Integration Engineer II - AI and Python Developer
$86.7k - $170.9kDeloitte LLP
Integration Engineer II, AI & Engineering/Engineering as a Service
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation. Recruiting for this role ends on 8/1/26. Work You'll Do You are a hands-on Python and AI Developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native applications and AI-augmented features, growing your technical depth across the stack. You will work alongside senior engineers to grow your technical skills while making meaningful contributions to our projects. Key Responsibilities
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation. Recruiting for this role ends on 8/1/26. Work You'll Do You are a hands-on Python and AI Developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native applications and AI-augmented features, growing your technical depth across the stack. You will work alongside senior engineers to grow your technical skills while making meaningful contributions to our projects. Key Responsibilities
- Support AI and emerging technology initiatives across business and technology teams.
- Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
- Help develop and prototype AI use cases that solve real business problems.
- Evaluate and apply foundation models, LLMs, and modern AI frameworks.
- Contribute to RAG, memory systems, tool use, and function-calling patterns.
- Support multi-agent workflows and autonomous AI capabilities.
- Assist with AI experimentation, proof-of-concepts, and solution testing.
- Partner with data, engineering, and business teams to move AI solutions toward production.
- Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
- Communicate technical AI concepts clearly to both technical and non-technical audiences.
- Promote responsible AI practices, including ethics, governance and bias mitigation.
- Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions.
- Identify, diagnose, and resolve bugs and performance issues in development and production environments.
- Assist in breaking down technical requirements into well-scoped tasks and estimates.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- 4+ years of professional software engineering experience with hands-on experience in Python and ReactJS.
- 3+ years of full system lifecycle development experience, from requirements through production deployment.
- 1+ years' experience in AI/ML, Generative AI, or advanced analytics.
- 2+ years' experience in ML fundamentals and model evaluation.
- 1+ years' experience in LLMs, prompt engineering, fine-tuning, and multimodel AI.
- 2+ years in a client-facing development role, or a demonstrated ability to engage professionally with external stakeholders.
- Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
- 1+ years' experience with vector databases, RAG, and tool/function calling.
- 1+ years' experience with Cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus.
- Strong understanding of MLOps and CI/CD for AI solutions.
- Strong verbal and written communication skills with the ability to work effectively in a team environment.
- Bachelor's degree in computer science, Engineering, or a related discipline.
- Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
- Must be currently based in the Baltimore, MD area, Hartford, CT, Atlanta or Minneapolis for onsite work a few days a week.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Experience working with global Agile teams and cross-functional teams.
- Familiarity with CI/CD pipelines and DevOps practices.
- Interest in mentoring others and taking on increased technical responsibility over time.
- Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent).
Vacancy posted 3 days ago
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