Senior .NET Software Development Engineer

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

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:

Developed in formal collaboration with the University of Cambridge in May 2000, HeyMath! is an Ed-Tech company whose mission is to Raise the Game in Maths for school systems around the world. We do this using technology to deliver engaging teaching methodologies and personalised learning paths for students. HeyMath! has been successfully adopted by CBSE schools since 2004, with positive outcomes for the entire ecosystem.

Check us out at www.heymath.com

We plan to work mainly from home in 2022 and the virtual office atmosphere is collegiate, informal and friendly, with small high-impact teams making a difference to customers.

What we are looking for:

Experience in building and re-engineering cloud based solutions on AWS.

Strong knowledge of Object Oriented Programming(OOPS) and design patterns is a must. Hands-on development on Spring MVC framework.

Experience working on Java 8 or above.

Must have very good knowledge of RDBMS such as MySQL and performance tuning of the same.

Exposure to server-side and client-side caching mechanisms. Ability to debug the applications and provide instant workable solutions.

Experience working on Elastic Search / Kafka / Kubernetes or all is a nice to have.

Backend Developer

Qualification: B.Tech./MCA, BCA in Computer Science or equivalent

Experience:     3 - 6 Years

Skills Required:

• Must Have: Java, Spring/ springboot
• Any 2 (Must) out of the below mentioned list :

1. JPA/Hibernate
2. Messaging queue/Kafka/SQS/distributed message/SNS/JMS
3. NOSQL/ Aerospike/ Reddis /Cassendra
4. Microservices

Roles and Responsibilities:

• Technical design, implementation, deployment, and support.
• Partner with Business Analysts to review and implement business

requirements.

• Perform development and unit testing, working closely with Business.
• Mentors and oversees development of resources, including reviewing designs and performing code reviews.
• Ensure designs are in compliance with specifications
• Contribute in all phases of the development lifecycle
• Developing high - volume, low - latency applications for mission - critical systems and delivering high - availability and performance
• Should have experience of working on Core Java/J2EE & OOPS concept
• Should be well versed with Spring/Struts & Apache Came l (OSGI Framework)
• Should have a good understanding of Hibernate and Other ORMs
• Should have an understanding of working on Web Service (SOAP/REST) and Maven
• Build tool such as Jenkins
• Caching Technique(Radis, Hazlecast, Aerospike)
• Database Knowledge- Oracle, MySQL