MLOps Engineer at Pipaltree AI · Hyderabad · 3 - 7 years · ₹10L - ₹20L / yr · Raised funding · Posted 9 Apr 2026

Key Responsibilities:
- Work with distributed systems and implement asynchronous programming patterns
- Design and develop scalable backend applications using Python
- Build and integrate applications leveraging LLMs or traditional Machine Learning techniques
- Develop and maintain microservices-based architectures
- Work with databases and caching systems to optimize application performance
- Participate in code reviews and maintain high code quality standards
- Write clean, maintainable, and well-documented code following best practices
Required Skills:
- 3+ years of relevant experience
- Strong understanding of distributed systems and asynchronous programming in Python
- Experience building scalable applications using LLMs or traditional ML techniques
- Hands-on experience with databases, caching mechanisms, and microservices architecture
- Good problem-solving and debugging skills

About Pipaltree AI
About
We are building The first AI driven brand health measurement system in the world. We conduct real conversations with real customers at scale to understand health of the brand and provide actionable insights.
Candid answers by the company
We help build stronger brands..
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Key Responsibilities
- Design, develop, and maintain scalable applications using Python.
- Build and integrate AI-powered solutions into existing applications.
- Develop REST APIs and backend services.
- Work with AI/ML models, LLMs, and Generative AI technologies where applicable.
- Integrate AI services and APIs into business applications.
- Write clean, maintainable, and efficient code.
- Collaborate with cross-functional teams to deliver high-quality solutions.
- Troubleshoot issues and optimize application performance.
Must-Have Skills
- Strong hands-on experience in Python development.
- Good understanding of Python frameworks such as FastAPI, Flask, or Django.
- Experience in REST API development and backend services.
- Knowledge or experience in AI/ML concepts.
- Understanding of application development, debugging, and problem-solving.
- Good understanding of databases and data handling.
Good-to-Have Skills
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience with AI APIs and frameworks such as LangChain or LlamaIndex.
- Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, or CI/CD pipelines.
We are seeking talented software developers who are passionate about coding and building & scaling
products. If you love taking on new challenges and have a problem solving mindset to solve problems through
code, you will be a perfect fit for our rockstar engineering team.
Roles and Responsibilities:
● Design and develop backend architectures to support robust, scalable, and secure web applications and
systems with a focus on backend development using Django.
● Design, implement and maintain high quality RESTful APIs to support seamless communication between
frontend, backend and other services.
● Design, implement, and maintain database schemas. Ensure the integrity, performance, and security of
data.
● Ensure the scalability and reliability of our backend infrastructure on AWS. Ensure reliable management of
infrastructure on cloud aiming for 0 downtime of systems.
● Write clean, maintainable, and efficient code, while adhering to best practices and industry standards.
Develop and maintain documentation for our backend systems, APIs, and data models.
● Conduct high quality code reviews and provide feedback to other team members to ensure best practices
are adhered to.
● Take ownership of the development, testing, and deployment of web applications. Break down high-level
business problems into smaller chunks and build systems.
● Work closely with the frontend development team, product managers, and designers to plan new features
and optimize existing ones.
● Constantly aim to improve performance and optimize systems by identifying bottlenecks and resolving
them for increased efficiency.
● Stay up-to-date with the latest technologies such as LLMs, and implement them as and when required
Skills and Qualifications:
● Bachelor's degree in Computer Science, Computer Engineering or a related field.
● 4+ years of experience in full-stack web development, with a focus on backend development.
● Strong proficiency in Python and Django, including experience with Django Rest Framework.
● Experience working with SQL/PostgreSQL databases, including schema design, querying, and
optimization.
● Proficiency in AWS services such as EC2, RDS, S3, and Lambda.
● Familiarity of integrations with third party services and open source frameworks
● Strong understanding of data structures, algorithms, and software design patterns.
● Experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.
● Familiarity with LLM frameworks such as Langchain, OpenAI, Anthropic, LLaMa is a plus.
● Strong problem-solving skills and ability to work in a fast-paced environment.
● Excellent communication and collaboration skills.
● 2–4 years of experience in backend development with Python or Golang.
● Solid understanding of RESTful APIs, microservices, and distributed systems.
● Strong knowledge of data structures, algorithms, and OOPS principles.
● Hands-on experience with relational and/or NoSQL databases.
● Familiarity with Linux development, Docker, and basic cloud concepts
(AWS/GCP/Azure).
