Job Description: GenAI/Python Developer – AI/ML
Role Overview
We are looking for an experienced GenAI/Python Developer to design, build, and deploy production-grade Generative AI applications and intelligent agent-based solutions. The ideal candidate will have strong expertise in Python, LangGraph, LangChain, LlamaIndex, RAG, vector databases, LLM integration, and multi-agent architectures.
The role requires hands-on experience building scalable AI solutions, integrating commercial and open-source LLMs, fine-tuning models, and optimizing GenAI applications for performance, latency, cost, reliability, and production scalability.
Key Responsibilities
- Design, develop, and orchestrate sophisticated Generative AI workflows using LangGraph, LangChain, and multi-agent architectures.
- Build and maintain advanced Retrieval-Augmented Generation (RAG) solutions using LlamaIndex and vector databases.
- Design retrieval pipelines focused on improving the accuracy and relevance of LLM-generated responses.
- Integrate and evaluate multiple commercial and open-source LLMs, including OpenAI, Anthropic, Llama, and Mistral, based on application, performance, and cost requirements.
- Develop scalable and high-performance backend services and APIs using Python, FastAPI, and asynchronous programming.
- Fine-tune and customize LLMs for domain-specific use cases using PyTorch, TensorFlow, Hugging Face, LoRA, and QLoRA.
- Apply advanced prompt engineering techniques to improve LLM response quality and application performance.
- Optimize GenAI workflows for latency, cost, scalability, and reliability.
- Implement monitoring and observability for LLM applications using tools such as LangSmith and Langfuse.
- Containerize AI applications and services using Docker and support production deployments through CI/CD pipelines.
- Deploy and maintain GenAI solutions across cloud environments such as AWS, Azure, or GCP.
- Collaborate with engineering, AI/ML, architecture, and product teams to convert business requirements into scalable AI solutions.
- Troubleshoot and optimize production AI applications, APIs, retrieval pipelines, and model integrations.
Compensation, Benefits and Duration
Minimum Compensation: 155,000 USD
Maximum Compensation: 217,000 USD
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.
Skills Required
- Strong Python expertise
- Hands-on experience with LangGraph, LangChain, LlamaIndex, RAG, vector databases, LLM integration, and multi-agent architectures
- Experience building scalable Generative AI solutions and integrating commercial and open-source LLMs
- Experience fine-tuning and customizing LLMs using PyTorch, TensorFlow, Hugging Face, LoRA, and QLoRA
- Experience developing backend services and APIs using FastAPI and asynchronous programming
- Experience with prompt engineering and GenAI performance optimization
- Experience with LLM application monitoring and observability tools such as LangSmith and Langfuse
- Experience with Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP
- Experience troubleshooting and optimizing production AI applications, APIs, retrieval pipelines, and model integrations
What We Do
Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.
