AI/ML Software Engineer
SCI SOLUTIONS GLOBAL•Plano, TX
•$65 - $70•Onsite
About The Position
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. Candidates with 7+ years of software development experience are encouraged to apply, provided their background strongly aligns with Full Stack and Agentic AI development.
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.
Nice To Haves
- 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
