Lead engineer/Principal engineer

Designation: Python Developer

Experienced in AI/ML

Location: Turbhe, Navi Mumbai

CTC: 6-12 LPA

Years of Experience: 2-5 years

At Arcitech.ai, we’re redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond. We’re looking for a Python Developer passionate about AI/ML, who’s ready to work on scalable, cloud-native platforms and help build the next generation of intelligent, LLM-driven products.

💼 Your Responsibilities

AI/ML Engineering

• Develop, train, and optimize ML models using PyTorch/TensorFlow/Keras.
• Build end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines using LangChain.
• Collaborate with data scientists to convert prototypes into production-grade AI applications.
• Integrate NLP, Computer Vision, and Recommendation Systems into scalable products.
• Work with transformer-based architectures (BERT, GPT, LLaMA, etc.) for real-world AI use cases.

Backend & Systems Development

• Design, develop, and maintain robust Python microservices with REST/GraphQL APIs.
• Implement real-time communication with Django Channels/WebSockets.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure and manage AWS (EC2, S3, RDS, SageMaker, CloudWatch) for AI/ML workloads.

Reliability & Automation

• Develop background task queues with Celery, ensuring smart retries and monitoring.
• Implement CI/CD pipelines for automated model training, testing, and deployment.
• Write automated unit & integration tests (pytest/unittest) with ≥80% coverage.

Collaboration

• Contribute to MLOps best practices and mentor peers in LangChain/AI integration.
• Participate in tech talks, code reviews, and AI learning sessions within the team.

🎓 Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• 2–5 years of experience in Python development with strong AI/ML exposure.
• Hands-on experience with LangChain for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience deploying ML models and LLM apps into production systems.
• Familiarity with REST/GraphQL APIs and cloud platforms (AWS/Azure/GCP).
• Skilled in Git workflows, automated testing, and CI/CD practices.

🌟 Nice to Have

• Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Knowledge of LLM fine-tuning, prompt engineering, and evaluation frameworks.
• Familiarity with Airflow/Prefect/Dagster for data and model pipelines.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain open-source projects.
• Experience with model monitoring and drift detection in production.

🎁 Why Join Us

• Competitive compensation and benefits 💰
• Work on cutting-edge LLM and AI/ML applications 🤖
• A collaborative, innovation-driven work culture 📚
• Opportunities to grow into AI/ML leadership roles 🚀

• 4+ years exp with solid backend/engineering experience.
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang, it's design, and concurrency patterns.

Job Responsibilities:

Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture.

• Provide software development plans that meet future needs of clients and markets
• Evolve the new software platform and architecture by introducing new components and integrating them with existing ones
• Perform memory, cpu and resource management
• Analyze stack traces, memory profiles and production incident reports from traders and support teams
• Propose fixes, and enhancements to existing trading systems
• Adhere to release and sprint planning with the Quality Assurance Group and Project Management
• Work on a team building new solutions based on requirements and features
• Attend and participate in daily scrum meetings

Required Skills:

•  JavaScript and Python
• Multi-threaded browser and server applications
• Amazon Web Services (AWS)
• REST

• Work closely with design, product management, and front-end teams to create REST APIs using NestJS
• Write reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Work on the implementation of security and data protection
• Review and optimize the app usage by monitoring key metrics and rectifying the issues proactively

• 1+ years of experience in NodeJS-based frameworks like NestJS, and microservices-based architecture is a bonus.
• Understanding of OOPS concepts, persistence, threading, queuing, and caching.
• Thorough knowledge of designing, implementing and scaling relational and document-based databases
• A love for systems and an ability to think through and plan for their life cycles, edge cases, interactions, and failure modes
• First principles thinking, Excellent problem-solving ability
• A good all-rounder with a can-do, startup mentality

• Experience with ReactJS
• Cloud deployment and scaling experience

• Experience in Web and Mobile Applications
• Agility and ability to adapt quickly to changing requirements and scope and priorities
• Experience in Java, Python.
• Deep understanding of data structures and microservices.
• Knowledge of Node.js
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Familiarity with front-end technologies
• User authentication and authorization between multiple systems, servers, and environments
• Interaction with multiple data sources
• Good understanding of SQL
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git .

 Roles & Responsibilities -

• Build and maintain infrastructure for data retrieval, processing and storage
• Build strong working relationships with international teams
• Be willing and able to adapt to changes in priorities
• Ability to learn and apply new technologies to deliver added business value
• Maintain a strong focus on quality

• Proficient in Python / SQL
• Good understanding of data base management systems
• Experience developing and maintaining systems that handle large amounts of data
• Understanding of Electronic Trading Systems
• Attention to detail and code quality
• Excellent problem solving and analytical skills in a high-pressure environment
• Strong communication skills and an ability to convey ideas and concepts with clarity