Sr Python Developer

We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and

a deep interest in scalable, low-latency systems.

Key Responsibilities

• Develop, maintain, and optimize backend applications using Python.

• Build and integrate RESTful APIs and microservices.

• Work with relational and NoSQL databases for data storage, retrieval, and optimization.

• Write clean, efficient, and reusable code while following best practices.

• Collaborate with cross-functional teams (frontend, QA, DevOps) to deliver high quality features.

• Participate in code reviews to maintain high coding standards.

• Troubleshoot, debug, and upgrade existing applications.

• Ensure application security, performance, and scalability.

Required Skills & Qualifications:

• 2–4 years of hands-on experience in Python development.

• Strong command over Python frameworks such as Django, Flask, or FastAPI.

• Solid understanding of Object-Oriented Programming (OOP) principles.

• Experience working with databases such as PostgreSQL, MySQL, or MongoDB.

• Proficiency in writing and consuming REST APIs.

• Familiarity with Git and version control workflows.

• Experience with unit testing and frameworks like PyTest or Unittest.

• Knowledge of containerization (Docker) is a plus.

Company: Grey Chain AI

Location: Remote

Experience: 7+ Years

Employment Type: Full Time

About the Role

We are looking for a Senior Python AI Engineer who will lead the design, development, and delivery of production-grade GenAI and agentic AI solutions for global clients. This role requires a strong Python engineering background, experience working with foreign enterprise clients, and the ability to own delivery, guide teams, and build scalable AI systems.

You will work closely with product, engineering, and client stakeholders to deliver high-impact AI-driven platforms, intelligent agents, and LLM-powered systems.

Key Responsibilities

• Lead the design and development of Python-based AI systems, APIs, and microservices.
• Architect and build GenAI and agentic AI workflows using modern LLM frameworks.
• Own end-to-end delivery of AI projects for international clients, from requirement gathering to production deployment.
• Design and implement LLM pipelines, prompt workflows, and agent orchestration systems.
• Ensure reliability, scalability, and security of AI solutions in production.
• Mentor junior engineers and provide technical leadership to the team.
• Work closely with clients to understand business needs and translate them into robust AI solutions.
• Drive adoption of latest GenAI trends, tools, and best practices across projects.
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Must-Have Technical Skills

• 7+ years of hands-on experience in Python development, building scalable backend systems.
• Strong experience with Python frameworks and libraries (FastAPI, Flask, Pydantic, SQLAlchemy, etc.).
• Solid experience working with LLMs and GenAI systems (OpenAI, Claude, Gemini, open-source models).
• Good experience with agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Experience designing multi-agent workflows, tool calling, and prompt pipelines.
• Strong understanding of REST APIs, microservices, and cloud-native architectures.
• Experience deploying AI solutions on AWS, Azure, or GCP.
• Knowledge of MLOps / LLMOps, model monitoring, evaluation, and logging.
• Proficiency with Git, CI/CD, and production deployment pipelines.

Leadership & Client-Facing Experience

• Proven experience leading engineering teams or acting as a technical lead.
• Strong experience working directly with foreign or enterprise clients.
• Ability to gather requirements, propose solutions, and own delivery outcomes.
• Comfortable presenting technical concepts to non-technical stakeholders.

What We Look For

• Excellent communication, comprehension, and presentation skills.
• High level of ownership, accountability, and reliability.
• Self-driven professional who can operate independently in a remote setup.
• Strong problem-solving mindset and attention to detail.
• Passion for GenAI, agentic systems, and emerging AI trends.

Why Grey Chain AI

Grey Chain AI is a Generative AI-as-a-Service and Digital Transformation company trusted by global brands such as UNICEF, BOSE, KFINTECH, WHO, and Fortune 500 companies. We build real-world, production-ready AI systems that drive business impact across industries like BFSI, Non-profits, Retail, and Consulting.

Here, you won’t just experiment with AI — you will build, deploy, and scale it for the real world.

As a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.

1. What You’ll Do :

• Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
• Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks). 
• Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
• Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
• Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
• Dev Environments: Set up and manage developer and staging environments across teams.
• Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
• Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.

Must-Haves :

• 5+ years of experience in backend development and cloud infrastructure.
• Strong expertise in Node.js (TypeScript) and/or Python.
• Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
• Deep understanding of cloud platforms, preferably GCP and Firebase.
• Hands-on experience with CI/CD, DevOps tools, and automation.
• Solid knowledge of distributed systems and performance tuning.
• Experience setting up and managing development & staging environments. 