● Proficiency with Git and version control workflows.
● Familiarity with AI-powered development tools or exposure to projects involving large
language models (LLMs) is a plus.
Proficient
Python Backend Development
Python, REST APIs, Microservices, FastAPI, Flask, Django, API Design, Authentication, Error Handling
Design, implement, and maintain scalable backend systems using Python frameworks. Build robust REST APIs, ensure secure authentication, and handle errors gracefully. Demonstrate expertise in microservices architecture and API design.
35
Proficient
React JS
React JS, Components, Hooks, State Management, API Integration, Responsive UI, Frontend Testing
Develop responsive and interactive user interfaces using React JS. Effectively use components, hooks, and state management. Integrate APIs and ensure frontend code is well-tested and maintainable.
30
Proficient
Gen AI / Agentic AI
LLMs, Agentic AI, LangChain, LangGraph, Google ADK, Semantic Kernel, Prompt Engineering, Tool Calling, RAG, Embeddings, Vector Search, Memory, Planning, Reasoning, Multi-Agent Systems, Guardrails, Azure OpenAI, Vertex AI, AWS Bedrock
Demonstrate hands-on experience with LLMs and agentic AI frameworks. Build, integrate, and optimize AI agents using modern tools and platforms. Show proficiency in prompt engineering, tool calling, RAG, embeddings, and multi-agent systems.
30
Advanced
Cloud & Deployment
AWS, Azure, GCP, Cloud Deployment, Containers, CI/CD, Application Hosting, Monitoring
Deploy applications to cloud platforms, manage containers, set up CI/CD pipelines, and monitor application health. Demonstrate familiarity with at least one major cloud provider.
● 4–7 years of backend development experience with Python or Golang.
● Strong expertise in designing, developing, and scaling microservices and distributed
systems.
● Solid understanding of concurrency, multi-threading, and performance optimization.
● Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached),
and messaging systems (Kafka, RabbitMQ, etc.).
● Hands-on experience with Linux development, Docker, and Kubernetes.
● Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
● Strong debugging, profiling, and optimization skills for production-grade systems.
● Experience with AI-powered development tools is a strong plus; familiarity with
concepts like 'agentic coding' for workflow automation or 'context engineering' for
leveraging LLMs in system design is highly desirable.
● Ability to lead technical initiatives and mentor junior engineers.
Job Overview
Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.
Key Responsibilities
- Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
- Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
- Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
- Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows
- Design AI-powered features such as recommendation systems, document processing, or conversational interfaces
- Ensure system reliability, security, and low-latency performance for mission-critical systems
- Lead technical design discussions, conduct code reviews, and mentor junior engineers
- Optimize database queries, implement caching strategies, and improve overall system performance
- Collaborate with cross-functional teams to deliver end-to-end product features
- Implement monitoring, logging, and observability solutions
Required Skills and Qualifications
- 2+ years of professional backend development experience
- Strong expertise in NodeJS and Python for production-grade applications
- Proven experience building RESTful APIs and microservices architectures
- Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)
- Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)
- Strong proficiency in PostgreSQL, including query optimization and schema design
- Hands-on experience with RabbitMQ and Kafka
- Experience with BigQuery or similar data warehousing solutions
- Solid understanding of distributed systems, scalability patterns, and high-traffic applications
- Strong knowledge of authentication, authorization, and security best practices
- Experience with Git, CI/CD pipelines, and modern development workflows
- Excellent problem-solving and debugging skills
- Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus
Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351
Responsibilities
● Architect and build end-to-end backend services and APIs.
● Integrate with external systems such as insurers, payment gateways, and other
partners.
● Ensure high observability, performance, and reliability across systems.
● Write clean, reusable, and maintainable code with a focus on scalability.
● Implement comprehensive test coverage and maintain code quality.
● Manage database design, migrations, scripting, and administration.
Experience & Skills
● 2-8 years of experience in backend development.
● Hands-on experience with low-level & high-level system design.
● Proven experience building scalable, secure backend systems (APIs, middleware, caching).
● Proficiency in Python, Django, Django REST Framework (DRF), PostgreSQL, Redis,
Celery, and basic HTML/CSS.
● Experience developing RESTful APIs.
● Familiarity with AWS or other major cloud platforms is a plus.
● Strong sense of ownership, problem-solving ability, and leadership qualities.

About the client
The client is building a suite of SaaS products for websites—products with clear product-market fit, strong customer pull, and the potential to become $100M+ businesses.
