About Flarre AI
Flarre AI (https://www.flarre.ai/) is building AI-driven products, custom AI solutions, knowledge graph platforms, and intelligent automation systems. We are looking for highly motivated AI Engineers who can design, build, deploy, and scale production-grade AI applications using modern GenAI, LLM, and software engineering practices.
Role Overview:-
As an AI Engineer, you will work closely with product, engineering, and leadership teams to develop and deploy AI-powered applications that solve real-world business problems. You will be responsible for architecting AI solutions, building scalable backend systems, integrating LLMs, and delivering production-ready products.
Key Responsibilities:-
1)Design, build, and deploy AI-powered applications and agentic workflows.
2)Develop solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, and open-source models.
3)Implement Retrieval-Augmented Generation (RAG) systems and knowledge retrieval frameworks.
Build and optimize AI agents, copilots, and workflow automation systems.
4)Develop APIs and backend services supporting AI products.
5)Create evaluation frameworks and benchmarks for AI model performance.
6)Fine-tune and optimize models where required.
7)Collaborate with product managers and business stakeholders to translate requirements into AI solutions.
8)Ensure scalability, security, reliability, and observability of deployed AI systems.
9)Stay current with advancements in Generative AI, multi-agent systems, knowledge graphs, and machine learning.
Required Skills:-
1)Strong proficiency in Python.
2)Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar frameworks.
3)Hands-on experience with OpenAI, Anthropic, Gemini, or open-source LLM ecosystems.
4)Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or Milvus.
5)Strong understanding of RAG architectures and prompt engineering.
6)Backend development experience using FastAPI, Flask, or similar frameworks.
7)Familiarity with cloud platforms such as Azure, AWS, or GCP.
8)Knowledge of Docker, containers, CI/CD, and software engineering best practices.
9)Experience with Git and collaborative development workflows.
Preferred Skills:-
1)Experience building production AI agents.
2)Knowledge of Knowledge Graphs and Graph Databases (Neo4j, Memgraph, etc.).
3)Experience with MLOps and model monitoring.
4)Exposure to workflow orchestration platforms such as Camunda, Temporal, or Airflow.
5)Full-stack development experience is a plus.
Educational Background:-
1)Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
2)Strong candidates from leading engineering institutions are preferred.
Pay: ₹1,200,000.00 - ₹3,000,000.00 per year
Ability to commute/relocate:
- Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):
- What is your WhatsApp mobile number? (Required for application regarding confirmation)
- From what college have you completed your bachelor's degree?
- What email-id would you like us to communicate upon?
Work Location: In person
