Senior Python Developer

Job Title: Python Backend Engineer (Full-time)

Location: Gurgaon, Onsite

Working Days: 5 days

Experience Required: 4+ Years

Interview: Screening and Face-to-face Interview

Job Summary

We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.

Responsibilities

• Build and maintain scalable backend systems using Python, FastAPI, or Django
• Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
• Develop APIs for ML/LLM inference and support RAG pipelines
• Implement model versioning, CI/CD, and monitoring for production use
• Collaborate with AI teams to integrate models into applications

Skills Required

• Strong Python backend development (FastAPI/Django)
• Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
• MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
• LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
• Integration experience with OpenAI, Hugging Face, or other LLM APIs
• Familiarity with CI/CD tools (GitHub Actions, Jenkins)

We are building cutting-edge AI products in the Construction Tech space – transforming how General Contractors, Estimators, and Project Managers manage bids, RFIs, and scope gaps. Our platform integrates AI Agents, voice automation, and vision systems to reduce hours of manual work and unlock new efficiencies for construction teams.

Joining us means you will be part of a lean, high-impact team working on production-ready AI workflows that touch real projects in the field.

Role Overview

We are seeking a part-time consultant (10–15 hours/week) with strong Backend development skills in Python (backend APIs) and ReactJS (frontend UI). You will work closely with the founding team to design, develop, and deploy features across the stack, directly contributing to AI-driven modules like:

Key Responsibilities

• Build and maintain modular Python APIs (FastAPI/Flask) with clean architecture.
• You must have at least 24 hours monthly backend Python expertise (excluding training, any Internships)
• We are ONLY looking for Backend Developers, Python-based Data Science, Analyst Role are not a match.
• Integrate AI services (OpenAI, LangChain, OCR/vision libraries) into production flows.
• Work with AWS services (Lambda, S3, RDS/Postgres, CloudWatch) for deployment.
• Collaborate with founders to convert fuzzy product ideas into technical deliverables.
• Ensure production readiness: logging, CI/CD pipelines, error handling, and test coverage.

Part-Time Eligibility Check -

• This is a fixed monthly paid role - NOT hourly
• We are a funded startup, and by compliance, Payments are generally prorated to your current monthly drawings (No negotiations on it)
• You should have 2-3 hours per day to code
• You should be a pro in AI-based Coding. We ship code really fast.
• You need to know Tools Like ChatGPT to generate solutions (Not Code) - use of the Cursor to build those solutions. Job ID 319083
• You will be assigned an independent task every week - we run 2 weeks of sprints
• I read the requirements, and I'm okay to proceed (Removing Spam applications).

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.

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.

SA Role Summary:

The Solutions Architect is responsible for designing and leading the implementation of technology solutions that align with the organization's business goals and technology standards. This role involves working closely with both technical teams and business stakeholders to translate business requirements into robust, scalable, and secure technology solutions.

Key Responsibilities:

Solution Design and Architecture:

●      Develop and maintain a comprehensive understanding of the business processes and technology landscape.

●      Design holistic technology solutions that address business challenges and opportunities, integrating with existing systems and technologies where necessary.

●      Define and document architectural designs, including system components, functionalities, interfaces, and data flows.

●      Taking into account all pillars of the Well-Architected Framework (WAF) on AWS - including Scalability, Resiliency

●      Identifying reusable components in a project and working with the Backend team to generalize those components.

●      Amazon Web Services (AWS) Certification (Preferred)

Technical Leadership and Guidance:

●      Provide technical leadership and guidance to development teams throughout the implementation phase, ensuring adherence to architectural principles and best practices.

●      Evaluate and recommend technologies and tools for the effective development and management of solutions.

●      Ensure the implemented solution is in compliance with the designed architecture. Deviation from the architecture must be evaluated and agreed upon.

Stakeholder Engagement and Communication:

●      Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.

●      Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

●      Act as a liaison between technical teams and business units, facilitating understanding and alignment on project objectives and deliverables.

Project and Risk Management:

●      Participate in project planning activities, including resource allocation, timeline estimation, and risk assessment.

