Architecture/Design/Development - Python Developer III

Job ID: z5G7h3l6a1kMvyS65NP3c6tdg05tujBB13Kea59wl30=Job Code: JPC - 208381Reference: 200003Location: Agawam, MA, 1001, United StatesJob Type: PBB/OTL-USContact: Umesh PavanJob Description: Job Title: GenAI Engineer (Senior/Lead)Bostin MA (Hybrid 3 days to work at client location)Rate: $95/hr (can go higher for right candidate)Industry: AI/ML, Enterprise Applications, Healthcare (if applicable)Overall Experience: 8 to 10 YearsRole Summary: We are seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.Key Responsibilities:• AI Application Development: Build and maintain Python-based AI services using LangChain and CrewAI. Implement RAG-based retrieval and Agentic AI workflows.• LLM Integration & Optimization: Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens, and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone).• Model Evaluation & Performance Tuning: Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications.• API & Microservices Development: Design scalable RESTful API services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting.• Cloud Deployment & Orchestration: Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation.• Agile Development & Innovation: Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases.Tech Stack & Tools:• AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone• LLMs & APIs: OpenAI, LangChain, CrewAI• Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD• Security & Compliance: OAuth2, JWT, HIPAAPreferred Qualifications:• 8+ years of overall experience with a minimum of 4 years in AI/ML, LLM integrations, and enterprise cloud solutions.• Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval.• Strong knowledge of scalable AI architectures and security best practices.Additional Sills: Skills: Category Name Required Importance Experience No items to display.Employment TypeC2C