Python Developers with Gen AI

• Build scalable Python applications that integrate with LLMs and GenAI frameworks.

• Develop APIs, microservices, and automation scripts to support AI-driven workflows.

• Generative AI Engineering

• Implement and fine-tune LLMs for domain-specific tasks.

• Work with frameworks such as LangChain, LlamaIndex, Hugging Face Transformers.

• Design retrieval-augmented generation (RAG) pipelines using vector databases.

• Data & Integration

• Create and manage embeddings pipelines for text and structured/unstructured data.

• Integrate GenAI models with external systems, databases, and cloud services.

• Performance & Monitoring

• Optimize AI applications for accuracy, latency, and scalability.

• Monitor production systems and troubleshoot issues proactively.

• Collaboration

• Work closely with data scientists, ML engineers, and product teams.

• Document technical processes and communicate effectively with stakeholders., Role Overview As a Python + Typescript Developer, you will leverage your expertise in both programming languages to drive impactful AI training initiatives. This role is perfect fo…

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We are seeking a talented Python Developer with hands-on experience in Generative AI (GenAI) to design, build, and deploy intelligent applications leveraging large language models (LLMs) and modern AI frameworks. The ideal candidate will combine strong Python development skills with expertise in AI/ML pipelines, prompt engineering, and integration of GenAI solutions into production systems., * Strong proficiency in Python (async programming, REST APIs, Flask/FastAPI, etc.).

• Experience with LLMs (OpenAI, Anthropic, Meta LLaMA, Mistral, etc.).
• Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of retrieval techniques and RAG architectures.
• Solid understanding of NLP concepts: embeddings, tokenization, semantic search.
• Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).

Preferred Qualifications

• Experience deploying GenAI applications in production environments.
• Contributions to open-source AI/ML projects.
• Background in enterprise-scale AI solutions or financial/healthcare domains.
• Advanced degree (M.S./Ph.D.) in Computer Science, AI, or related fields.