Python Developer

Azure Chatbot Developer

Location :Bangalore / Mumbai / Pune

Job Description

Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle

f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.

g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET

i) Knowledge of Python and NodeJS is a plus

j) Ability to design and optimize SQL Server 2008 stored procedures.

k) Experience with JQuery, CSS3, HTML5 or similar technologies.

l) Ability to adapt quickly to an existing, complex environment.

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

1. Relevant Experience required 3 to 5 years.
2. Strong proficiency in python programming language along with expertise in backend development framework such as
3. Django or Flask. (DSA and Design patterns are mandatory).
4. Hand on Experience in REST API development and database such as PostgreSQL.
5. Good knowledge of versions control systems like GIT, Bitbucket
6. Implementation testing strategies such as unit testing (PyTest), integration testing and end to end testing 
7. Basic knowledge of Docker/Podman and Jenkins.
8. Good have if they basic knowledge in Mainframe tech such JCL, and TWs.

This is a fully remote opportunity

About Us:

We at Ascendeum provide Data and AdTech strategy consultation to businesses worldwide. We started our journey with private funding and has been operating profitably since 2015. We are a lean team of 50+ highly productive and smart people spread across various parts of India who have been consistently delivering intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns.

Job Details:

We are looking for an analytical, results-driven Back-end Engineer who holds a passion to troubleshoot and improve current back-end applications and processes. The Back- end Developer will use his or her understanding of programming languages and tools to analyze current codes and industry developments, formulate more efficient processes, solve problems, and create a more seamless experience for users.

Job Responsibilities:

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement.
• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
• Developing ideas for new programs, products, or features by monitoring industry developments and trends.
• Recording data and reporting it to proper parties, such as clients or leadership.
• Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team
• members.
• Taking lead on projects, as needed.

Desired Skills and Experience:

• Bachelor’s degree in computer programming, computer science, or a related field.
• Solid experience specializing in developing and managing back-end systems for enterprise-grade applications.
• Strong command on Python and databases such as MySQL.
• Strong understanding of the web development cycle and programming
• techniques and tools.
• Focus on efficiency, user experience, and process improvement.
• Excellent project and time management skills.
• Strong problem solving and verbal and written communication skills.
• Ability to work independently or with a group.

Job Title: PHP Laravel Developer

Department: Research and Development

Experience: 1-3 years

Job Type: Full time/Permanent

Location: Mohali, phase 7, Industrial Area

Reports to: Technical Lead

Role Description

We are looking for a PHP Laravel Developer with Efficient, organized, and able to manage multiple projects at once. Assist team members & colleagues to solve technical issues. Developing and executing appropriate quality plans, project plans, test strategies, and processes for development activities.

You will be part of a talented software team that works on mission-critical applications, and your roles and responsibilities include managing application development while providing expertise in the full software development lifecycle.

Job Responsibilities

⦁ Knowledge of PHP web frameworks including Laravel

⦁ Knowledge of front-end technologies including CSS3, JavaScript, and HTML5.

⦁ Strong Knowledge of MySQL.

⦁ Understanding of object-oriented PHP programming.

⦁ Working knowledge of ReactJS/NodeJS (preferred)

⦁ Excellent knowledge of Vue.js

⦁ Proficient in creating REST APIs.

⦁ Ability to project manage.

⦁ Good problem-solving skills.

⦁ Ability to work with cross-functional teams.

⦁ Good at research and working under pressure.

Benefits:

⦁ Day shift

⦁ 5 day a week

⦁ Performance bonus

About KAFQA

At Kafqa, we are building the next generation performing arts platform. Our mission is to transform how India learns, performs & watches performing arts. Our launch services consist of technology-enabled dance classes in our proprietary studios, production facilities, and social media broadcasting & competitions.

Founder & Team

The founder is Shariq Plasticwala. He is a graduate of IIT Bombay & Stanford GSB. He was part of the founding team of Amazon India where he played a key role for over 8 years. Among his roles at Amazon, he was the CEO of Amazon’s first joint venture in India and a Board Member of Amazon’s payments business. The other members of the founding team consisted of senior executives from Shiamak Davar & Byju’s.

Background

•   At least 6+ years experience in back-end development in a fast-paced environment, working in Python & Django Framework
• Should Have experience leading a team.
•   Deep understanding of technologies used in web products, including Rest APIs
•   Sound understanding of SQL/NoSQL databases such as PostgreSQL and MongoDB.
•   Deep familiarity with UNIX, major cloud platforms (AWS, Azure), DevOps.
•   Understanding of databases, and related tools, paradigms.

Opportunity

Here are some of the things you might have to do on any given day:

•   Developing APIs and endpoints for deployments of our product.
•   Infrastructure Development such as building databases, creating and maintaining automated jobs.
•   Build out the back-end to deploy and scale our product.

• Strong programming skills in Javascript/TypeScript, Python or Go.
• Hands-on experience in API development and frameworks such Express, Loopback, Hapi.
• Good Understanding of SQL and NoSQL database.
• Experience in test driven development. (writing unit test and API test).
• Understanding of basic cloud computing concepts and experience in using any of the major cloud service providers(AWS/GCP/Azure).
• Ability to build and deploy the application in a containerized environment.
• Understanding of application logging and monitoring systems like Prometheus or Kibana.

Qualification: 

• B.E/B.Tech/M.E./M.Tech/M.S. from a reputed university with a good academic record.
• Curiosity to explore the cutting edge technologies and bake them in the products.
• Zeal and drive to take end to end ownership.

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics