Python Developer

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What You Will Do:

• Develop and optimize high-performance backend systems in Golang for trading platforms and financial

services.

• Architect low-latency, high-throughput microservices that push the boundaries of speed and efficiency.

• Build event-driven, fault-tolerant systems that can handle massive real-time data streams.

• Own your work—no babysitting, no micromanagement.

• Work alongside equally driven engineers who expect nothing less than brilliance.

• Learn faster than you ever thought possible.

Must-Have Skills:

• Proven expertise in Golang (if you need to prove yourself, this isn’t the role for you).

• Deep understanding of concurrency, memory management, and system design.

• Experience with Trading, market data processing, or low-latency systems.

• Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time processing.

• Hands-on with Docker, Kubernetes, and CI/CD pipelines.

• A portfolio of work that speaks louder than a resume.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Contributions to open-source Golang projects.

• A history of building something impactful from scratch.

• Understanding of FIX protocol, WebSockets, and streaming APIs.

Strong Software Engineering Profile

Mandatory (Experience 1): Must have 7+ years of experience using Python to design software solutions.

Mandatory (Skills 1): Strong working experience with Python (with Django framework experience) and Microservices architecture is a must.

Mandatory (Skills 2): Must have experience with event-driven architectures using Kafka

Mandatory (Skills 3): Must have Experience in DevOps practices and container orchestration using Kubernetes, along with cloud platforms like AWS, GCP, or Azure

Mandatory (Company): Product companies, Experience working in fintech, banking, or product companies is a plus.

Mandatory (Education): From IIT (Candidate should have done bachelor degree Btech or Dual degree Btech+Mtech or Intergrated Msc), From other premium institutes NIT, MNNIT, VITS, BITS (Candidates should have done B.E/B.Tech)

Preferred

Preferred (Skills 1): Experience in Task Queues like Celery and RabbitMQ is preferred.

Preferred (Skills 2): Experience with RDBMS/SQL is also preferrable.

Preferred (Education): Computer science

Looking to hire a single backend engineer who will become a part of the core team, with the track to become a part of the leadership at our company.

Candidate should have worked in startups, possess strong programming skills in Python, displays a sense of ownership and is highly energetic and eager to learn state-of-the-art tech and ML.

A minimum of 2 years of relevant experience is preferred.

2022 or later year pass outs - please apply only if you have relevant full-time and at least 2 prior internships experience

Representative (not exhaustive) responsibilities:

• Assess the current design and infrastructure of the backend server, and continuously implement enhancements to make the systems more robust, reliable and responsive
• Design, implement, test, and deploy APIs with Python on Linux servers
• Enhance back-end functionality and integrate with the front end to deliver a fully functional product
• Implement and set up automated tests to periodically test backend infrastructure for reliability, security and performance
• Design new data pipelines to enable the production deployment of new models
• Mentor junior employees and interns in the company
• Additionally, interest and ability to contribute to the continuous enhancement of our state-of-the-art NLP model pipeline and Inferencing engine is a big plus
• Be ready to roll up your sleeves and participate in customer calls, understand our ICP well, do research around product features, etc.

Fast Track Your Application

Think about the ICP for ContractKen. Sign up for a trial plan, experience the product and provide feedback on how to improve the current experience of the product to add immediate value to the ICP. We don't need you to fully code any feature in its entirety and are not looking for free work. The idea is to identify folks who get** what we are trying to do with ContractKen and find faster alignment with the right candidate.

Do not apply if

You're looking for your first, real-world model building, ML/AI role. We believe that deploying existing models (open source and proprietary) in production and delivering real business value to our customers is 10x more important than hyperparameter tuning or the latest algorithm implementation. While we'd love to entertain experienced ML data scientists, the emphasis on MLOps is as much as it is on experimentation.