Lead design, development, and deployment of production-grade Generative AI applications (LLM-based chatbots, agents, RAG systems). Hands-on coding in Python, integrate and benchmark models, build ingestion and vector retrieval pipelines, design architecture for performance and cost, mentor engineers, and implement AI governance, safety, and monitoring.
Job Title: Generative AI Technical Lead Overview
We are seeking a Hands-on Generative AI Technical Lead to design, build, and scale AI-powered applications using state-of-the-art large language models (LLMs) and multimodal systems. This role combines deep technical expertise with leadership, requiring active coding, architecture ownership, and mentorship of engineering teams.
Key Responsibilities- Lead end-to-end GenAI development
- Design, develop, and deploy LLM-based applications (chatbots, copilots, agents, RAG systems)
- Build scalable, production-grade AI systems
- Hands-on engineering
- Write high-quality code (Python, APIs, pipelines)
- Implement prompt engineering, fine-tuning, embeddings, and vector search
- Work directly with frameworks like LangChain, LlamaIndex, or similar
- Architecture & system design
- Define GenAI architecture (RAG, agents, tool use, orchestration)
- Optimize performance, latency, and cost of AI systems
- Model integration
- Integrate with OpenAI, Anthropic, open-source models (Llama, Mistral, etc.)
- Evaluate and benchmark models for use cases
- Data & retrieval systems
- Design vector databases (Pinecone, Weaviate, FAISS, etc.)
- Build ingestion pipelines and knowledge retrieval systems
- Team leadership
- Mentor engineers and guide best practices
- Conduct code reviews and technical design reviews
- Experimentation & innovation
- Stay current with GenAI trends (agents, multimodal, fine-tuning, evals)
- Rapidly prototype and validate new ideas
- AI governance & safety
- Implement guardrails, monitoring, and evaluation frameworks
- Ensure responsible and secure AI usage
- 10+ years of software engineering experience
- Strong programming skills in Python
- Experience with:
- LLM APIs (OpenAI, Anthropic, etc.)
- RAG pipelines and vector databases
- Prompt engineering and evaluation techniques
- Solid understanding of:
- NLP concepts, embeddings, transformers
- Distributed systems and cloud platforms (AWS/GCP/Azure)
- Experience building and deploying APIs and microservices
-
Compensation, Benefits and Duration
Minimum Compensation: USD 62,000
Maximum Compensation: USD 217,000
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
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Agency • Artificial Intelligence • Consumer Web • Digital Media • Analytics • Design
Manage end-to-end paid media campaigns across multiple clients and channels, including strategy, setup, optimization, tracking, and reporting. Analyze performance data, maintain tracking (GA4/Tag Manager), build reports and dashboards, and present insights to clients. Collaborate with account, creative, and analytics teams to drive growth and improve ROI while staying current on platform best practices.
Top Skills:
Conversions ApiFacebook/Meta AdsGoogle AdsGoogle Analytics (Ga4)Google Looker StudioGoogle SheetsGoogle Tag ManagerLinkedin AdsMicrosoft/Bing AdsPerformance MaxPinterest AdsProgrammatic AdvertisingReddit AdsTwitter/X AdsYoutube Ads
.png)
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The GRAIL Galleri Consultant will drive territory growth by engaging healthcare providers, executing the sales strategy for the Galleri product, and managing customer relationships.
Top Skills:
Google Suite
eCommerce • Fashion • Retail • Sales • Wearables • Design
Lead daily store operations to drive sales, profitability, and exceptional customer service. Recruit, coach, and develop a high-performing team; manage inventory, payroll, loss prevention, visual merchandising, scheduling, and local business plans. Serve as brand ambassador and ensure inclusive, results-driven store culture.
Top Skills:
Inventory Management SystemsLabor Management SystemsMS OfficeSales Reporting ToolsSocial Media
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