●      Identify potential technical and project risks and develop mitigation strategies.

Quality Assurance and Best Practices:

●      Ensure solutions are designed and implemented to high-quality standards, including performance, security, and scalability considerations.

●      Advocate for and ensure adherence to software development best practices, including code reviews, continuous integration, and automated testing.

Continuous Learning and Improvement:

●      Stay abreast of emerging technologies and industry trends, evaluating their applicability to organizational needs.

●      Promote a culture of continuous improvement, encouraging innovation and efficiency improvements in technology practices.

About TensorIoT

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

• Defining new merchandising or reporting functionality
• Adding more advanced search capabilities
• Improving scoring/recommendation models
• eCommerce platform integrations/API implementations
• Load testing/scaling features as we continuously grow
• Something new. There are always interesting new challenges that come our way. Here are a couple of things we’ve worked on recently:
  • Managing background jobs with competing performance goals like quick turnaround while staying within platform API limits
  • Embedding and dynamically changing products in an email even after sending it
  • Managing and coordinating multi data-center processes

• 1-3 years of experience in Ruby On Rails (or a similar MVC framework like Express or Django). You are comfortable with Routes, Migrations, Models, Callbacks, Validations, and so on.
• Ability to design clean, scalable data structures for new features.
• A good understanding of design patterns so that complex processes are written in a maintainable way.
• Knowledge of managing source code with Git.
• Comfortable in a Linux OS.
• Good communication skills, and ability to clearly plan and describe features before building.

• Challenging, exciting work, at scale
  You get to understand the challenges our customers face first-hand, and collaboratively design and build amazing solutions that will be used by millions of shoppers through billions of API requests. There’s always something new and exciting to build.
• Have a direct impact
  Seven engineers currently build, refine, and scale the entire product. Working in a small team means you will have a say in the way the product is built, and your performance will have a direct impact on the company’s outcome.
• Culture
  Tagalys is a place for you to be yourself, enjoy your work, and achieve your potential. We love the energy that comes from working with smart people in a simple and welcoming environment. We design our workflow to make sure you are also able to focus on everything else in life that is important: family, friends, and health.
• Benefits
  You get great pay, coupled with flexible hours, a hybrid work model, and comprehensive insurance for your and your dependents. For the people contributing significantly, we also offer ESOPs so there is an opportunity to build wealth as you help the company grow.

• Experience with Django/Flask Framworks
• Worked on web app and mobile app
• Understanding of DevOps tools - Jekins/Kubernetes/Azure/AWS/Docker will be a plus

About NetElixir: 

NetElixir is a global digital marketing firm headquartered in Princeton, NJ. With a common goal of helping our customers and challenging ourselves to think differently, we face challenges and tackle them together as a team. We are a close-knit group of imaginative and friendly industry experts who bring our unique passions and personalities together to find creative solutions that drive results.

With offices in the US and India, NetElixir works persistently gathering, evaluating, computing, and formulating raw data and turning it into actionable insights for our customers. We work consistently to develop new technology that will improve and facilitate digital marketing efforts across the globe.

Role: Python Developer

Experience: 3 -5 Years

Company Website: http://www.netelixir.com/">www.netelixir.com 

Job Description:

Your responsibilities will include understanding the needs, gathering and prioritizing requirements, and working with our software development teams to design, develop and deliver new features.

• 3-5 years of experience in building web applications and product development using Python
  ● Experience in Python Backend development, microservice API development using Flask and/or Django
  ● Experience in SQL and No SQL databases
  ● Experience in AWS cloud services
  ● Working knowledge in Unit testing with pytest, Git (versioning, branching, etc..), CI-CD
  ● Collaboration with technical teams and product stakeholders to ensure design and
  implementation is aligned with business requirements
  ● Perform design and code reviews to ensure products meet our quality standards
  ● Assist in the education and development of junior team members to ensure progression and
  improvement.
  ● Good hands-on experience in debugging application issues
  ● Work experience in developing and deploying AI/ML models (additional advantage)
  ● Exposure to Digital Marketing Domain (additional advantage)