Architecture​/Design​/Development - Python Developer III

Job : =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  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 Lang Chain 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 Lang Chain 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, Tensor Flow, Hugging Face, Pinecone
• LLMs & APIs:
OpenAI, Lang Chain, CrewAI
• Cloud & Dev Ops: 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:

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