2488 AI Software Engineer III
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Role details
Tech stack
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Job description
The Senior AI/Python Developer is responsible for designing, developing, and supporting secure, scalable AI-enabled applications for Wealth & Asset Management. The role focuses on Python development, Generative AI, prompt engineering, RAG, document intelligence, AI agents, and enterprise AI integration., * Design and develop production-quality applications and AI services using Python.
- Build Generative AI capabilities using Amazon Bedrock and Large Language Models (LLMs).
- Design, develop, test, and optimize prompts and prompt engineering techniques, including prompt templates, structured outputs, and reusable prompt patterns.
- Develop Retrieval-Augmented Generation (RAG), intelligent search, embedding, and vector retrieval solutions.
- Build AI agents and agent-based workflows using frameworks such as Strands Agents.
- Develop reusable AI services and APIs using technologies such as FastAPI and Pydantic.
- Integrate AI solutions with structured and unstructured enterprise data.
- Support document processing and extraction using Amazon Textract, where appropriate.
- Implement vector-based retrieval using PostgreSQL/pgvector.
- Implement safeguards for AI output quality, reliability, validation, traceability, and secure data handling.
- Optimize AI solutions for performance, latency, token usage, and cost.
- Develop automated testing and evaluation capabilities for AI solutions.
- Collaborate with application, data, DevOps, QA, architecture, cybersecurity, and business teams.
Requirements
- 8+ years of experience in Python development, software engineering, AI/ML engineering, or related roles
- Amazon Textract, AWS, Docker, and automated testing
- Experience developing AI agents and agentic workflows, preferably using Strands Agents
- Experience with Amazon Bedrock, LLM integration, and Generative AI solutions
- Experience with RAG, embeddings, semantic search, vector databases, and PostgreSQL/pgvector
- Strong experience with prompt engineering, including prompt design, testing, optimization, structured outputs, and evaluation
- Strong hands-on experience with Python, REST APIs, FastAPI, Pydantic, and boto3
- Strong understanding of AI security, data protection, responsible AI, and enterprise governance, * 8+ years of experience in Python development, software engineering, AI/ML engineering, or related roles.
- Strong hands-on experience with Python, REST APIs, FastAPI, Pydantic, and boto3.
- Experience with Amazon Bedrock, LLM integration, and Generative AI solutions.
- Strong experience with prompt engineering, including prompt design, testing, optimization, structured outputs, and evaluation.
- Experience with RAG, embeddings, semantic search, vector databases, and PostgreSQL/pgvector.
- Experience developing AI agents and agentic workflows, preferably using Strands Agents.
- Experience with Amazon Textract, AWS, Docker, and automated testing.
- Strong understanding of AI security, data protection, responsible AI, and enterprise governance.
- Experience working within large enterprise or regulated environments.
Benefits & conditions
- Competitive base salary
- Medical, dental, and vision insurance coverage
- Optional life and disability insurance provided
- 401(k) with a company match and optional profit sharing
- Paid vacation time
- Paid Bench time
- Training allowance offering
- You’ll be eligible to earn referral bonuses!
About the company
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
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