About this role
GenAI/Python Developer – AI/ML
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
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Design, develop, and orchestrate sophisticated Generative AI workflows using LangGraph, LangChain, and multi-agent architectures.
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Build and maintain advanced Retrieval-Augmented Generation (RAG) solutions using LlamaIndex and vector databases.
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Design retrieval pipelines focused on improving the accuracy and relevance of LLM-generated responses.
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Integrate and evaluate multiple commercial and open-source LLMs, including OpenAI, Anthropic, Llama, and Mistral, based on application, performance, and cost requirements.
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Develop scalable and high-performance backend services and APIs using Python, FastAPI, and asynchronous programming.
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Fine-tune and customize LLMs for domain-specific use cases using PyTorch, TensorFlow, Hugging Face, LoRA, and QLoRA.
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Apply advanced prompt engineering techniques to improve LLM response quality and application performance.
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Optimize GenAI workflows for latency, cost, scalability, and reliability.
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Implement monitoring and observability for LLM applications using tools such as LangSmith and Langfuse.
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Containerize AI applications and services using Docker and support production deployments through CI/CD pipelines.
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Deploy and maintain GenAI solutions across cloud environments such as AWS, Azure, or GCP.
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Collaborate with engineering, AI/ML, architecture, and product teams to convert business requirements into scalable AI solutions.
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Troubleshoot and optimize production AI applications, APIs, retrieval pipelines, and model integrations.
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Compensation, Benefits and Duration
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Minimum Compensation: 155,000 USD
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Maximum Compensation: 217,000 USD
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Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
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Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
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This position is not available for independent contractors
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No applications will be considered if received more than 120 days after the date of this post.
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