements and provide technical solutions

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Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 2M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
- States
- Stages
- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
- Product teams
- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have 2-5 years of backend engineering experience
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?
As a Python Engineer, you will play a critical role in building and scaling data pipelines, developing prompts for large language models (LLMs), and deploying them as efficient, scalable APIs. You will collaborate closely with data scientists, product managers, and other engineers to ensure seamless integration of data solutions and LLM functionalities. This role requires expertise in Python, API design, data engineering tools, and a strong understanding of LLMs and their applications.
Job Category: Software Development
Job Type: Full Time
Job Location: Bangalore
Gnani.ai aims to empower enterprises with AI based speech technology.
Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,
We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.
Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.
NLP Software Developer
Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set
Requirements :
- Proficient knowledge of Python
- Proficient understanding of code versioning tools, such as Git / SVN.
- Good knowledge of algorithms to find and implement tools for NLP tasks
- Knowledge of NLP libraries and frameworks
- Understanding of text representation techniques, algorithms, statistics
- Syntactic & Semantic Parsing
- Knowledge/work experience on No-SQL database Mongo.
- Good knowledge of Docker container technologies.
- Strong communication skills
Responsibilities :
- Develop NLP systems according to requirements
- Maintain NLP libraries and frameworks
- Design and develop natural language processing systems
- Define appropriate datasets for language learning
- Use effective text representations to transform natural language into useful features
- Train the developed model and run evaluation experiments
- Find and implement the right algorithms and tools for NLP tasks
- Perform statistical analysis of results and refine models
- Constantly keep up to date with the field of machine learning
- Implement changes as needed and analyze bugs
Good To Have :
Start up experience is a plus
As an Associate Software Engineer, you will have the opportunity to collaborate on the creation and maintenance of scalable, high-quality software as we grow. You'll work closely with the CTO and quickly gain skills and responsibilities as the team and the technical requirements grow.
Primary Responsibilities
- Develop RESTful APIs leveraging Django classes, ORM and Postgres Database
- Develop solutions that meet business objectives while leveraging industry best practices
- Write high-quality source code to program complete applications within deadlines
- Troubleshoot and debug applications
Technical Competencies
- Expertise with Python language
- Experience with Django: maintaining APIs
- Familiarity using Git, code repositories, branching and merging strategies
- Ability to break down complex concepts, tasks, or problems into more simple, understandable language and action plans
- Excellent communication skills, and attention to detail
- Good Documentation skills
Perks
- Work from home
- Flexible work schedule
- Flexible standup meetings
Interview Process
- Two technical rounds with Senior Developer and CTO
- Cultural Fit interview with Project Manager
Please do not apply if you don't have professional Django work experience.
Your Responsibilities would be to:
- Architect new and optimize existing software codebases and systems used to crawl, launch, run, and monitor the Anakin family of app crawlers
- Deeply own the lifecycle of software, including rolling out to operations, managing configurations, maintaining and upgrading, and supporting end-users
- Configure and optimize the automated testing and deployment systems used to maintain over 1000+ crawlers across the company
- Analyze data and bugs that require in-depth investigations
- Interface directly with external customers including managing relationships and steering requirements
Basic Qualifications:
- Extremely effective, self-driven builder
- 2+ years of experience as a backend software engineer
- 2+ years of experience with Python
- 2+ years of experience with AWS services such as EC2, S3, Lambda, etc.
- Should have managed a team of software engineers
- Deep experience with network debugging across all OSI layers (Wireshark)
- Knowledge of networks or/and cybersecurity
Preferred Skills and Experience
- Broad understanding of the landscape of software engineering design patterns and principles
- Ability to work quickly and accurately in a highly stressful environment during removing bugs in run-time within minutes
- Excellent communicator, both written and verbal
Additional Requirements
- Must be available to work extended hours and weekends when needed to meet critical deadlines
- Must have an aversion to politics and BS. Should let his/her work speak for him/her.
- Must be comfortable with uncertainty. In almost all the cases, your job will be to figure it out.
- Must not be bounded to comfort zone. Often, you will need to challenge yourself to go above and beyond.
- Relevant Experience : Minimum 2 Years
- You have prior experience developing and working on consumer facing web/app products
- Hands-on experience on Python. Exceptions can be made if you’re really good on any other language with experience on building web/app based tech products
- Experience in at least one of the following frameworks - Django, Flask, Falcon, web2py, Twisted, Tornado
- Working knowledge of MySQL, MongoDB, Redis
- Good understanding of Data Structures, Algorithms and Operating Systems
- You've worked with core AWS services in the past and have experience with EC2, ELB, AutoScaling, CloudFront, S3
- You can dabble in Frontend codebases using HTML, CSS and Javascript
- You love doing things efficiently. At Fynd, the work you do will have a disproportionate impact on the business. We believe in systems and processes that let us scale our impact to be larger than ourselves
- You might not have experience with all the tools that we use but you can learn those given the guidance and resources
## Please apply if you have experience working on Trading Applications, all others would be automatically rejected ###
Our Core team develops connectivity software for low latency communication with derivatives exchanges all over the world, as well as real-time position and risk limit monitoring. The team's expertise is also relied upon by other C++ development groups to produce high-quality libraries and frameworks for their application development. We have a high degree of freedom and responsibility to produce technologically advanced solutions to demanding real-world problems.
From joining you will have ownership on a diverse set of projects that have a direct impact on trading performance. You will work closely with highly skilled colleagues who share your enthusiasm and deep knowledge of C++, Linux and network protocols, and share your hunger to learn more.
What We Are Looking For
- An experienced Modern C++ developer (C++17/20), with minimum 5 years experience and proficiency with C++ templates.
- A developer, who designs code to push every performance boundary.
- Excellent written and verbal communication skills.
- Ability to solve new and unfamiliar problems quickly and creatively.
Ideal Experience Would Include
- Knowledge of multiple exchanges.
- Ultra low latency design.
- Template metaprogramming.
- Network programming experience.
- Python.
What We Offer
- A great engineering environment whereby technology is key to our success and a C++20 code base.
- Great friendly, informal and highly rewarding culture.
- Fast growing global firm with plenty of opportunities where you will have significant impact.
About Us
Our approach to trading is scientific and technology driven. Tight integration between trading and software development, relying on cutting edge infrastructure is core to our success. Our teams of C++, Python, C# and FPGA developers are responsible for our in-house applications, ranging from the world's lowest latency execution systems, through web-based user interfaces, to tools to interrogate multi-terabyte data sets.