• Proficiency in English and remote communication.

Good to have :

• Event-driven architecture experience (e.g., Pub/Sub, MQTT).
• Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
• Previous work on large-scale SaaS products.
• Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
• Experience with edge computing on Nvidia Jetson devices.

What We Offer :

• Competitive salary for the Indian market (depending on experience).
• Remote-first culture with async-friendly communication.
• Autonomy and responsibility from day one.
• A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
• A mission-driven company tackling real-world environmental challenges. 

Exp: 7- 10 Years

CTC: up to 35 LPA

Skills:

• 6–10 years DevOps / SRE / Cloud Infrastructure experience
• Expert-level Kubernetes (networking, security, scaling, controllers)
• Terraform Infrastructure-as-Code mastery
• Hands-on Kafka production experience
• AWS cloud architecture and networking expertise
• Strong scripting in Python, Go, or Bash
• GitOps and CI/CD tooling experience

Key Responsibilities:

• Design highly available, secure cloud infrastructure supporting distributed microservices at scale
• Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
• Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
• Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
• Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
• Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
• Ensure production-ready disaster recovery and business continuity testing

If interested Kindly share your updated resume at 82008 31681

• End-to-end ownership of new feature development, from design, through implementation, testing, deployment, and maintenance in production
• Translating of high-level requirements and end-user use cases into design proposals, including integration with external services and constraints of underlying service infrastructure
• Maintaining constant focus on scalability, performance and robustness of a feature, on the top of base functional implementation
• Designing and implementing logging, monitoring and alerting functions as core parts of overall software solution
• Documenting your own work and design solutions
• Decomposing complex features into smaller, short-term deliverable tasks
• Managing priorities of multiple tasks, providing up-to-date estimates for a milestone delivery

• 5+ of industry experience in technical leadership roles
• Solid knowledge of Go-Lang, Python, C/C++, SQL, shell scripting and Linux operating environment.
• End-to-end experience in design and development of highly scalable enterprise and cloud data products.
• Ability to challenge and redefine existing architectural fundamentals in order to provide next level of performance and scalability; ability to foresee post-deployment challenges.
• Hands-on experience with design and troubleshooting of scalable web services, advanced file systems, geographic replication, distributed databases and modern operating systems.
• Experience with modern DevOps technologies such as Docker and container orchestration, service deployment, monitoring and scaling
• Ability to work with multi-cultural, globally distributed teams to a common unifying product vision and closely coordinate with cross-functional teams in different time-zones.
• Passion to deliver enterprise-grade products to customers and to continuously work with engineering team to refine the product in the field.

Responsibilities:

• Writing reusable, testable, and efficient code in Python.
• Designing and implementing software features and capabilities.
• Identifying and addressing performance bottlenecks and bugs in existing code.
• Collaborating with other developers, stakeholders, and users to define, design, and ship new features.
• Building and maintaining software documentation.
• Ensuring code is maintainable and maintain appropriate versioning practices.
• Continuously discovering, evaluating, and implementing new technologies to maximize development efficiency.

Requirements:

• 
  
• Bachelor's degree in Computer Science or related field.
• Minimum of 3 years of experience in Python development.
• Strong knowledge of Python programming language and related frameworks (such as Django, Flask etc.)
• libraries is important.
• Knowledge of software development methodologies, version control systems and experience with system administration.
• Database management and good understanding of software design principles is desired.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork skills.

This is a remote position.

• Design and build strong, resilient, and robust APIs, libraries, and tools to power customers, engineers, and operations
• Own functionality and scalability features by taking responsibility from inception to post-deployment.
• Be responsible for full software development life-cycle - design, development, testing, operating in production
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
• Serve as technical lead, contributing to and directing the execution of complex projects with other engineers
• Mentor software engineers and set the standard for the next generation of Finly engineers
• Proactively identify and prioritize improvements to the team's processes, codebases and best practices

• 3 to 6 years' experience creating libraries and designing scale-able backend systems
• Experience working with SQL or NoSQL databases
• Familiarity with software engineering development cycles
• Experience working with backend programming languages (Ruby, Python)
• Ability to hold yourself and the team to high standards
• Strong communication (written and verbal) and interpersonal skills
• Ability to provide in-depth evaluation of multiple technical directions and determine trade-offs of each
• Strong propensity to make data-driven decisions on technical architecture and project prioritization

• Experience collaborating with experts in product, design, and operations.
• Experience driving initiatives at a broader level across an organization or company
• Strong writing skills
• Proactive approach