As they grow, they need engineers who go beyond feature delivery. They are looking for backend developers who want to build enduring systems, make practical decisions, and help us ship great products with high velocity.
What You’ll Do
- Work with product, design, and support teams to turn real customer problems into thoughtful, scalable solutions.
- Design and build robust backend systems, services, and APIs that prioritize long-term maintainability and performance.
- Use AI-assisted tooling (where appropriate) to explore solution trees, accelerate development, and reduce toil.
- Improve velocity across the team by building reusable tools, abstractions, and internal workflows—not just shipping isolated features.
- Dig into problems deeply—whether it's debugging a performance issue, streamlining a process, or questioning a product assumption.
- Document your decisions clearly and communicate trade-offs with both technical and non-technical stakeholders.
What Makes You a Strong Fit
- You’ve built and maintained real-world software systems, ideally at meaningful scale or complexity.
- You think in systems and second-order effects—not just in ticket-by-ticket outputs.
- You prefer well-reasoned defaults over overengineering.
- You take ownership—not just of code, but of the outcomes it enables.
- You work cleanly, write clear code, and make life easier for those who come after you.
- You’re curious about the why, not just the what—and you’re comfortable contributing to product discussions
Bonus if You Have Experience With
- Building tools or workflows that accelerate other developers.
- Working with AI coding tools and integrating them meaningfully into your workflow.
- Building for SaaS products, especially those with large user bases or self-serve motions.
- Working in small, fast-moving product teams with a high bar for ownership.
How’s the team?
- Open and flat hierarchy
- High-agency work with a get-stuff-done attitude
- Teams that focus on creating wins - for the org, the team and yourself - all fuelled by mentorship and empowerment
Our Culture
Some values we’ve lived by over these last 14 years:
We think like inventors.
>Invent the answer you wish existed. If it already exists, ask how it could exist better.<
We build for the love of it. And we build the best.
We don’t just copy and paste. We start from first principles—frame the problem, question the default, ship, improve, repeat—until it’s world-class.
Every version and experiment is a chance to push past our comfort zone and hone our craft. It isn’t easy—it takes patience and persistence—but it ends in work we’re proud of.
Ownership builds a rocket ship.
>It’s not the hours you put in your work that count; it’s the work you put in the hours.<
We’re here to build the business. When we see a problem, we own it end‑to‑end. We pull in the right people, ask for help early, track just enough to finish, and close the loop. We focus on what moves the needle, cut low‑impact work, and push hard when it counts—then recover.
That focus builds subject mastery. It helps get in the flow. It fuels passion and can spark healthy friction—and that’s all part of the game. We make a fuss when it matters, and once a call is made, we commit to it fully—whether we all agree or disagree.
Step up to stand tall.
>Greatness is a moving target.<
Chase excellence in your craft and take on bigger problems. Grow into a full-stack problem-solver and leader—whatever your domain. Improve with intent, work with people who push you, and never get too comfortable. That’s how we level up.
Benefits
- Relocation benefits - we’ll book your domestic travel if you are not in Bangalore and help you with 2 weeks of accommodation
- Homemade lunch at the office and a pantry with snacks, fresh coffee & tea
- All the IT essentials and tools you’ll need to be successful in your role, everyone at the office gets an external monitor, ergonomic seating and a mechanical keyboard
- Frequent outings, company-sponsored outdoor events, celebrations for milestones, trips for the entire team and sponsorships to participate at international company events at exotic destinations
- Profit-sharing bonuses based on company growth, tenure and performance
- Paid time off - maternity, paternity, and marriage leave
- Insurance for the whole family
Responsibilities:
- 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.
Requirements:
- 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.
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.

Experience and Expertise
● 7– 10 years of experience in backend development with Python or Golang.
● Solid understanding of RESTful APIs, microservices, and distributed systems.
● Strong knowledge of data structures, algorithms, and OOPS principles.
● Hands-on experience with relational and/or NoSQL databases.
● Familiarity with Linux development, Docker, and basic cloud concepts
(AWS/GCP/Azure).
● Proficiency with Git and version control workflows.
● Familiarity with AI-powered development tools or exposure to projects involving large
language models (LLMs) is a plus.
Skills
● Strong analytical and debugging skills with the ability to solve complex problems.
● Good communication and collaboration skills across teams.
● Ability to work independently with minimal supervision while being a strong team
player.
● Growth mindset – eagerness to learn new technologies










