AI Engineer
Share
Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities
- Build and maintain Generative AI applications using LLM APIs prompt workflows RAG pipelines and agent-based orchestration.
- Develop backend services APIs and microservices in Python using frameworks such as FastAPI or Flask.
- Implement use cases such as enterprise assistants document Q&A systems internal copilots workflow automation tools and tool-using AI agents.
- Integrate AI applications with enterprise systems databases APIs and external tools.
- Collect clean preprocess and structure datasets used for AI workflows retrieval pipelines evaluation and application inputs.
- Develop and maintain data and feature pipelines that support retrieval quality model inputs inference workflows and application consistency
- Support preparation of knowledge sources for RAG systems including chunking indexing metadata design and retrieval optimization.
- Implement MCP-style tool usage patterns connectors APIs and tool-enabled workflows where applicable.
- Participate in testing evaluation logging monitoring debugging and ongoing improvement of AI applications.
- Help optimize AI systems for latency response quality hallucination reduction robustness and token efficiency.
Required Qualifications
- Bachelors degree in computer science Artificial Intelligence Data Science Engineering or a related field.
- 5 years of experience in software engineering applied AI ML engineering or related development roles.
- Hands-on experience with one more cloud technology - Microsoft AWS Google
- Strong hands-on experience in 2 more skills - Python Pyspark React Angular Flask
- Good practical understanding of LLM-based applications and Generative AI implementation.
- Experience with some of the following: prompt engineering RAG pipelines vector databases agent frameworks API integration Python backend development and data preparation or workflow pipelines.
- Familiarity with frameworks and tools such as LangChain LangGraph CrewAI Phidata LlamaIndex or similar.
- Experience building REST APIs or backend services using FastAPI Flask or similar frameworks.
- Good understanding of JSON structured data flows APIs and service-oriented design.
- Proficiency in SQL and relational databases along with experience in managing unstructured data using NoSQL or vector databases for AI model training and retrieval.
- Strong problem-solving skills and willingness to learn quickly
Preferred Qualifications
- Exposure to open-source LLM tooling and model-serving workflows.
- Familiarity with LLM evaluation and tuning of prompt or retrieval quality.
- Exposure to containers CI/CD cloud platforms or deployment pipelines.
- Exposure to supervised and unsupervised machine learning concepts.
- Experience with enterprise application integration.
- Exposure to engineering manufacturing scientific or photonics-related applications
Working Conditions
- The work mode of Finisar India is Hybrid i.e. 3 days at office.
CultureCommitment
Ensure adherence to companys values (ICARE) in all aspects of your position at Coherent Corp.:
Integrity Create an Environment of Trust
Collaboration Innovate Through the Sharing of Ideas
Accountability Own the Process and the Outcome
Respect Recognize the Value in Everyone
Enthusiasm Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law.
Required Experience:
IC
Key Skills
About Company
Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor ... View more
