Job description:
Profile:
Skills: Python, GenAI, ML, GCP, FastAPI
Experience - 5+ Years
Time- 3 Hrs Per Day (Between 6 AM IST to 11 AM IST)
Location: Remote
Job Summary
We are seeking a highly skilled Backend Engineer with strong expertise in Python and a solid understanding of AI/ML systems, particularly agentic AI architectures. The ideal candidate will have hands-on experience building scalable backend services, integrating LLM-driven workflows using frameworks such as LangChain, LangGraph, and Google ADK, and deploying production-grade solutions on Google Cloud Platform (GCP).
This role involves close collaboration with data scientists, AI engineers, and product teams to design and implement intelligent, autonomous systems that power next-generation applications.
Key Responsibilities
Backend Engineering
Design, develop, and maintain scalable backend services using Python (FastAPI, Flask, Django)
Build RESTful and event-driven APIs to support AI-powered applications
Implement robust authentication, authorization, logging, and monitoring mechanisms
Ensure high performance, reliability, and security of backend systems
AI/ML \& Agentic AI Integration
Integrate LLMs and AI agents into backend workflows using LangChain, LangGraph, and Google ADK
Design and implement agentic AI systems (multi-agent orchestration, tool calling, memory, reasoning flows)
Collaborate with ML engineers to productionize ML models and inference pipelines
Optimize AI workflows for latency, cost, and scalability
Cloud \& DevOps (GCP)
Deploy and manage backend and AI services on GCP (Cloud Run, GKE, Compute Engine)
Work with Vertex AI for model hosting, experimentation, and pipelines
Implement CI/CD pipelines using GitHub Actions / Cloud Build
Manage cloud resources with cost, security, and performance best practices
Data \& Infrastructure
Work with databases such as PostgreSQL, MySQL, BigQuery, Firestore
Implement caching and messaging solutions (Redis, Pub/Sub)
Ensure proper data handling, observability, and error recovery
Required Skills \& Qualifications
Core Skills
Strong proficiency in Python for backend development
Hands-on experience with FastAPI / Flask / Django
Solid understanding of AI/ML fundamentals (model lifecycle, inference, embeddings, vector search)
Practical experience with LangChain, LangGraph, and/or Google ADK
Experience designing agent-based or autonomous AI systems
Strong knowledge of Google Cloud Platform (GCP) services
AI \& LLM Stack
Experience working with LLM APIs (OpenAI, Gemini, Anthropic, etc.)
Knowledge of prompt engineering, tool/function calling, memory management
Familiarity with vector databases (FAISS, Pinecone, Weaviate, Vertex AI Vector Search)
Cloud \& Engineering Best Practices
Experience with Docker and containerized deployments
Understanding of microservices and distributed systems
Familiarity with CI/CD, monitoring, and logging tools
Strong problem-solving and debugging skills
Job Types: Part-time, Contractual / Temporary, Freelance
Contract length: 6 months
Pay: From ₹30,000.00 per month
Expected hours: 15 per week
Benefits:
Work from home
Experience:
Python: 7 years (Required)
GCP: 4 years (Required)
FastAPI: 4 years (Required)
LLM: 3 years (Required)
Work Location: Remote