What are the responsibilities and job description for the Senior GenAI Engineer position at Soft-World?
Job Title : Senior GenAI Engineer Job Location : Boston, Massachusetts 02110 (Hybrid role - Likely 2-3 days in the office (TBD)) Onsite Requirements : Python LLMs GenAI Job Description : 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 Lang Chain, and Crew AI. 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 APIs 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, TensorFlow, Hugging Face, Pinecone LLMs & APIs : OpenAI, Lang Chain, Crew AI Cloud & DevOps : AWS, Azure, Kubernetes, Docker, CI / CD Security & Compliance : OAuth2, JWT, HIPAA Qualifications : 10 years of overall experience and a minimum of 4 years' experience in AI / ML, LLM integrations, and enterprise cloud (AWS, Azure, GCP) solutions Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval Strong knowledge of scalable AI architectures and security best practices Required Tech Skills : Python-based AI development experience LLM / AI integration experience LMM metrics experience API, Microservices, Cloud experience 3rd party and subcontract staffing agencies are not eligible for partnership in this position. 3rd party subcontractors need not apply. This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future.
