Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Description
Candidate must have strong foundation in Python programming, experience with AI/ML frameworks. Candidate can collaborate with data scientists, ML engineers, and product teams to design, Integrate AI/ML models to build agentic AI platforms. Candidate must be able to write clean, maintainable, and well-documented code.
Must Have Non Negotiable -
Experience with AI agent orchestration platforms
Understanding of LangChain, LangGraph, and multi-agent systems
Understanding of prompt engineering and AI safety principles
Expert-level proficiency in Python 3.8+ and modern Python features
Strong experience with asyncio and asynchronous programming patterns
Proficient in type hints, dataclasses, and modern Python best practices
Extensive experience with the FastAPI framework
Hands-on experience with both SQL and NoSQL databases
Familiarity with data serialization/deserialization formats (e.g., JSON, MessagePack)
Well-versed in version control using Git, including Git Flow methodology
Should Have Important not Critical -
Experience with prompt deployment and testing
Experience with Data structures and Pydantic for data validation and serialization
Cryptography library for encryption implementations
RESTful API design and implementation
WebSocket protocol implementation and management
API security, rate limiting, and authentication mechanisms
Redis for caching, queuing, and real-time data storage
Understanding of database design and query optimization
pytest framework and test automation
Mock and fixture creation for complex systems
Performance testing and load testing methodologies
Well versed with Azure cloud platform and its services
Knowledge of embeddings & Vector DBs
Experience with Gitlab CICD
Exposure to Docker, Kubernetes, AKS, and Gitlab CI/CD pipelines.
Could Have Nice to have -
Property-based testing with Hypothesis
Advanced asyncio programming and event loop management
Exposure to LLM/ Prompt Ops - Logging, testing, monitoring , prompt versioning
15 years full time education
