Architecture/Design/Development - Python Developer III
Job ID: z5G7h3l6a1kMvyS65NP3c6tdg05tujBB13Kea59wl30=Job Code: JPC - 208381
Location: Agawam, MA, 1001, United States
Contact: Umesh Pavan
Job 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 Years
Role 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, HIPAA
Preferred 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:
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