Recently postedFull timeTechnology

AI Engineer

II-VI Aerospace & Defense | CoherentHyderabad🇮🇳India

Quick overview

SeniorityMid Senior

Employment typeFull Time

Work modeHybrid

LocationHyderabad, India

FastAPIFlaskMicroservicesSQLApache SparkAWSAngularLLMPythonGenerative AIRESTNode.jsReactMachine LearningPrompt EngineeringCI/CDLangChainLangGraphRAG

Job description

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

Bachelor’s 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, Node.js, 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.

Culture Commitment

Ensure adherence to company’s 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.

Finisar India (Subsidiary of Coherent Corp) is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender identity, sexual orientation, race, color, religion, national origin, disability, or any other characteristic protected by law.