Python Developer

Job Title : Senior Python Backend Developer

Experience Required : 5+ Years

Location : Gurgaon

Joining : Immediate Joiner Preferred

Employment Type : Full-Time

Job Summary :

We are looking for a highly skilled Senior Python Backend Developer with a minimum of 5 years of experience in Python and its modern web frameworks.

The ideal candidate will be responsible for developing scalable backend services, designing robust APIs, and ensuring optimal performance and security of backend systems.

Mandatory Skills : Python, Django, Flask, Streamlit, Starlette, REST API development, scalable backend services.

Key Responsibilities :

• Design, build, and maintain RESTful APIs and backend systems using Python.
• Work with frameworks such as Django, Flask, Streamlit, Starlette.
• Develop scalable and high-performance backend services.
• Collaborate with frontend developers and product teams to deliver seamless integrations.
• Write clean, maintainable, and testable code.
• Troubleshoot and resolve performance and scalability issues.
• Ensure code quality through automated testing and code reviews.

Required Skills :

• Minimum 5 years of backend development experience in Python.
• Strong expertise in Django, Flask, Streamlit, and/or Starlette.
• Proven experience with API design and development.
• Strong understanding of system architecture, data modeling, and scalability best practices.
• Familiarity with CI/CD pipelines, Docker, and cloud environments is a plus.

Nice to Have :

• Experience with async programming (e.g., using FastAPI, Starlette).
• Familiarity with PostgreSQL, MongoDB, or other relational/noSQL databases.
• Exposure to microservices architecture.

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

We're seeking passionate, next-gen minded engineers who are excited about solving complex technical challenges and building innovative, first-of-its-kind products which make a tangible difference for our customers. As a Backend SDE-1, you will play a key role in driving strategic initiatives, collaborating with cross-functional teams across business, product, and operations to solve exciting problems. This role demands strong technical acumen, leadership capabilities, and a mindset focused on innovation and operational excellence.

We value individuals who think independently, challenge the status quo, and bring creativity and curiosity to the table—not those who simply follow instructions. If you're passionate about solving problems and making an impact, we'd love to hear from you.

Key Responsibilities

• Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Understand broader organization goals and constantly prioritise your own work.
• Technical Excellence: Understand the onground problems, explore and design various possible solutions to conclude and implement scalable, extensible and secure software systems. Implement and learn best practices in technical architecture, coding standards, and software testing to ensure product delivery with highest speed AND quality.
• Project and Program Management: Setting up aggressive as well as realistic timelines with all the stakeholders, ensure the successful delivery of engineering projects as per the defined timelines with best quality standards ensuring budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
• Cross-functional collaboration: Collaborate with Product Managers, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
• Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 1+ years of experience in software engineering
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
• Strong understanding of software design principles and patterns.
• Hands on with multiple programming languages and modern development frameworks.
• Understanding of relational and non-relational databases.
• Experience with Redis, ElasticSearch.
• Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.

Skills:- MySQL, Python, Django, AWS, NoSQL, Kafka, Redis, ElasticSearch

Role

You will develop and maintain the key backend code and infrastructure of the company stack. You will implement AI solutions like LLMs for various tasks such as voice-based interactive systems, chatbots, and AI web apps. Ability to see projects through from start to finish with good organizational skills and attention to detail. This is a perfect role for someone who likes to build state-of-the-art AI products and work with cutting-edge AI technologies like GPT, LLAMA, etc

Qualifications 

• BS or MS in Computer Science or relevant field.
• 4+ years experience in backend software development
• Be able to design high-throughput scalable backend systems
• Eagerness to learn applied AI technologies like LLMs, prompt engineering, etc
• Proficiency in Python.
• Experience with cloud computing platforms (AWS, GCP) and technologies like Docker
• Knowledge of Rest APIs, databases (mysql, mongo, vectorDB)

Job Description for Senior Python Developer 

Experience: 4 to 7 years

• Must have strong knowledge in Python 2/Python 3
• Must have a strong knowledge of Web development using the Django web framework and API development experience using Django REST API.
• Flask framework or any other framework’s knowledge is great.
• Ability to write reusable, testable, and efficient code
• Team Handling exposure
• Knowledge of Standard databases like MySql, PostgreSQL and NoSQL databases like MongoDB, Firebase, etc. Able to create database schemas that represent and support business processes.
• Understanding of fundamental design principles behind a scalable application
• Must be good at understanding client requirements.
• Good testing/debugging skills using standard python modules/IDEs
• Deployment experience with standard servers like Apache/AWS etc.
• Experience in testing frameworks known in the industry.
• Having good/basic knowledge of Front end Technologies HTML, CSS, Bootstrap, JavaScript is good.
• Proficient understanding of code versioning tools - GIT

The candidate must have experience in coding part and team handling experience both