SCI SOLUTIONS GLOBAL - AI/ML Software Engineer

Software Engineer is needed in Plano, United States.

Client: SCI SOLUTIONS GLOBAL

Location: Plano, TX, us

Contract: Contract

Job Description

Role: AI/ML Software Engineer

Location: Plano, TX

Duration: 6 Months Contract

Employment: W2 (USC/GC Only)

Pay Rate: $65-70/hr W2

Interview: 2 rounds virtual; final round face-to-face

We are looking for a Senior Full Stack & Agentic AI Engineer to design, develop, and deploy production-grade AI applications and intelligent agent solutions. The ideal candidate will have strong software engineering and full-stack development experience, along with hands-on expertise in Generative AI, Agentic AI, RAG, LLMs, and conversational AI.

Key Responsibilities

• Design, develop, and deploy scalable Full Stack and Agentic AI applications.
• Build AI agents, multi-agent workflows, RAG pipelines, and LLM-powered applications.
• Develop backend services and APIs using Java and/or Python.
• Build modern frontend applications and integrate them with AI/ML services.
• Implement RAG solutions using chunking, embeddings, vector databases, and retrieval techniques.
• Work with AWS Bedrock and Anthropic Claude models and APIs.
• Use AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
• Develop conversational AI solutions, including text chatbots and voice-enabled applications.
• Apply prompt engineering techniques including system prompts, few-shot prompting, tool calling, and structured outputs.
• Build scalable microservices and event-driven architectures using AWS services.
• Implement CI/CD, Docker, Kubernetes/EKS/ECS, and Infrastructure as Code.
• Develop and integrate REST and GraphQL APIs.
• Implement LLM evaluation, observability, guardrails, content filtering, and responsible AI practices.
• Troubleshoot, optimize, and support production AI applications.

Requirements

• 7+ years of hands-on software development experience.
• Strong proficiency in Java and/or Python.
• Hands-on production experience with Generative AI, LLMs, and Agentic AI.
• Strong experience with RAG architectures, embeddings, chunking, and vector databases.
• Experience with one or more of:
• LangChain
• LlamaIndex
• Semantic Kernel
• CrewAI
• Hands-on experience with AWS Bedrock and Anthropic Claude.
• Strong understanding of prompt engineering and LLM application development.
• Experience with REST APIs, microservices, and event-driven systems.
• Experience with AWS services including:
• Lambda
• Step Functions
• API Gateway
• S3
• DynamoDB
• SQS
• Experience with Docker, Kubernetes/EKS/ECS, CI/CD, and Infrastructure as Code.
• Experience building conversational AI, chatbots, or voice-enabled AI applications.

Preferred Qualifications

• Experience with Pinecone, OpenSearch, pgvector, or FAISS.
• Experience with LLM evaluation and observability frameworks.
• Experience implementing AI guardrails, content filtering, and responsible AI practices.
• Experience integrating speech-to-text and text-to-speech technologies.
• Financial services or banking industry experience.
• Experience working in enterprise-scale and highly regulated environments.