About the role

What will you do at Photon?

Role Summary:

We are seeking a Generative AI Engineer to build, optimize, and scale

production-ready AI applications. You will design complex multi-agent systems,

implement advanced RAG pipelines, and manage the deployment of both frontier and

local LLMs. The ideal candidate blends deep machine learning expertise with

modern software engineering practices.

Technical Stack:

LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.

Frameworks: LangChain, LlamaIndex, and Hugging Face.

Orchestration: LangGraph and Multi-Agent Systems (MAS).

Development: Python, FastAPI, and Asynchronous Programming.

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.

Deployment: Docker, Production API management, and LLM monitoring.

Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.

Key Responsibilities

Develop and orchestrate sophisticated AI workflows using LangGraph and
multi-agent architectures.
Build and maintain Advanced RAG systems utilizing LlamaIndex and vector
databases for high-accuracy retrieval.
Integrate and swap diverse LLMs (commercial and open-source) based on
performance and cost requirements.
Design and deploy high-performance, scalable backend services using FastAPI and
Async Python.
Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve
domain-specific performance.
Optimize GenAI workflows for latency, cost, and reliability using advanced
prompt engineering and monitoring tools.
Containerize and deploy AI services via Docker to production environments.
Required

Qualifications

5 years of hands-on experience building and deploying GenAI applications in a
production setting.
Strong proficiency in Python and the modern AI library ecosystem (LangChain,
LlamaIndex, etc.).
Experience with vector search, embedding models, and advanced data retrieval
patterns.
Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
Familiarity with production-grade monitoring, API security, and CI/CD for ML.
Compensation, Benefits and Duration
Minimum

Compensation

USD 56,000

Maximum

Compensation

USD 196,000

Compensation

is based on actual experience and qualifications of the candidate.

The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable

pay/incentives, paid time off, and paid holidays are available for full time

employees.

This position is not available for independent contractors

No applications will be considered if received more than 120 days after the date

of this post

Which skills does this role require?

Generative AIPythonLLMsLangChainLlamaIndexFastAPIPyTorchTensorFlowDockerVector DatabasesPrompt EngineeringMachine LearningMulti-agent systemsRAG pipelinesCI/CDAPI managementHugging FaceLangGraphAsynchronous ProgrammingPostgreSQLModel Fine-tuningAPI ManagementGenAI OptimizationQuantizationEmbedding modelsProduction-grade monitoringSoftware engineering

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.